Artificial intelligence chip development board introduction

The artificial intelligence chip development board is a hardware platform specially designed for the development and implementation of artificial intelligence applications. They integrate high-performance artificial intelligence chips, multiple sensors, rich interfaces and development tools, providing developers with a convenient environment to build, train and deploy artificial intelligence models.

These development boards have powerful processing capabilities and use high-performance chips such as GPUs, FPGAs, or dedicated AI accelerators to handle complex machine learning and deep learning algorithms. They also integrate various sensors, such as cameras, microphones, accelerometers, etc., for sensing the environment and acquiring input data. At the same time, the development board provides a variety of interfaces and communication methods to facilitate connection and interaction with external devices, and has an expansion interface to support the connection of external modules and sensors.

To help developers quickly develop and optimize AI applications, these development boards are usually equipped with development tools and software frameworks, such as deep learning libraries, image processing tools, and programming interfaces. They provide functions such as training models, inference acceleration, data acquisition and processing, and can be applied to various artificial intelligence applications such as image recognition, speech recognition, robot control, and autonomous driving.

In the market, some well-known artificial intelligence chip development board brands include NVIDIA's Jetson series, Intel's Neural Compute Stick, Raspberry Pi's Coral series, Google's Edge TPU, etc. These development boards are widely used in education, research, and industry, providing developers with a platform to experiment and validate AI models.

By using the artificial intelligence chip development board, developers can develop, test and optimize artificial intelligence applications more conveniently, and promote the development of artificial intelligence technology and the popularization of applications.

1. Case introduction

RK3399 development board has a wide range of applications in artificial intelligence, embedded systems, Internet of Things and other fields. It can be used to develop various projects such as smart home devices, embedded systems, robots, drones, smart surveillance, and more. Developers can take advantage of the powerful performance and rich hardware resources of the RK3399 development board to quickly develop and debug applications, and accelerate the process of product launch and project implementation.

RK3399 development board has rich hardware resources and rich expansion interfaces, suitable for development and debugging of various application scenarios. Here are some key features of the RK3399 development board:

Processor: RK3399 chip, dual-core Cortex-A72 high-performance core (maximum frequency 2.0GHz), quad-core Cortex-A53 low-power core (maximum frequency 1.5GHz), Mali-T860MP4 GPU.

Memory and storage: Development boards are usually equipped with 4GB or more of LPDDR4 memory, and 16GB or more of flash memory, which can be expanded with a MicroSD card.

Display output: supports a variety of display output interfaces, such as HDMI 2.0, DisplayPort 1.2 and eDP 1.3, which can be connected to monitors, TVs or other external display devices.

Touch screen and camera: It has a touch screen interface, which can be connected to the touch screen for interactive operation. In addition, the development board is usually equipped with a MIPI CSI interface, which can be connected to a camera for image acquisition.

Network and wireless connection: support Gigabit Ethernet interface, can realize wired network connection. At the same time, it also provides WiFi and Bluetooth modules to support the connection of wireless networks and Bluetooth devices.

Expansion interface: The development board usually provides multiple USB interfaces (including USB 3.0 and USB 2.0), as well as PCIe interface, GPIO interface, etc., to facilitate the connection and expansion of external devices.

Operating system support: RK3399 development board usually supports multiple operating systems, such as Android, Linux, etc. Developers can choose a suitable operating system for development and debugging according to their needs.

Other functions: The development board may also have functions such as audio input and output interfaces, Ethernet ports, Bluetooth modules, and infrared receivers to meet the needs of different application scenarios.

Manufacturer: https://www.t-firefly.com/product/rk3399.html

Getting started guide (beginners must read):

http://wiki.t-firefly.com/index.php/Firefly-RK3399/Starter_guide

维基教程（入门教学、驱动开发教程、Android&Linux开发教程）：

http://wiki.t-firefly.com/index.php/Firefly-RK3399

资料下载（SDK源代码、升级工具、固件、硬件资料、视频教程、教学文档）：    

http://www.t-firefly.com/doc/download/3.html

Firefly-RK3399百度云下载（源代码、工具、视频、文档、固件）：

https://pan.baidu.com/s/1o7Cdilk

2. Chip introduction

Similar to some products of RK3399 development board, they are also based on high-performance processors and have rich hardware resources and expansion interfaces. Here are the top 10 recommended products (ranked in order) according to general evaluation and market feedback:

Firefly-RK3399: This is a high-performance RK3399 development board launched by the Firefly team, with powerful performance and rich interfaces, including HDMI, USB, MIPI CSI, Ethernet, etc.

ASUS Tinker Board: This is a development board launched by ASUS, using Rockchip RK3288 quad-core processor, with powerful graphics performance and rich interfaces, suitable for IoT and embedded applications.

Odroid-N2: This is a development board launched by Hardkernel, using Amlogic S922X processor, with six-core core processor and powerful graphics performance, supports 4K video playback and multiple interfaces.

Khadas VIM3: This is a development board launched by Khadas, which uses Amlogic A311D processor, has high-performance CPU and GPU, supports 4K video playback and multiple interfaces.

NanoPi M4: This is a development board launched by FriendlyElec, which uses Rockchip RK3399 processor, has powerful performance and rich interfaces, and is suitable for IoT and embedded applications.

Pine64 RockPro64: This is a development board launched by Pine64, which uses the Rockchip RK3399 processor, has powerful performance and rich interfaces, and is suitable for IoT and embedded applications.

UDOO Bolt: This is a development board launched by UDOO, featuring AMD Ryzen embedded processor with powerful computing and graphics performance, suitable for IoT and robotics applications.

Wandboard: This is a development board launched by Wandboard, which uses NXP i.MX series processors, has rich interfaces and expansion capabilities, and is suitable for embedded systems and Internet of Things applications.

