HPC169 Vehicle passenger occupancy detection system

The HPC169 occupancy detector uses a deep learning algorithm to accurately recognize the shape of the passenger's head in the car to count the actual number of passengers in the current car.

When the number of passengers in the car is greater than the rated volume, an alarm can be triggered, and the data can be viewed in real time through the cloud platform.

The HPC169 occupancy detector uses a 2.8 wide-angle lens, which can be installed above the rearview mirror to cover all seats except the driver's and co-pilot's seat.

Through the collection of real-time images, the number of passengers can be counted and added.

The HPC169 vehicle occupancy detector uses head recognition technology, supports recognition at any angle, and automatically overlays the target head(face) to protect personal privacy.

The passenger’s head only needs to be exposed more than 1/3, which can be effectively identified. In order to solve the passenger missed count caused by the passenger being blocked,

the HPC169 occupancy detector will be used after the door is closed until the door is opened again, and the detection can be completed immediately if the blocked passengers appear anytime.

Main technical specifications: