How to upgrade the traditional security system at low cost?

Monitor the core area in real time through the camera, and judge whether there is intrusion based on human body recognition technology; We can further combine face recognition to determine the identity information, define the white list face database in advance, and call the police when the intruder is not on the white list to avoid danger. The inconvenience and installation cost of the actual fence are solved.

Based on AI electronic fence technology, many applications can be developed. At present, the main applications are: helmet wearing compliance detection, stranger detection, fireworks detection, crowded crowd early warning, classroom centralized analysis, climbing detection, illegal parking analysis, off-duty detection, sleeping detection on duty and so on. Safety helmet wearing compliance inspection: for construction sites, factory workshops, industrial parks and other places. If it is detected that workers are not wearing helmets (including holding them in their hands), an alarm will be given to reduce potential safety hazards.

Stranger detection: deploy controls in parks, construction sites/factories, schools and other places, define the white list face database in advance, and give early warning to strangers who are not in the white list (those who cannot detect faces are also regarded as strangers) to strengthen environmental safety supervision.

Fireworks detection: in the construction site, factory workshop, catering kitchen, outdoor forest area and other scenes, monitor whether there are fireworks, call the police in time, and reduce personal and property safety losses.

Crowd pre-warning: Monitor the flow of people in airports, stations, exhibition halls, scenic spots and other public places in real time, give an alarm when the number exceeds the set upper limit, find out the abnormal crowd gathering in time, evacuate and divert reasonably, and avoid safety accidents.

Classroom concentration analysis: for kindergarten, K 12, online classroom and other educational scenes, based on face detection, attribute analysis and concentration estimation technology, monitor and analyze students' listening state, score each student's face concentration, and output the overall concentration score of the classroom.

Climbing detection: based on the electronic fence, the high-risk areas of buildings, construction sites, residential areas and other places are monitored in real time, and if climbing behavior is found, an alarm will be given in time to avoid safety accidents caused by abnormal climbing. Analysis of illegal parking of vehicles: based on the real-time monitoring of electronic fence, when illegal parking of vehicles is found, an alarm can be given, and the illegal parking time period can be customized (for example, continuous parking 1 minute is regarded as illegal parking to avoid accidental injury to passing vehicles); If the license plate is detected, the license plate information can be further identified.

Off-duty detection: judging whether employees are on duty based on human identification and electronic fence for scenes such as factory workshop and store front desk; Combined with human face, it can be further judged accurately. If someone is on the job but not in the employee's face database, it is also regarded as leaving the post.

Sleeping on duty detection: Facing the foreground, counter and other scenes (face detection is required), analyze whether human body and face can be detected at the same time for a continuous period of time, judge whether employees are sleeping on duty, and improve the efficiency of personnel management. You can customize the picture alert threshold. If no face is detected in 20 consecutive pictures, it is counted as sleeping.

Beijing Wushui Technology Co., Ltd. is a software service company for Internet of Things development, APP software development, AI identification and industrial testing. By integrating AI technology, cloud platform technology and big data technology, online picture annotation and training can be realized. At present, a large number of industrial vision data and AI model libraries have been accumulated and successfully applied to thousands of industrial segmentation scenes such as medicine, food, automobile and 3C, providing users with online defect detection, character recognition, size measurement, target positioning, data analysis and statistics.