BeagleBone Black: This is a development board launched by BeagleBoard, using TI Sitara AM335x processor, with rich interfaces and expansion capabilities, suitable for embedded systems and Internet of Things applications.

Orange Pi RK3399: This is a development board launched by Orange Pi, using Rockchip RK3399 processor, with powerful performance and rich interfaces, suitable for IoT and embedded applications.

3. Artificial intelligence chip development board

The following are the recommendations of 10 artificial intelligence chip development boards, including their corresponding prices (prices may fluctuate according to market changes):

NVIDIA Jetson Xavier NX: Adopts NVIDIA Xavier chip, equipped with six-core ARM CPU and 384 NVIDIA CUDA cores, supporting deep learning and machine vision applications. The price is about $399.

Google Coral Dev Board: Equipped with Google's own Tensor Processing Unit (TPU), it has powerful AI acceleration capabilities. The price is about $149.99.

Intel Neural Compute Stick 2: This is a USB plug-in AI inference accelerator that can be used to develop and accelerate neural network inference tasks. The price is about $99.99.

Edge TPU Development Board: Launched by Google, equipped with Google's own Edge TPU chip, suitable for AI reasoning tasks on edge devices. The price is about $150.

HiSilicon Hi3559A: A development board launched by Huawei HiSilicon, equipped with the HiSilicon Hi3559A chip, which supports AI image processing and computing. The price is about $300.

Xilinx Zynq UltraScale+ MPSoC: Combo chip featuring Xilinx FPGA and ARM processor for high-performance computing and deep learning acceleration. Prices vary by model, usually in the $500 to over $1000 range.

Raspberry Pi 4 Model B with Coral USB Accelerator: Raspberry Pi 4 Model B works with Coral USB Accelerator to provide higher performance AI reasoning and image processing functions. The total price is about $100 (Raspberry Pi 4 Model B) + $74.99 (Coral USB Accelerator).

MediaTek LinkIt 7688: This is a low-cost development board with chips from MediaTek for IoT devices and AI edge computing. Prices are around $15 to $20.

Kendryte K210: A development board launched by Canonic, equipped with the Kendryte K210 chip, which has high-performance edge computing and machine vision processing capabilities. Prices are around $25 to $30.

Jetson Nano Developer Kit: A low-cost AI development board launched by NVIDIA, equipped with NVIDIA Maxwell GPU and quad-core ARM Cortex-A57 CPU. The price is about $99.

4. Domestic artificial intelligence chip development board

Cambricon MLU100 AI development board: Equipped with Cambricon's own MLU100 AI chip, it supports deep learning and machine vision applications. The price is about ￥10,000 to ￥15,000.

Horizon Robotics Journey AI development board: Equipped with Horizon Robotics' own AI chip, it is suitable for areas such as autonomous driving and smart cameras. The price is about ￥8,000 to ￥10,000.

DeePhi DPU AI development board: adopts DeePhi's own DPU chip, supports deep learning and neural network applications. The price is about ￥3,000 to ￥5,000.

Bitmain Sophon Edge AI development board: launched by Bitmain, equipped with its own Sophon AI chip, suitable for edge computing and artificial intelligence applications. The price is about ￥2,000 to ￥3,000.

Espressif ESP32-Azure IoT Kit: A development board launched by Espressif, equipped with an ESP32 chip, suitable for IoT and edge computing applications. The price is about ￥300 to ￥400.

ThinkForce AI development board: Launched by Cambrian (ThinkForce), it is equipped with its own AI chip and supports deep learning and edge computing applications. The price is about ￥2,000 to ￥3,000.

Stariver AI development board: Equipped with Stariver's own AI chip, it supports deep learning and machine vision applications. The price is about ￥3,000 to ￥4,000.

Horizon Robotics Sunrise AI Development Board: Equipped with Horizon Robotics' own AI chip, it is suitable for smart cameras and edge computing applications. The price is about ￥2,000 to ￥3,000.

Cambricon MLU270 AI development board: Equipped with Cambricon's own MLU270 AI chip, it is suitable for deep learning and edge computing applications. The price is about ￥20,000 to ￥25,000.

Bitmain Sophon BM1880 AI development board: launched by Bitmain, equipped with its own BM1880 AI chip, suitable for embedded AI applications. The price is about ￥1,500 to ￥2,000.

Horizon Robotics Journey 2 AI development board: Equipped with Horizon Robotics' own AI chip, it is suitable for areas such as autonomous driving and smart cameras. The price is about ￥10,000 to ￥15,000.

Alibaba T-Head AI development board: Equipped with Alibaba T-Head's own AI chip, it supports deep learning and edge computing applications. The price is about ￥1,000 to ￥2,000.

Haikangwei AI development board: Equipped with Haikangwei's own AI chip, it is suitable for security monitoring and smart cameras and other fields. The price is about ￥2,000 to ￥3,000.

MatrixVoice AI development board: Launched by Matrix Labs, it is equipped with an AI chip and is suitable for speech recognition and audio processing applications. The price is about ￥600 to ￥800.

DeePhi DPU 3.0 AI development board: adopts DeePhi's own DPU chip, supports deep learning and neural network applications. The price is about ￥5,000 to ￥8,000.

SmartSens AI development board: Equipped with SmartSens' own AI chip, it is suitable for image processing and smart camera applications. The price is about ￥1,000 to ￥2,000.

Thundersoft AI development board: Equipped with Thundersoft's own AI chip, it supports deep learning and edge computing applications. The price is about ￥2,000 to ￥3,000.

Rockchip RK1808 AI development board: Equipped with Rockchip's own RK1808 AI chip, it is suitable for smart speakers and edge computing applications. The price is about ￥500 to ￥800.

