Facial Feature Recognition

Facial Feature Recognition

Based on THE AI deep learning algorithm, the dynamic detection targets (such as duty personnel and public works personnel) were recognized with multi-dimensional face features, such as fatigue, activity, smoking, yawning, and phone call, and their working status was comprehensively evaluated.

Overview

Based on THE AI deep learning algorithm, the dynamic detection targets (such as duty personnel and public works personnel) were recognized with multi-dimensional face features, such as fatigue, activity, smoking, yawning, and phone call, and their working status was comprehensively evaluated.

Typical Uses

Parallel Facial Feature Recognition

Features

• Based on AI deep learning algorithm and edge computing

• AI algorithm on the edge promises real-time data processing

• Data center on the edge reduces latency and bandwidth use

• Multiple AI cameras cascaded by one edge computer; fast and multi-point deployment of vision systems