The AI Image Anti-collision System for Engineering Vehicles of the HogDeer Series

The HogDeer-I series
is an AI image anti-collision system specifically designed for engineering equipment such as industrial vehicles.
It can detect the dangerous status of the working area in real - time and control the vehicle,
thereby further enhancing the safety of engineering vehicle operations.
The functions of this system are mainly achieved through three independent cameras,
combined with deep - learning algorithms to complete machine - vision recognition tasks.
The three cameras are installed at the rear, left - rear, and right - rear of the vehicle respectively.
They can provide personnel detection even in environments with poor lighting,
and also have the function of a driving recorder.By identifying pedestrian features and judging distances,
the system can flexibly adjust two levels of alarm areas.
It can not only alert passers - by and remind the driver to slow down,
but also control the vehicle's throttle to limit the speed or stop the vehicle when a person enters the danger zone.
The core advantages include:
Real - time AI detection:

Three 120° ultra - wide - angle cameras cover the 360° blind spot behind the vehicle.
They can accurately identify obstacles such as pedestrians,
forklifts, traffic cones, and fire hydrants (recognition rate ≥ 99%).
The warning distance and behavior for each type of obstacle can be adjusted and configured.
Hierarchical intelligent control:

Warning zone (within 3 meters):
An audible and visual alarm (90dB) is triggered, and the screen turns red to remind the driver to slow down.
Danger zone (within 2 meters):
The power door is automatically cut off for 3 seconds (forced deceleration).
Drving recording and data backtracking:

With 128G of large - capacity storage,
it supports 24 - hour loop recording and automatically starts recording when the vehicle is turned on.
The liability for an accident can be traced with a single click.
For the 4G version, data is automatically uploaded to the cloud.