AI Core XM2280 AI development board: Launched by Aotu, equipped with its own XM2280 AI chip, suitable for edge computing and intelligent vision applications. The price is about ￥1,000 to ￥2,000.

Yunmai AI development board: Equipped with Yunmai's own AI chip, it supports deep learning and machine vision applications. The price is about ￥1,000 to ￥2,000.

Bitmain Sophon BM1684 AI development board: launched by Bitmain, equipped with its own BM1684 AI chip, suitable for deep learning and edge computing applications. The price is about ￥1,500 to ￥2,000.

Horizon Robotics Sunrise 2 AI development board: Equipped with Horizon Robotics' own AI chip, it is suitable for smart cameras and edge computing applications. The price is about ￥2,000 to ￥3,000.

HiSilicon Hi3519 AI development board: launched by Huawei HiSilicon, equipped with its own Hi3519 AI chip, suitable for smart cameras and edge computing applications. The price is about ￥2,000 to ￥3,000.

Goodix AI development board: Equipped with Goodix's own AI chip, it supports biometric identification and intelligent perception applications. The price is about ￥1,000 to ￥2,000.

Pinecone AI development board: launched by Megvii, equipped with Pinecone AI chip, suitable for deep learning and face recognition applications. The price is about ￥1,500 to ￥2,000.

Cambricon MLU220 AI development board: Equipped with Cambricon's own MLU220 AI chip, it supports deep learning and machine vision applications. The price is about ￥5,000 to ￥7,000.

Horizon Robotics Sunrise NPU AI development board: Equipped with Horizon Robotics' own AI chip, it is suitable for smart cameras and edge computing applications. The price is about ￥2,000 to ￥3,000.

Alibaba Hangguang 800 AI development board: Equipped with Alibaba Hanguang 800 AI chip, it supports deep learning and edge computing applications. The price is about ￥5,000 to ￥8,000.

Cambricon 1H AI development board: Equipped with Cambricon's own 1H AI chip, it supports deep learning and machine vision applications. The price is about ￥5,000 to ￥8,000.

Horizon Robotics Journey 3 AI development board: Equipped with Horizon Robotics' own AI chip, it is suitable for areas such as autonomous driving and smart cameras. The price is about ￥10,000 to ￥15,000.

5. Domestic small artificial intelligence chip development board

The following are 30 chip development boards in China, and their prices are usually between 400 and 600 yuan (the price may fluctuate according to market changes): Sipeed MAix BiT AI development board: equipped with Sipeed’s own K210
chip, suitable for Edge computing and artificial intelligence applications. The price is about 400 yuan.

Sipeed MAixduino AI development board: Equipped with Sipeed's own K210 chip, it is suitable for edge computing and artificial intelligence applications. The price is about 400 yuan.

Kendryte K210 AI development board: Launched by Canonic, it is equipped with Kendryte K210 chip, which has high-performance edge computing and machine vision processing capabilities. The price is about 400 yuan.

DeePhi DPU AI development board: adopts DeePhi's own DPU chip, supports deep learning and neural network applications. The price is about 500 yuan.

Horizon Robotics Sunrise AI Development Board: Equipped with Horizon Robotics' own AI chip, it is suitable for smart cameras and edge computing applications. The price is about 500 yuan.

DJI RoboMaster EP AI development board: Launched by DJI Innovations, equipped with its own AI chip, suitable for robotics and artificial intelligence applications. The price is about 500 yuan.

Arducam OV2640+MAix BiT AI development board: Equipped with Sipeed's own K210 chip and Arducam's camera module, it is suitable for edge computing and image processing applications. The price is about 500 yuan.

CubieAIO-710 AI development board: Launched by CubieTech, equipped with its own AI chip, it supports deep learning and edge computing applications. The price is about 500 yuan.

HiSilicon Hi3519 AI development board: launched by Huawei HiSilicon, equipped with its own Hi3519 AI chip, suitable for smart cameras and edge computing applications. The price is about 500 yuan.

SmartSens AI development board: Equipped with SmartSens' own AI chip, it supports deep learning and machine vision applications. The price is about 500 yuan.

Raspberry Pi 4 Model B: This is a low-cost development board, using Broadcom BCM2711 chip, with powerful performance and rich interfaces. The price is about 400 yuan.

Orange Pi 4B: This is a development board launched by Orange Pi, which uses Rockchip RK3399 chip, supports 4K video playback and multiple interfaces. The price is about 500 yuan.

NanoPi M4: This is a development board launched by FriendlyElec, using Rockchip RK3399 chip, with powerful performance and rich interfaces. The price is about 500 yuan.

Banana Pi BPI-M4: This is a development board launched by Banana Pi, which uses Realtek RTD1395 chip, supports 4K video playback and multiple interfaces. The price is about 400 yuan.

T-Chip AI development board: Equipped with T-Chip's own AI chip, it supports deep learning and machine vision applications. The price is about 400 yuan.

Hoperun K210 AI development board: Equipped with Hoperun's own K210 chip, it is suitable for edge computing and artificial intelligence applications. The price is about 400 yuan.

Espressif ESP32-Azure IoT Kit: A development board launched by Espressif, equipped with an ESP32 chip, suitable for IoT and edge computing applications. The price is about 400 yuan.

Ameba RTL8722DM AI development board: launched by Realtek, equipped with RTL8722DM AI chip, suitable for IoT and edge computing applications. The price is about 400 yuan.

PINE64 RockPro64: This is a development board launched by PINE64, using Rockchip RK3399 chip, with powerful performance and rich interfaces. The price is about 500 yuan.

M5Stack Core2: This is a development board launched by M5Stack, which uses ESP32 chip and has rich interfaces and expansion capabilities. The price is about 500 yuan.

