Leveraging advanced AI deep learning algorithm and edge computing technology, our system evaluates the working status of the targets (e.g., duty personnel) through dynamic detection of multi-dimensional face features such as fatigue, activity level, smoking, yawning, and phone usage. Additionally, in kindergarten morning checks, children can be assessed through facial feature recognition of their skin, eyes, and mouth to evaluate their health status.

Overview

Leveraging advanced AI deep learning algorithm and edge computing technology, our system evaluates the working status of the targets (e.g., duty personnel) through dynamic detection of multi-dimensional face features such as fatigue, activity level, smoking, yawning, and phone usage. Additionally, in kindergarten morning checks, children can be assessed through facial feature recognition of their skin, eyes, and mouth to evaluate their health status.

Typical Uses

Features

• Advanced technology utilizes AI deep learning algorithm and edge computing
• AI algorithm on the edge allows real-time data processing
• Data center on the edge reduces latency and bandwidth use
• Multiple AI cameras cascaded by one edge computer; rapid deployment across and various monitoring points