USPs
Deep Learning Technology with High-Speed Recognition
Higher Efficiency with Different Usage Scenarios
Multiple Deployment Modes
Features
DEPLOYMENT MODES
DEPLOYMENT
COSEC Device-based Face Recognition operates in server mode, allowing it to directly identify users from the identification server. Using advanced deep learning technology, it can accurately identify up to 1 million users in under 3 seconds, making it an ideal solution for organizations with large user bases, such as corporate, government, healthcare, and manufacturing units where prompt user identification is crucial.
DEPLOYMENT
COSEC MODE provides two distinct modes of operation for tablet-based Face Recognition. In standalone mode, up to 50,000 user face templates can be stored locally on the device, enabling fast and efficient identification of users in less than 1 second with 1:N matching. This mode is ideal for educational institutions, construction sites, and mobile locations with limited server connectivity.
In server mode, COSEC MODE offers even faster identification of up to 50,000 users directly from the server database in less than 2 seconds per user. This mode is well-suited for corporate offices, retail outlets, and other locations where connectivity is not an issue. With its seamless integration, advanced features, and ease of use, COSEC MODE is the perfect solution for organizations seeking an efficient and cost-effective attendance tracking system.
DEPLOYMENT
COSEC APTA utilizes GPS technology to accurately record and transmit the user’s location data, both within and outside the premises. This process involves capturing an image of the user at their current position, which is subsequently transmitted to the server. Notably, the communication channel between the mobile device and the server is secured through encryption, with the added flexibility of accommodating customer-owned certificates. The encryption employed is of a robust 24-bit standard, thereby guaranteeing a high level of security for the data transmission.