ESP32-C3-DevKitM-1: A development board launched by Espressif that uses the ESP32-C3 chip and supports IoT and edge computing applications. The price is about 400 yuan.

Sipeed Maixduino AI development board: Equipped with Sipeed's own K210 chip, it is suitable for edge computing and artificial intelligence applications. The price is about 400 yuan.

PINE64 PineCube: This is a development board launched by PINE64, equipped with Allwinner S3 chip, suitable for smart camera and IoT applications. The price is about 400 yuan.

Khadas VIM3L: This is a development board launched by Khadas, using the Amlogic S905D3 chip, with powerful performance and rich interfaces. The price is about 500 yuan.

SmartFly Firefly-RK3399: This is a development board launched by SmartFly, using Rockchip RK3399 chip, with powerful performance and rich interfaces. The price is about 600 yuan.

RockPi X: This is a development board from Radxa that uses the Intel Cherry Trail Z8300 chip for IoT and embedded applications. The price is about 400 yuan.

Sipeed Tang Nano AI development board: Equipped with Sipeed's own K210 chip, it is suitable for edge computing and artificial intelligence applications. The price is about 400 yuan.

Banana Pi BPI-M2 Pro: This is a development board launched by Banana Pi, using the Amlogic S905X chip, with powerful performance and rich interfaces. The price is about 500 yuan.

Nezha AI development board: Equipped with Pensees' own AI chip, it supports deep learning and edge computing applications. The price is about 600 yuan.

Sipeed Maix BiT AI development board: Equipped with Sipeed's own K210 chip, it is suitable for edge computing and artificial intelligence applications. The price is about 400 yuan.

6. Computer vision chip development board

Sipeed MAix BiT AI development board: Equipped with Sipeed's own K210 chip, it supports computer vision and edge computing applications. The price is about 400 yuan.

Kendryte K210 AI development board: Launched by Canonic, it is equipped with Kendryte K210 chip, which has high-performance edge computing and machine vision processing capabilities. The price is about 400 yuan.

Sipeed MAixduino AI development board: Equipped with Sipeed's own K210 chip, it supports computer vision and edge computing applications. The price is about 400 yuan.

DJI RoboMaster EP AI development board: Launched by DJI Innovations, equipped with its own AI chip, suitable for robotics and computer vision applications. The price is about 500 yuan.

Arducam OV2640+MAix BiT AI development board: Equipped with Sipeed's own K210 chip and Arducam's camera module, it is suitable for computer vision and edge computing applications. The price is about 500 yuan.

Sipeed MAix BiT for Face Recognition Kit: Equipped with Sipeed's own K210 chip, it is specially designed for face recognition applications. The price is about 500 yuan.

HiSilicon Hi3519 AI development board: launched by Huawei HiSilicon, equipped with its own Hi3519 AI chip, suitable for smart camera and computer vision applications. The price is about 500 yuan.

CubieAIO-710 AI development board: Launched by CubieTech, equipped with its own AI chip, it supports computer vision and edge computing applications. The price is about 500 yuan.

M5StickV AI Development Kit: Launched by M5Stack, equipped with K210 chip, suitable for computer vision and edge computing applications. The price is about 500 yuan.

Xilinx Zybo Z7 AI Development Board: Combo chip featuring Xilinx FPGA and ARM processor for high-performance computing and computer vision applications. The price is about 600 yuan.

Sipeed MAix Amigo AI development board: Equipped with Sipeed's own K210 chip, it supports computer vision and edge computing applications. The price is about 500 yuan.

Kendryte KD233 AI development board: Launched by Kendryte, equipped with Kendryte K210 chip, suitable for computer vision and edge computing applications. The price is about 400 yuan.

JDEAI AI development board: Equipped with JDEAI's own AI chip, it supports computer vision and edge computing applications. The price is about 500 yuan.

RoboSens AI development board: Equipped with RoboSens' own AI chip, it supports computer vision and edge computing applications. The price is about 500 yuan.

YunshuAI AI development board: Equipped with YunshuAI's own AI chip, it supports computer vision and edge computing applications. The price is about 500 yuan.

UniEyes AI development board: Equipped with UniEyes' own AI chip, it supports computer vision and edge computing applications. The price is about 500 yuan.

SmartFly Firefly-PXAI AI development board: Equipped with SmartFly's own AI chip, it is suitable for computer vision and edge computing applications. The price is about 500 yuan.

PINE64 S3-OLinuXino AI development board: Launched by PINE64, equipped with Allwinner S3 chip, suitable for computer vision and Internet of Things applications. The price is about 500 yuan.

Maixduino AI Plus development board: Equipped with Sipeed's own K210 chip, it supports computer vision and edge computing applications. The price is about 500 yuan.

Khadas Edge AI development board: launched by Khadas, equipped with Rockchip RK3399 chip, suitable for computer vision and edge computing applications. The price is about 600 yuan.

7. Artificial intelligence robot chip development board

Sipeed MAix BiT AI robot development board: Equipped with Sipeed's own K210 chip, it supports artificial intelligence robots and edge computing applications. The price is about 400 yuan.

Sipeed MAixduino AI robot development board: Equipped with Sipeed's own K210 chip, it supports artificial intelligence robots and edge computing applications. The price is about 400 yuan.

Geekworm Raspberry Pi AI robot kit: equipped with Raspberry Pi development board, with AI expansion board and robot parts, suitable for artificial intelligence robot applications. The price is about 500 yuan.

LattePanda Delta AI robot development board: equipped with Intel Cherry Trail Z8350 chip, with AI expansion board and robot parts, suitable for artificial intelligence robot applications. The price is about 600 yuan.

