PentaGate AI's facial recognition technology is a machine learning-based facial recognition technology that enables face matching with 99.98% of the workforce even from up, down, left, and right angles, and is processed at a speed of 0.5 seconds based on 1:N 10M.

Features such as clothing, color, pattern, and bag are extracted and identified from the human body. This is useful even when face recognition is difficult because it can recognize a specific person based on their physical characteristics even when the face is obscured or the angle is not right.

The PentaGate AI engine is compatible with all cameras that comply with the ONVIF protocol.

• General camera: Face recognition is performed by analyzing collected images from IR, RGB, thermal imaging cameras, etc. on the server.
• AI Camera: It is possible to analyze images and recognize objects (faces, bodies, etc.) in real time from an AI camera that complies with the ONVIF M-based protocol.

Abnormal behavior detection systems are used to identify and alert in real time to abnormal behavior in specific areas. Monitor object behavior to detect actions such as falls, violence, and intrusions, enabling immediate alerts.

Features such as clothing, color, pattern, and bag are extracted and identified from the human body. This is useful even when face recognition is difficult because it can recognize a specific person based on their physical characteristics even when the face is obscured or the angle is not right.

With an engine that allows you to select and intensively monitor or analyze specific areas from CCTV camera footage, you can increase system efficiency by processing or storing only specific areas of the entire video.