Solution Architecture

The solution architecture includes four parts: vehicle-end monitoring equipment, an in-vehicle intelligent terminal, a driving-safety real-time monitoring and analysis platform, and driver abnormal-emotion detection.

1. Vehicle-end monitoring equipment includes a driving-behavior monitoring terminal (DSM) and a collision-warning terminal (ADAS). DSM monitors in real time abnormal behaviors such as smoking, drowsiness, and fatigue driving; ADAS monitors in real time abnormal lane changes, forward-collision prediction, and more. Once an anomaly is found, alarm information is promptly sent to the safety real-time monitoring and analysis platform.

2. The in-vehicle intelligent terminal integrates satellite positioning, in-vehicle video, driving recording, data transmission, and more, collects data from DSM and ADAS, and transmits it in real time to the data center via 4G.

3. The driving-safety real-time monitoring and analysis platform includes the following two functions:

• The safe-driving monitoring and warning platform receives data from the in-vehicle intelligent host and presents detailed information in real time;

• The driving-behavior big data analytics visualization platform statistically analyzes data transmitted by the in-vehicle intelligent host and result data from the driver abnormal-emotion recognition system, and intuitively presents results on large-screen devices to assist leadership decisions.

4. The driver abnormal-emotion recognition system periodically analyzes drivers’ emotions, identifies drivers with abnormal emotions (aggression, anxiety, depression, etc.), to assist targeted treatment and reduce traffic accidents caused by abnormal emotions.