RoboSens AI robot development board: Equipped with RoboSens' own AI chip, it supports artificial intelligence robots and edge computing applications. The price is about 500 yuan.

C-Home ROS robot kit: Equipped with NVIDIA Jetson Nano development board, with ROS (Robot Operating System) and robot parts, it is suitable for artificial intelligence robot applications. The price is about 600 yuan.

Snips Voice AI robot kit: Equipped with Raspberry Pi development board, with Snips Voice AI expansion board and robot parts, it is suitable for voice-controlled artificial intelligence robot applications. The price is about 500 yuan.

LattePanda Alpha AI robot development board: equipped with Intel Core m3 chip, with AI expansion board and robot parts, suitable for high-performance artificial intelligence robot applications. The price is about 600 yuan.

DJI RoboMaster AI robot development board: Launched by DJI Innovations, equipped with its own AI chip, suitable for robot and artificial intelligence applications. The price is about 500 yuan.

DFRobot HuskyLens AI robot development kit: Equipped with HuskyLens AI vision module and Arduino development board, it is suitable for artificial intelligence robot applications of visual navigation. The price is about 500 yuan.

Adeept RaspTank AI robot kit: Equipped with Raspberry Pi development board, combined with robot chassis and AI expansion board, it is suitable for intelligent tank robot applications. The price is about 500 yuan.

Khadas Edge AI robot development board: launched by Khadas, equipped with Rockchip RK3399 chip, suitable for artificial intelligence robots and edge computing applications. The price is about 600 yuan.

Waveshare JetBot AI robot kit: Equipped with NVIDIA Jetson Nano development board, combined with robot chassis and AI expansion board, it is suitable for intelligent robot applications. The price is about 600 yuan.

EAI AI robot development board: Equipped with EAI's own AI chip, it supports artificial intelligence robots and edge computing applications. The price is about 500 yuan.

OpenCat robot kit: equipped with Raspberry Pi development board, with robot chassis and AI expansion board, suitable for robot control and artificial intelligence applications. The price is about 500 yuan.

Arducam AI robot development kit: equipped with Raspberry Pi development board, with Arducam AI expansion board and robot parts, suitable for artificial intelligence robot applications. The price is about 500 yuan.

SainSmart JetRacer AI robot kit: Equipped with NVIDIA Jetson Nano development board, combined with JetRacer chassis and AI expansion board, it is suitable for intelligent racing robot applications. The price is about 600 yuan.

Geekworm JetBot AI robot kit: Equipped with NVIDIA Jetson Nano development board, combined with robot chassis and AI expansion board, it is suitable for intelligent robot applications. The price is about 600 yuan.

DFRobot HuskyLens+Raspberry Pi AI robot kit: Equipped with HuskyLens AI vision module and Raspberry Pi development board, it is suitable for artificial intelligence robot applications of visual navigation. The price is about 500 yuan.

LattePanda Alpha AI robot kit: Equipped with Intel Core m3 chip, with AI expansion board and robot parts, it is suitable for high-performance artificial intelligence robot applications. The price is about 600 yuan.

Elecrow CrowPi AI robot kit: Equipped with Raspberry Pi development board, combined with robot chassis and AI expansion board, it is suitable for multi-functional artificial intelligence robot applications. The price is about 500 yuan.

LattePanda Delta AI robot development board: equipped with Intel Cherry Trail Z8350 chip, with AI expansion board and robot parts, suitable for artificial intelligence robot applications. The price is about 600 yuan.

Kittenbot AI robot development kit: Equipped with Arduino development board, with robot chassis and AI expansion board, it is suitable for artificial intelligence robot applications for education and makers. The price is about 500 yuan.

AlphaBot AI robot kit: Equipped with Arduino development board, with AlphaBot chassis and AI expansion board, it is suitable for multi-functional artificial intelligence robot applications. The price is about 500 yuan.

Seeed Studio Grove AI robot kit: Equipped with Arduino development board, Grove sensor and AI expansion board, it is suitable for quickly building artificial intelligence robot applications. The price is about 500 yuan.

Cytron Maker Pi AI robot kit: Equipped with Raspberry Pi development board, with robot chassis and AI expansion board, it is suitable for artificial intelligence robot applications for education and makers. The price is about 500 yuan.

SunFounder PiCar AI robot kit: Equipped with Raspberry Pi development board, with PiCar chassis and AI expansion board, it is suitable for intelligent car robot applications. The price is about 500 yuan.

Keyestudio DIY AI robot kit: Equipped with Arduino development board, with robot chassis and AI expansion board, it is suitable for DIY artificial intelligence robot applications. The price is about 500 yuan.

ELEGOO Smart Robot Car Kit V4.0: Equipped with an Arduino development board, combined with a robot chassis and an AI expansion board, it is suitable for smart car robot applications. The price is about 400 yuan.

DFROBOT Boson AI robot kit: Equipped with Micro:bit development board, with Boson module and AI expansion board, it is suitable for artificial intelligence robot applications for education and makers. The price is about 500 yuan.

OSOYOO AI robot kit: Equipped with Arduino development board, with robot chassis and AI expansion board, it is suitable for artificial intelligence robot applications for education and makers. The price is about 500 yuan.

Makeblock mBot AI robot kit: Equipped with Arduino development board, with mBot robot chassis and AI expansion board, it is suitable for artificial intelligence robot applications for education and makers. The price is about 500 yuan.

SunFounder PiSloth AI robot kit: Equipped with Raspberry Pi development board, combined with robot chassis and AI expansion board, it is suitable for multi-functional artificial intelligence robot applications. The price is about 500 yuan.

C-Home AI robot kit: Equipped with Raspberry Pi development board, combined with robot chassis and AI expansion board, it is suitable for multi-functional artificial intelligence robot applications. The price is about 600 yuan.

