Why apply AI artificial intelligence technology?
AI artificial intelligence has been implemented in a large number of security video surveillance projects in China. In the security monitoring industry, the use of AI video structuring technology based on video content information processing and network sharing applications realizes the intelligence of monitoring video information, and the intelligence and grid of video monitoring networks. Artificial intelligence technology can make up for the shortcomings of humans. Image analysis and processing technology based on computer vision can detect and identify important details and potential dangers in the video, and issue an alarm.
Intelligent hardware devices based on AI edge computing
TSINGSEE Qingxi video intelligent analysis gateway (V1/V2 version) takes AI video intelligent identification and analysis capabilities as the core, through intelligent identification and analysis of surveillance video, it can provide identification of faces, human bodies, vehicles, fireworks, objects, behaviors, etc. , Snapshot, comparison, alarm and other services, conduct accurate research and judgment on abnormalities and violations in the scene, and assist in decision-making, etc., to meet users' needs for data perception, intelligent detection, intelligent analysis, and intelligent alarm based on video services.
What algorithms does the AI intelligent analysis gateway have?
The V1 version currently has an algorithm:
The V2 version currently has an algorithm:
Application Scenario
1) General security: It is suitable for security management scenarios in communities, buildings, enterprise parks and other places, such as: personnel entry and exit, vehicle entry and exit, perimeter protection, dangerous area intrusion, suspicious wandering, etc., to improve the safety management level of the place.
2) Bright kitchen and bright stove: based on a variety of algorithms (cook hat/cook clothes recognition, smoking recognition, mobile phone recognition, trash can uncovered detection, fire and people detection, stranger detection, cat/dog/mouse recognition, etc.) , can effectively monitor whether there are violations or abnormalities in the food safety, environmental sanitation, and four-harm prevention and control of the back kitchen of the catering industry, and can send out alarm information in real time.
3) Forest fire prevention: Real-time risk monitoring and pyrotechnic identification analysis can be performed on images, videos and other data collected by front-end equipment. According to the characteristics of fire smoke and flames, smoke, flames, and fire points can be accurately identified, and an alarm can be triggered immediately.
4) Smart Safety Supervision: Applicable to enterprise safety production supervision scenarios, such as: construction sites, coal mines, hazardous chemicals, gas stations, fireworks, electric power and other industries, which help reduce safety hazards in the production process and ensure the safety of life and property.
5) Smart scenic spots: Applicable to scenic spots, parks and other scenes, it can count the flow of people within the monitoring range in real time, warn of crowding events, prevent people from entering dangerous areas, identify fireworks, etc., and help the intelligent supervision of scenic spots.
6) Smart Campus: It can be used in security monitoring scenarios inside and around the campus, including face access control for teachers and students, vehicle entry and exit, perimeter protection, overcoming fences, intrusion into dangerous areas, crowded people, abnormal gatherings, fireworks, etc.
7) Regional security monitoring: It is suitable for security monitoring scenarios in key places, such as: government agencies, military areas, airports, substations, industrial sites, detention centers, farm breeding, etc., to monitor perimeter intrusion, personnel intrusion, wandering and other events.
8) Unattended: It can be used in remote monitoring scenarios in the field, such as: water conservancy, electric power, etc., to prevent suspicious persons from approaching, personnel from destroying/stealing equipment, intruding into dangerous areas, etc., and can be linked to voice and other devices for driving away reminders.
9) On-duty and off-duty: It can be used in monitoring scenarios that require personnel to be on-duty all the time. It can detect the on-duty and off-duty status of personnel in fixed positions in real time. When the off-duty is detected, an alarm can be triggered immediately.
10) Gas station safety supervision: used for gas station safety supervision, focusing on monitoring areas such as refueling areas, oil unloading areas, and oil storage tanks, and can monitor safety risks in the area, such as: smoking, making phone calls, pyrotechnics, and electrostatic discharge Wait for an alarm reminder.
11) Public epidemic prevention: assist the development of epidemic prevention work in public areas, monitor whether people in the area wear masks in real time, and can send reminders in combination with voice devices, which can be applied to buildings, shopping malls, stations, buses, taxis, subways, squares, scenic spots, Factories, parks and other scenes.
EasyCVR and intelligent analysis gateway can turn video into more valuable information. Combining with big data and cloud computing technology, it can form a huge resource information library, providing powerful information support and auxiliary decision support for the construction of smart scenes. By integrating, processing, and distributing the information resources accessed by the front end, it helps build an intelligent platform for risk monitoring and early warning, and realizes a smart supervision model of rapid perception, real-time monitoring, early warning, and joint disposal.