Face Recognition Technology&DMS Monitoring&Passenger Flow Statistics

Inside the Vehicle
Outside the Vehicle

Face Recognition Technology

The face recognition technology is to collect dynamic facial images of the driver; then convert the biological features of the driver such as face type, eye spacing, single or double eyelid into data features and perform intelligent analysis. The technology identifies the driver by comparing the data to the registered identity image features. If an unregistered identity is recognized, the system will trigger an alert and activate the recording function, which will effectively prevent the vehicle from being stolen and be used for subsequent investigation and evidence collection.

DMS Monitoring

Through multi-layer neural network technology, video image analysis technology, clustering and neural network algorithm, any abnormal driving behaviors (fatigue, distraction, smoking, calling, no mask) during driving can be accurately and real-time monitored, both visual and audio alarms will be actively offered to remind drivers to work properly and drive safely. This algorithm also support driver face detection and authentication, no driver status detection.

Automatic Passenger Counting

Based on a monocular camera,the automatic passenger counting function adopts deep learning technology to perform real-time identification and motion tracking of people in the images collected by the camera, so as to achieve high-accuracy passenger flow statistics. It also has the functions of camera monitoring and video recording while carrying out passenger flow statistics, which not only saves equipment costs and installation costs, but also brings convenience to subsequent equipment operation and maintenance.

Face Recognition Technology
DMS Monitoring
Automatic Passenger Counting

Forward Collision Warning (FCW) Technology

The forward collision warning technology can intelligently and accurately analyze the distance and relative speed between the vehicle and the preceding vehicle, estimate the potential risk of rear-end collision, and send warnings to the driver to avoid accidents.

Lane Departure Warning (LDW) Technology

The lane departure warning technology can precisely collect the lane information by processing and analyzing the video of driving. When the driver is detected to shift the lane without turning on the signal light, an alarm will be triggered immediately to prevent the possible traffic accidents caused by lane departure.

The Preceding Car Starting Reminder Technology

The preceding car starting reminder technology can intelligently detect the distance from the vehicle in front. Once the vehicle is detected to stay still while the vehicle ahead waiting for red lights or in a traffic jam has started, an alert will be sent to the driver.

Pedestrian Detection (PD) Technology

Pedestrian detection technology, which is a deep learning technology based on big data, can intelligently detect whether there are targets such as pedestrians and cyclists in front of the vehicle, meanwhile it could accurately analyze information such as the speed and distance between the vehicle and the target object. When a risk of collision is predicted, an alert will be triggered to avoid a collision.

Speed Sign Recognition (SSR) & Over speed Alarm Technology

Through the AI algorithm, the speed sign recognition technology can accurately recognize the road speed limit and analyze whether the vehicle is over speed in real time. When it is detected that the vehicle exceeds the limited speed, an alarm will be triggered immediately to prevent traffic violations or accidents.