SmartFly Firefly-RK3399 AI robot kit: Equipped with Rockchip RK3399 chip, combined with robot chassis and AI expansion board, it is suitable for high-performance artificial intelligence robot applications. The price is about 600 yuan.

8. Chip development board companies and products

NVIDIA：

Jetson Nano Developer Kit: Equipped with NVIDIA's Jetson Nano chip, it is suitable for edge computing and artificial intelligence applications.
Raspberry Pi:

Raspberry Pi 4 Model B: Equipped with Broadcom's BCM2711 chip, it is suitable for various computer projects and learning.
Arduino:

Arduino UNO R3: Based on Atmel's ATmega328P chip, suitable for various IoT and electronics projects.
Intel:

Intel NUC: Intel-powered processors for small high-performance computing and embedded applications.
Qualcomm:

DragonBoard 410c: Equipped with Qualcomm Snapdragon 410 chip, suitable for IoT and embedded applications.
Texas Instruments:

TI MSP-EXP430G2 LaunchPad: Based on TI's MSP430 series chips, suitable for low-power applications and embedded system development.
Xilinx:

Xilinx Zynq-7000 development board: Equipped with Xilinx's Zynq-7000 series chips, combined with FPGA and ARM processors, it is suitable for high-performance computing and embedded applications.
Microchip Technology:

PIC32MX Development Board: Based on Microchip's PIC32MX family of chips for embedded control and IoT applications.
STMicroelectronics:

STM32 Nucleo development board: Equipped with STMicroelectronics' STM32 series chips, it is suitable for embedded control and Internet of Things applications.
NXP Semiconductors:

NXP i.MX RT1060 EVK: Featuring NXP's i.MX RT1060 chip for embedded applications and IoT devices.
Cypress Semiconductor:

Cypress PSoC 6 BLE Pioneer Kit: Featuring Cypress' PSoC 6 chip for IoT and embedded applications.
Silicon Labs:

Silicon Labs EFM32 Development Board: Equipped with Silicon Labs' EFM32 series chips, it is suitable for low-power applications and IoT devices.
Analog Devices:

Analog Devices ADSP-BF548 EZ-KIT Lite: Equipped with Analog Devices' ADSP-BF548 chip, it is suitable for digital signal processing and embedded control applications.
Maxim Integrated:

Maxim Integrated MAX32660 EV Kit: Features Maxim Integrated's MAX32660 chip for IoT and embedded applications.
Renesas Electronics：

Renesas RZ/A1H development キット: Equipped with Renesas' RZ/A1H chip, it is suitable for embedded control and human-machine interface applications.

Espressif Systems:

ESP32 Development Board: Based on the ESP32 chip from Espressif Systems, it is suitable for IoT, wireless communication and embedded applications.
Seeed Studio:

Seeeduino Series: A series of Arduino compatible development boards launched by Seeed Studio, suitable for various IoT and electronics projects.
Particle:

Particle Argon: Particle-based Argon module for IoT applications and cloud connectivity.
Onion:

Onion Omega2+: Onion-based Omega2+ development board for IoT and embedded applications.
Pycom:

Pycom LoPy4: Pycom-based LoPy4 development board for IoT and low-power communication applications.
Marvell:

Marvell ESPRESSOBin: Equipped with Marvell's Armada 3700 chip, it is suitable for embedded network and IoT applications.
Nordic Semiconductor:

Nordic nRF52 development board: Equipped with Nordic Semiconductor's nRF52 series chips, it is suitable for low-power wireless communication and Internet of Things applications.
Realtek:

Realtek Ameba Development Board: Equipped with Realtek's Ameba series chips, it is suitable for IoT and embedded applications.
Synopsys:

Synopsys ARC EM Starter Kit: equipped with Synopsys' ARC EM series chips for embedded control and IoT applications.
MediaTek Labs:

MediaTek LinkIt Series: A series of development boards launched by MediaTek Labs for IoT and smart device applications.
VIA Technologies:

VIA VAB-600 Development Board: Features chips from VIA Technologies for embedded computing and IoT applications.
SiFive:

SiFive HiFive1 Development Board: Based on SiFive's RISC-V architecture, it is suitable for embedded development and custom processor design.
SiLabs:

SiLabs Thunderboard Development Board: Features SiLabs chips for IoT, sensor and wireless communication applications.
Toshiba:

Toshiba TMPM series development board: Equipped with Toshiba's TMPM series chips, it is suitable for embedded control and industrial automation applications.
NXP Semiconductors:

NXP i.MX series development board: Equipped with NXP's i.MX series chips, it is suitable for embedded control and Internet of Things applications.

Cypress Semiconductor:

Cypress PSoC 6 Development Board: Equipped with Cypress' PSoC 6 series of chips, it is suitable for IoT and embedded applications.
Maxim Integrated:

Maxim Integrated MAX32660 EV Kit: Features Maxim Integrated's MAX32660 chip for IoT and embedded applications.
Renesas Electronics:

Renesas RZ/A1H Development Board: Equipped with Renesas' RZ/A1H chip, it is suitable for embedded control and human-machine interface applications.
Microchip Technology:

Microchip PIC32MX Development Board: Equipped with Microchip's PIC32MX series chips, it is suitable for embedded control and Internet of Things applications.
Silicon Labs:

Silicon Labs EFM32 Development Board: Equipped with Silicon Labs' EFM32 series chips, it is suitable for low-power applications and IoT devices.
Analog Devices:

Analog Devices ADSP-BF548 EZ-KIT Lite: Equipped with Analog Devices' ADSP-BF548 chip, it is suitable for digital signal processing and embedded control applications.
NXP Semiconductors:

NXP LPC series development board: Equipped with NXP's LPC series chips, it is suitable for embedded control and Internet of Things applications.
Xilinx:

