As businesses face increasing security demands, the need for a reliable facial recognition solution has become critical. Many existing systems struggle with processing data from multiple cameras simultaneously, while accuracy and recognition speed remain concerns. These challenges can compromise security and lead to inefficiencies in managing access control and staff monitoring.
FACE ID is a cutting-edge facial recognition system designed to address these issues. Built to enhance business management and monitoring, FACE ID provides seamless multi-camera integration and superior accuracy in recognizing individuals across large areas, such as office buildings.
High-performance facial recognition algorithms were implemented in C++, with CUDA integration. We used OpenCV and some deep learning models to provide image and video processing for facial detection and feature extraction.
For real-time video analytics and streaming, we used DeepStream, GStreamer and WebRTC.
The application was built by Qt and Qml.
With FACE ID, businesses gain a powerful tool for improving security measures while reducing the need for manual monitoring. This system ensures accuracy and speed, making it easier for companies to manage their security and control access effectively.
