Identification Pass^®IDC7The 708T4 barrier type binocular face verification access control system is the terminal new product of Taishou Intelligent's 2019 face recognition verification system. Our company has independently developed it based on customer needs in the past two yearsIssued byThe new generation barrier type binocular facial recognition access control system. This product integrates on-site facial recognition, identity verification, blacklist warning and other functions into one. Read ID card informationGo to the site to collectCollecting facial photos, comparing them, and obtaining results, the entire process is automated without the need for additional peripheral hardware configuration, and the operation process does not require manual intervention. Collected information and comparisonThe results can be uploaded in real-timeTransfer to the big data collection platform or push to the on-site law enforcement client.

Suitable for office areas, hotels, internet cafes, office buildings, schools, shopping malls, shops, communities, public services, and management projects that require facial access control.

Product Features
Dynamic dual camera anti-counterfeiting, completely solving the deception of various photos on various carriers;
• Night time infrared and RGB dual fill light;
• Support external QR code scanners and ID card readers;
Supports RS232 serial port and Wiegand 26 output, with output content that supports configuration;
Adopting dynamic face detection and tracking recognition algorithms based on video streams;
• Support local storage of 10000 person database on devices, (a) cloud platform devices support simultaneous storage of 50000 facial photos (less than 400KB), 100
Ten thousand recognition records (0.45KB), 20000 on-site captured photos (b) LAN devices support simultaneous storage of 20000 facial photos
(Calculated based on 100KB of photos), 10000 identification records (including on-site captured photos);
When the face database is 3000 and the error rate is 0.03%, the recognition accuracy of 1:N is 99.7%;
• Fast recognition speed, (a) face tracking and detection takes about 20ms, (b) face feature extraction takes about 200ms, (c) activebodyFace detection comparison takes 0.6ms (1000 person database, average of multiple recognitions) and 0.8ms (10000 person database, average of multiple recognitions)flatMean);
• Support stranger detection, stranger level can be configured;
• Support saving on-site photos during facial recognition or stranger detection;
• Support deployment methods for both public and local networks;
• Support HTTP interface docking;
• Support screen display content configuration;
• Support distance recognition configuration.