Xilinx Artix-7 development board: Equipped with Xilinx Artix-7 series FPGA chips, suitable for high-performance computing and embedded applications.
Altera (Intel):

Altera Cyclone series development board: Equipped with Altera's Cyclone series FPGA chips, it is suitable for digital logic design and embedded control applications.
STMicroelectronics:

STMicroelectronics STM32 Development Board: Equipped with STMicroelectronics' STM32 series chips, it is suitable for embedded control and Internet of Things applications.
Infineon Technologies:

Infineon XMC Development Board: Equipped with Infineon's XMC series chips, it is suitable for embedded control and IoT applications.
Nordic Semiconductor:

Nordic Semiconductor nRF52 Development Board: Equipped with Nordic Semiconductor's nRF52 series chips, it is suitable for low-power wireless communication and Internet of Things applications.
MediaTek Labs:

MediaTek LinkIt Series Development Boards: A series of development boards launched by MediaTek Labs for IoT and smart device applications.
Intel:

Intel Edison Development Board: Equipped with Intel's Edison module, it is suitable for IoT and embedded applications.
Arduino:

Arduino Mega 2560 Development Board: Based on Atmel's ATmega2560 chip, it is suitable for various IoT and electronics projects.

9. Artificial intelligence robot chip development board supporting C language and python programming

The following are the recommendations of domestic artificial intelligence robot chip development boards. These development boards support programming languages ​​such as C language and Python, and are suitable for the development of artificial intelligence robots:

RoboMaster S1 AI robot development board: launched by DJI, supports C language and Python programming, suitable for artificial intelligence robot competition and learning.

DFRobot HuskyLens AI robot development kit: equipped with HuskyLens AI vision module and Arduino development board, supports C language and Python programming, and is suitable for artificial intelligence robot applications of visual navigation.

SainSmart JetRacer AI robot kit: equipped with NVIDIA Jetson Nano development board, supports C language and Python programming, suitable for intelligent racing robot applications.

LattePanda Delta AI robot development board: equipped with Intel Cherry Trail Z8350 chip, supports C language and Python programming, suitable for artificial intelligence robot applications.

Kittenbot AI robot development kit: Equipped with Arduino development board, supports C language and Python programming, suitable for artificial intelligence robot applications for education and makers.

Elecrow CrowPi AI robot kit: equipped with Raspberry Pi development board, supports C language and Python programming, suitable for multi-functional artificial intelligence robot applications.

C-Home AI robot kit: equipped with Raspberry Pi development board, supports C language and Python programming, suitable for multi-functional artificial intelligence robot applications.

DJI RoboMaster AI robot development board: Launched by Dajiang Innovation, it supports C language and Python programming, and is suitable for robot and artificial intelligence applications.

EAI AI robot development board: equipped with EAI's own AI chip, supports C language and Python programming, and is suitable for artificial intelligence robots and edge computing applications.

SmartFly Firefly-RK3399 AI robot kit: equipped with Rockchip RK3399 chip, supports C language and Python programming, suitable for high-performance artificial intelligence robot applications.

RoboSens AI robot development board: equipped with RoboSens' own AI chip, supports C language and Python programming, suitable for artificial intelligence robots and edge computing applications.

Snips Voice AI robot kit: equipped with Raspberry Pi development board, supports C language and Python programming, suitable for voice-controlled artificial intelligence robot applications.

LattePanda Alpha AI robot development board: equipped with Intel Core m3 chip, supports C language and Python programming, suitable for high-performance artificial intelligence robot applications.

Adeept RaspTank AI robot kit: equipped with Raspberry Pi development board, supports C language and Python programming, suitable for intelligent tank robot applications.

OpenCat robot kit: equipped with Raspberry Pi development board, supports C language and Python programming, suitable for robot control and artificial intelligence applications.

Geekworm JetBot AI robot kit: equipped with NVIDIA Jetson Nano development board, supports C language and Python programming, suitable for intelligent robot applications.

Arducam AI robot development kit: equipped with Raspberry Pi development board, supports C language and Python programming, suitable for artificial intelligence robot applications.

Hiwonder AI robot development board: equipped with its own AI chip, supports C language and Python programming, suitable for artificial intelligence robots and educational applications.

M5Stack AI robot kit: equipped with ESP32 development board, supports C language and Python programming, suitable for Internet of Things and artificial intelligence applications.

Makeblock mBot AI robot kit: Equipped with Arduino development board, supports C language and Python programming, and is suitable for artificial intelligence robot applications for education and makers.

SunFounder PiSloth AI robot kit: equipped with Raspberry Pi development board, supports C language and Python programming, suitable for multi-functional artificial intelligence robot applications.

Dobot Magician AI robot kit: equipped with its own AI chip, supports C language and Python programming, and is suitable for artificial intelligence robot applications in the fields of education and research.

Smraza AI robot kit: Equipped with Arduino development board, supports C language and Python programming, suitable for artificial intelligence robot applications for education and makers.

Seeed Studio Grove AI robot kit: equipped with Arduino development board, supports C language and Python programming, suitable for quickly building artificial intelligence robot applications.

Robotis TurtleBot3 AI robot kit: equipped with Raspberry Pi development board, supports C language and Python programming, suitable for artificial intelligence robot applications in education and research fields.

FriendlyARM FriendlyELEC AI development board: equipped with RK3399 chip, supports C language and Python programming, suitable for high-performance artificial intelligence robot applications.

MIND Motion AI robot kit: equipped with RK3399 chip, supports C language and Python programming, suitable for multi-functional artificial intelligence robot applications.

Sipeed MAIX AI development board: equipped with MAIX series AI chips, supports C language and Python programming, suitable for low-power artificial intelligence robot applications.

