Self-Service Face Recognition Alcohol Detection Integrated Machine Work In Pre-Job
By analyzing the facial featuresof drivers, the time of driver’s exchange is detected, and the driver’s identity is indentified. When the cheat act of driver’s alcoholdetection occurred, the system will generate warning signals through a buzzer to notice the driver to take alcohol detection. The system detected the time of driver’s exchange effectively, and indentified different driver’s identity successfully, the accuracy rate of face database is 96.25 %, the accuracy rate of driver’s face database is 100.00 %. This system has been implemented on low-cost and it can be installed efficiently on varied kind of vehicles. The study will be implemented on the vehicle to verify the reliability of the technology in the future.
|face recognition||Combined with high-performance hardware, it is possible to realize Face base library of more than 50000 for fast recognition|
|Liveness detection||RGB+IRB inocular wide dynamic hardware, combined with China top AI Algorithms that reject fake attacks|
|Human body induction||Combine TOF Human body induction sensor, which can realize human body detection|
|interactive prompt||Provides programmable control red, white, green three color prompts|
|Alcohol testing||Provide electrochemical alcohol detection module, fast response and accurate test, to meet the application of different scenarios|
|Body temperature detection||The world's leading infrared temperature measurement module, resolution32*32, Accuracy﹢0.3°C|
|access control communication||Provide standard access control interface|
1. The alcohol sensor is packaged independently for easy replacement;
2. Adopt high-performance and reliable electrochemical (fuel cell) sensor;
3, Adopt compact gas circuit design and high-precision sampling system to ensure fast and stable measurement;
4, Non-contact blowing detection, easy to use, fast detection speed, results in 1 second;
5,Ensure hygienic use, disinfect and sterilize the blowing detection part to avoid cross-infection.
6, Support employee card, face identification and comparison, snapshot of facial images when blowing air, secondary comparison of face photos to identify anti-cheating and substitute inspections, attendance check-in, data report export, etc.;
7, abnormal data such as drinking, online notification of drunk status, real-time push.
8, Support the push of safety instructions according to the information of each fleet, pre-job safety education, attendance check-in and check-out management.
9. License plate information entry, management, and one-to-one binding with the driver;
10. Supporting independent background management software applications to view data in real time;