Blind Spot Detection

The multi-point blind spot monitoring system detects vehicles, moving persons, and motorcycles in the blind zone. When a vehicle approaches or an obstacle appears in a blind zone. the system reminds the driver to pay attention to the blind zone through sound and images and triggers the sound and light alarm at the same time to warn the relevant personnel to stay away from the vehicle to avoid tragedies due to the blind spots.

Rearview: In the rear

Through the lens installed at the back of the vehicle, the monitoring range for the rear of the vehicle is enlarged to assist the driver in preventing blind spot accidents.

Overlook view: In front

Through the overhead lens installed in the front of the vehicle, the monitoring range for the front of the vehicle is enlarged to assist the driver in preventing the blind spot accident.

Rear forward-view:right side

Installed the rear forward-view lens on the rear right side of the vehicle to enlarge the monitoring blind-spot range which would assist the driver to prevent the blind-spot accidents. 

Rear forward-view:left side

Installed the rear forward-view lens on the rear left side of the vehicle to enlarge the monitoring blind-spot range which would assist the driver to prevent blind-spot accidents. 

Front lookdown -view:right side

Installed the front lookdown-view lens on the front left side of the vehicle to enlarge the monitoring blind-spot range which would assist the driver to prevent blind-spot accidents.

Front lookdown-view:left side

Installed the front lookdown-view lens on the front left side of the vechile to enlarge the monitoring blind-spot range which would assist the driver to prevent the blind-spot accidents.

SERVICE ADVANTAGES

Deep-digging in Innovative Technology to Explore Upgraded Services.

Based on deep learning algorithms to creat a professional backbone network with continuouse innovative capabiities in our core technologies.
Realized the closed loop of feedback between data and model, and the continuouse optimize the model training effect by enriching the data.
Through the highly quantified and highly compressed models, the configuration conditions of the hardware platform are reduced while satisfying high performance.
Successfully obtained a number of artificial intelligence related patens and sofrware copyrights.
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