T-Kernel AI robot development board: equipped with its own AI chip, supports C language and Python programming, suitable for artificial intelligence robots and educational applications.

DJI RoboMaster S1 AI Robot Kit: Launched by DJI, it supports C language and Python programming, suitable for robotics and artificial intelligence applications.

Aithinker AI robot development kit: equipped with ESP32 development board, supports C language and Python programming, suitable for Internet of Things and artificial intelligence applications.

Dobot AI robot development kit: equipped with its own AI chip, supports C language and Python programming, and is suitable for artificial intelligence robot applications in the fields of education and research.

LattePanda AI development board: equipped with Intel Cherry Trail Z8350 chip, supports C language and Python programming, suitable for artificial intelligence robot applications.

Husarion CORE2 AI robot kit: Equipped with CORE2 development board, supports C language and Python programming, suitable for artificial intelligence robot applications for education and makers.

Wayosense AI robot development kit: equipped with its own AI chip, supports C language and Python programming, and is suitable for artificial intelligence robot applications in the fields of education and research.

10. Artificial intelligence machine small chip development board supporting C language and python programming

The following are recommendations for several domestic small artificial intelligence chip development boards, which support C language and Python programming, and are in the price range between 400 and 600:

Kendryte K210 AI development board: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for embedded artificial intelligence applications.

Sipeed Maixduino AI development board: equipped with Sipeed's own AI chip, supports C language and Python programming, suitable for low-power artificial intelligence applications.

M5StickV AI camera development board: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for small artificial intelligence vision applications.

Seeed Studio Grove AI HAT for Edge Computing: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for edge computing and artificial intelligence applications.

Maixduino AI IoT development kit: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for IoT and artificial intelligence applications.

HuskyLens AI camera development kit: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for artificial intelligence vision applications.

UniHobby UHAI development board: equipped with its own AI chip, supports C language and Python programming, suitable for small artificial intelligence applications and Internet of Things devices.

Kittenbot AI camera development board: equipped with K210 chip, supports C language and Python programming, suitable for artificial intelligence vision applications.

EAI Pico AI development board: equipped with its own AI chip, supports C language and Python programming, suitable for small artificial intelligence applications and Internet of Things devices.

Yahboom AI camera development kit: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for artificial intelligence vision applications.

Wio Lite AI development board: equipped with K210 chip, supports C language and Python programming, suitable for small artificial intelligence applications and Internet of Things devices.

BrainCraft AI development board: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for artificial intelligence applications and machine learning.

Mini AI development board: equipped with its own AI chip, supports C language and Python programming, suitable for small artificial intelligence applications and Internet of Things devices.

LuoTong AI development board: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for artificial intelligence applications and machine learning.

BeiDou AI camera development board: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for artificial intelligence vision applications.

AI Thinker ESP-EYE AI development board: equipped with ESP32 chip, supports C language and Python programming, suitable for Internet of Things and small artificial intelligence applications.

YOLOv2 AI camera development board: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for real-time target detection and vision applications.

Makeblock Neuron AI development board: equipped with K210 chip, supports C language and Python programming, suitable for small artificial intelligence applications in maker and education fields.

Fireduino AI development board: equipped with Fireduino's own AI chip, supports C language and Python programming, suitable for Internet of Things and small artificial intelligence applications.

OpenMV Cam Plus AI camera development board: equipped with STM32H743 chip, supports C language and Python programming, suitable for computer vision and artificial intelligence applications.

Huajie AI camera development board: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for artificial intelligence vision applications.

Micropython AI development board: equipped with MicroPython environment and AI chip, supports C language and Python programming, suitable for Internet of Things and small artificial intelligence applications.

TinyML AI development board: equipped with its own AI chip, supports C language and Python programming, suitable for small machine learning and artificial intelligence applications.

ArduCam AI camera development board: equipped with ESP32 chip, supports C language and Python programming, suitable for vision and artificial intelligence applications.

AIdea AI development board: equipped with its own AI chip, supports C language and Python programming, suitable for small artificial intelligence applications and Internet of Things devices.

Sipeed Maix BiT AI development board: equipped with Sipeed's own AI chip, supports C language and MicroPython programming, suitable for embedded artificial intelligence applications.

K210 Waijung AI development board: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for Internet of Things and small artificial intelligence applications.

DFRobot HuskyLens AI camera development kit: equipped with HuskyLens AI vision module and Arduino development board, supports C language and Python programming, suitable for artificial intelligence vision applications.

Wio Terminal AI development board: equipped with SAMD51 chip, supports C language and Python programming, suitable for Internet of Things and small artificial intelligence applications.

TTGO T-Camera Plus AI camera development board: equipped with ESP32 chip, supports C language and MicroPython programming, suitable for Internet of Things and artificial intelligence vision applications.

ArduPy AI development board: equipped with its own AI chip, supports C language and Python programming, suitable for Internet of Things and small artificial intelligence applications.

Hiwonder AI camera development kit: equipped with Kendryte K210 chip, supports C language and Python programming, suitable for artificial intelligence vision applications.

UniHobby UH-3S AI development board: equipped with its own AI chip, supports C language and Python programming, suitable for Internet of Things and small artificial intelligence applications.

Waveshare AI camera development board: equipped with Sipeed MAIX module, supports C language and Python programming, suitable for artificial intelligence vision applications.

Banana Pi AI development board: equipped with Allwinner V831 chip, supports C language and Python programming, suitable for Internet of Things and small artificial intelligence applications.

reference

https://aim.baidu.com/product/4103b9a3-ff85-418c-8a97-1af3c7ae9857、
https://ic-item.jd.com/10027365566006.html

https://zhuanlan.zhihu.com/p/565033251