Reprinted from | Electronic Forest
I don’t know if you have noticed that AI applications have been used in every corner of our lives, such as: Siri, Xiaoai classmates, illegal capture, etc.
If you also want to engage in embedded development work, you must understand and master AI-related knowledge and technology.
You can improve your skills through the MAX78000 Design Competition (Season 2) ultra-low-power neural network MCU implementation of AI applications such as image recognition and speech recognition.
MAX78000 Design Competition (Season 2)
The MAX78000 Artificial Intelligence Design Competition is in full swing. Choose a theme of interest to design and debug. If you complete the project, you will not only receive a full refund for the development board, but also enter the competition for awards and strive to win the first prize of 1,000 yuan! The autumn weather is crisp, and it’s time to take out the skill tools at the bottom of the box and design an intelligent recognition project!
The official website of the competition (bookmark it in your browser to prevent it from being lost):
https://www.eetree.cn/page/analog-max78000-2/, there is also the official communication group of the competition, you can join it at the bottom of the article.
Message from Teacher Su
Competition introduction
The second season of the 2023 MAX78000 Artificial Intelligence Application Design Competition is sponsored by ADI and held by Electronic Forest. This time, a total of 120 sets of MAX78000FTHR boards are provided (there are only 40 sets left, no more hesitation!). There is no limit to the participants . Participants must Purchase the board first and get a full refund if you complete the task within the specified time. Excellent projects can receive an additional cash prize of 1,000 yuan.
Why choose MAX78000FTHR?
In the first season of the competition, we received many eye-catching works: AI Pokémon illustrations; cat identification feeders; bolt, nut and screw identification systems; face attendance machines...these works are very complete. , the participants completed the steps from initial understanding of the development board, project design concept, data training, project debugging, etc. In this process, they gained a lot! Such a powerful and playable development board is worth trying again to stimulate the potential of creators again!
Of course, the power of the MAX78000 itself is also the reason why we continue to choose it. As an ultra-low-power neural network microcontroller, it:
• Low energy consumption: Combining hardware-specific convolutional neural network accelerators with ultra-low-power ARM Cortex-M4F and RISC-V microcontrollers, compared to MCU+DSP solutions, edge AI customized hardware accelerators can Consumption is reduced by more than 99%.
• Low latency: Compared with pure MCU solutions, edge AI customized hardware accelerators have higher data throughput and can increase speed by more than 100 times.
• Low cost: The cost is much lower than FPGA and other solutions, slightly higher than MCU, but can handle more complex details.
• High integration: Integrated neural network accelerators and low-power microcontrollers make it possible to implement complex, real-time AI functions in battery-powered IoT devices.
Competition time
01 Purchase and participate
Just click " Place an order to purchase " on the competition homepage. Shipping will be arranged within one week of placing the order.
02 Competition Rules
Click on the " Contest Rules " on the competition homepage to get a detailed introduction
03 Live explanation
The competition arranges 3 live broadcasts to assist contestants in completing projects. Click on the " Live Broadcast Explanation " on the competition homepage to enter. Before the live broadcast, you will be notified in the communication group
04 Project training report
In order to urge participants to complete the project in a timely manner, training reports must be submitted to the Electronic Forest before November 15th.
05 Project deadline
Participants must complete the project and submit a project summary report before 24:00 on December 17
06 Project review & refund
After submitting the project, wait for the review results and refund. All projects will be summarized in the electronic forest display
Competition proposition
There are 5 major categories of questions in this competition. In addition to using the boards specified in the competition, you can use other peripheral modules by yourself. Contestants need to choose any one of the following five categories of questions to complete the task:
Place an order to buy
Click on the mini program above to purchase directly
Contest rewards
Completely submit the work to the Electronic Forest Project Platform and have it approved. In addition to getting a full refund of the purchase price, you can also win additional cash prizes:
1
ADI Special Award (1 person): 5,000 yuan bonus
2
First Prize (1 person): 5,000 yuan bonus
3
Second Prize (5 people): 2,000 yuan bonus
4
Third Prize (10 people): 1,000 yuan bonus
5
Active Participation Award (30 people): RP2040 game console
Note: The rewards can be cash or Jingdong card. If you choose cash return, your personal tax will be withheld by Hardhe. If you choose Jingdong card to return, you can handle it yourself when you get the Jingdong card.
Competition official communication group
The winner of the first season competition has joined the group, the open source information package has been delivered, and he is still available to answer questions from time to time! Are you a novice still worried about not being able to complete a project? Don’t worry, join the group chat to solve 80% of the problems!
Electronic Forest Message
This issue of the MAX78000 Artificial Intelligence Design Competition is long (three and a half months), with many successful project cases, broad design ideas, and quick troubleshooting responses. It would be a shame not to participate. After learning AI through MAX78000 in 2 months, you can also win a cash prize of 5,000 yuan. Why not? This issue only provides 120 sets of development boards, so smart friends may have already placed an order!
Looking forward to your participation!
END
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