Why do we need AI-Based Intelligent Pedestrian & Vehicle Monitoring System? 

Large vehicles are facing dangers caused by blind spots

Commercial vehicles like trucks, buses, etc. have large black zone, for which traffic accidents might happen if vehicles come across motorcycles at high speed or sudden pedestrians when changing lane or making a turn. 

Because forklifts and construction machines have huge blind spots,  the operation is always at high risk.
For one reason, the car bodies of forklifts and construction vehicles are quite peculiar, plus, they are operated in a complicated environment, and then there is the blind spot factor. The on-sight workers could  easily be hit by the machines and casue serious injuries and casualties.

Pedestrian & vehicle detection, intelligent driving assistance

STONKAM AI-Based Intelligent Pedestrian & Vehicle Monitoring System adopts deep learning technology, contributing to accurate pedestrian & vehicle detection. It can detect people around such as cyclists, motocyclists, and pedestrians to assist large vehicle drivers in safe driving, avoiding potential injuries to the vulnerables. 

Large Viewing Angle and wider driving field of view

With a wide-angle coverage of 125° and a detection range of up to 10 meters, it actively warms drivers with warning messages(HD video output with overlaid alarm logo frame). Recude the likelihood of traffic accidents and promptly warns drivers of potential risks to avoid collisions with pedestrians and vehicles.

Supporting audio alarm output and real-time warning

Detecting pedestrians and vehicles and sending  audio alarming to drivers at real time. On some vehicles, external alarm can be connected to the pedestrian & vehicle detection camera to realize the warning outside the vehicle, reminding pedestrians to avoid risk.

Compatible with central control screen, fit for multiple vehicle types

Support AHD/100M ethernet output and RTSP, ISO17215 and other network protocols, enabling  more convenient operation and management especially in engineering machinery. This device finds its application in various driving and operating scenarios, such as mine cars, forklifts, buses, trucks, etc., preventing pedestrian collisions.

IP69K, dustproof, shockproof, weatherproof and durable in use

Application

STONKAM AI-Based Intelligent Pedestrian & Vehicle Monitoring System adopts AI deep learning technology and can detect pedestrians, bicycles, equipment and vehicles within the detection area, for example,  side front, car side and the rear side and give audio alerts to drivers at the same time. This blind spot detection solution  is appliable for various vehicle types, such as trucks, buses, construction mechines, forklifts, etc.