How does the seat belt camera recognize?
2 Answers
Electronic eyes (cameras) can capture drivers not wearing seat belts. Current cameras are very high-definition, with resolutions reaching decimeter levels. At a certain distance, they can not only capture the basic condition of the driver but also distinguish facial features. The details are as follows: 1. Capture: Electronic eyes can photograph drivers not wearing seat belts. "Electronic eye" is the common name for the "Intelligent Traffic Violation Monitoring and Recording Management System." Electronic eyes use vehicle inspection, photoelectric imaging, automatic adjustment, and network communication. 2. Processing: Utilizing various technologies such as computers, they monitor violations like running red lights, driving in the wrong direction, speeding, crossing lines, and illegal parking around the clock, capturing graphic and textual information of vehicle violations and processing them afterward based on the violation data. 3. Principle: Electronic eyes use induction lines to sense the pressure from vehicles on the road. The signals are collected by sensors and sent to the central processor, then temporarily stored in registers (this data is valid within one red light cycle).
The working principle of seat belt cameras is actually quite fascinating, and I've studied them for a while. These cameras are usually installed at intersections or near electronic monitoring devices, using high-definition lenses to capture images inside vehicles. The system first employs algorithms to identify facial positions, locking onto the shoulder area, then tracks a diagonally crossing band-shaped object—that's the core feature of a seat belt. If the seat belt isn't detected, or appears beneath the arm, it's flagged as unfastened. Newer systems can now distinguish between driver and passenger seats, incorporating light adjustment functions that can even handle nighttime window reflections. However, occasional misjudgments still occur with striped clothing or fur-collar coats, indicating areas where the technology still needs improvement.
