 |
Blind spot monitoring algorithm is a monitoring system applied to commercial vehicles, which realizes the recognition and monitoring of pedestrians within the blind spot range of vehicles through deep learning object detection and tracking technology.
The system is mainly based on blind spot cameras installed in different positions of the vehicle for monitoring. These cameras can capture pedestrians directly in front of the vehicle and within the blind spot on the right, thereby achieving real-time monitoring of these areas.
The blind spot monitoring algorithm supports the detection of multiple objects, including pedestrians (including children), umbrellas, raincoats, strollers, cyclists, electric scooters, tricycles, etc. These objects can be accurately identified and monitored by the system, thereby helping drivers detect potential accident risks in a timely manner.
The target detection and tracking technology of this system is implemented based on deep learning algorithms. These algorithms can train models that can recognize different objects and track their movements. Through the application of these models, drivers can timely obtain pedestrian information in the blind area around the vehicle, thereby reducing the possibility of accidents.
In short, the blind spot monitoring algorithm is an advanced commercial vehicle monitoring system that can help drivers better understand the situation around the vehicle, timely detect potential accident risks, and improve driving safety.
Blind spot monitoring algorithm is a monitoring system applied to commercial vehicles, which realizes the recognition and monitoring of pedestrians within the blind spot range of vehicles through deep learning object detection and tracking technology.
The system is mainly based on blind spot cameras installed in different positions of the vehicle for monitoring. These cameras can capture pedestrians directly in front of the vehicle and within the blind spot on the right, thereby achieving real-time monitoring of these areas.
The blind spot monitoring algorithm supports the detection of multiple objects, including pedestrians (including children), umbrellas, raincoats, strollers, cyclists, electric scooters, tricycles, etc. These objects can be accurately identified and monitored by the system, thereby helping drivers detect potential accident risks in a timely manner.
The target detection and tracking technology of this system is implemented based on deep learning algorithms. These algorithms can train models that can recognize different objects and track their movements. Through the application of these models, drivers can timely obtain pedestrian information in the blind area around the vehicle, thereby reducing the possibility of accidents.
In short, the blind spot monitoring algorithm is an advanced commercial vehicle monitoring system that can help drivers better understand the situation around the vehicle, timely detect potential accident risks, and improve driving safety.
