Multi-lane Departure Warning System

It is realized through cameras, controllers and sensors. The cameras capture the marking lines of the driving lane, and through image processing, the position parameters of the car in the current lane are obtained. When it is detected that the car deviates from the lane, the sensors will promptly collect vehicle data and the driver's operation status, and the controller will issue an alarm signal.

Collision Warning System

By using the camera, the system can constantly monitor the vehicles in front and behind, determining the distance, position and relative speed between the vehicle and the ones ahead and behind. When there is a potential collision risk, it will warn the driver.

Pedestrian Collision Warning System

By using image recognition and face recognition algorithms, the state of pedestrians is judged. The distance, orientation and relative speed between the vehicle and pedestrians are monitored. When there is a potential collision risk, a warning is given to the driver.

Fatigue Monitoring System

Using cameras, the facial features of the driver can be obtained in a non-contact manner. An artificial intelligence program analyzes the driving behavior. Based on the driver's facial features, eye signals, head movements, etc., the fatigue state of the driver can be inferred, and active or passive reminder methods can be adopted.

Blind Spot Monitoring

By using advanced technology, the system can detect whether there are any vehicles approaching from the adjacent lanes and whether there are any vehicles in the blind spots of the rearview mirrors. When a vehicle approaches or there is a vehicle in the blind area, the monitoring system will alert the driver through sounds, lights, etc.

Autobrake System

The ADAS front camera captures obstacles ahead of the vehicle during driving. The millimeter-wave radar is used to measure the distance and speed of the obstacles. When the system determines that there is a collision risk and fails to alert the driver, it will take automatic braking measures to prevent the collision from occurring and reduce the accident damage.

Road Sign Decoding

Through the front-facing camera, real-time detection of traffic signs on the road ahead is carried out to alert the driver of the current traffic information on the road.

Detection Of Abnormal
Driving Behaviors

When the driver engages in behaviors such as making phone calls, looking around, smoking, or faceless detection while driving, the system will issue a voice warning to the driver to ensure safe driving and prevent accidents from occurring.

Mobile License Plate Recognition

By using technologies such as license plate extraction, image preprocessing, feature extraction, and license plate character recognition, the information such as vehicle license plate numbers and colors in motion can be identified.