BVS reflective clothing recognition system

Nowadays, the country is paying more and more attention to safety production. Various enterprises have also taken various measures to ensure the safe production of employees and thus protect the interests of enterprises. In all walks of life, there are dangerous jobs in which workers are not wearing reflective clothing and wearing safety helmets and related safety measures. Casualties caused by not wearing reflective clothing sometimes occur. Reflective clothing wear management has become a major difficulty. In order to reduce the difficulty of management and improve the safety awareness of on-the-job personnel, reflective clothing wear identification system can be deployed at various production sites. Real-time video detection and early warning workers are required to do safety precautions according to requirements. Realize the safe production and information management, to prevent the normal situation in the prevention of precautions, and to regulate the management afterwards.

Application of intelligent video analysis and deep learning neural network technology to realize real-time analysis, identification, tracking and alarming of personnel activities in the safe production areas of high-risk industries such as construction sites, petrochemicals, electric power, etc., and real-time analysis and early warning through video. Real-time warning of dangerous behaviors of undressed reflective clothing, save alarm screenshots and videos to the database to form a report, and push the alarm information to relevant management personnel, and query and record the alarm records and alarm screenshots and videos according to the time period.

The real-time video of video surveillance is used to identify and detect the reflective wear of the staff in real time. The dangerous behaviors worn by the unreflective clothing can be monitored and alerted in real time. The alarm video and screenshots can be displayed on the client, and the sound can be deployed on the spot. The speaker gives an alarm prompt. According to the user's needs, the alarm information can also be pushed to the relevant management personnel to assist the management personnel in safe production management.

The reflective clothing wear recognition system can store alarm screenshots and videos of dangerous behaviors without wearing reflective clothing in the server database, including time, place, alarm screenshots, alarm videos, etc. to form report information, which is convenient for personnel safety management.

Efficient alarm record quick query can query the behavior of undressed reflective clothing according to the time period and monitoring area, and display multiple records of the query in the form of reports. Each record has detailed alarm screenshots and videos.

Based on intelligent video analysis and deep learning technology, the recognition rate is high, the deployment is fast, and the operation is simple. Real-time monitoring and identification and early warning, in the real-time and accuracy rate in the domestic industry leading level. Strong compatibility, stable performance, integration with more industries, and more intelligent applications for the Internet of Things.

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