Side View:

Rear view:

Construction machineries have numerous blind spots and pose significant safety risks during operation

Due to their unique body structure, drivers have limited visibility, making it easy to overlook pedestrians or vehicles in blind spots. Combined with interfering factors such as frequent turning, insufficient lighting, and dusty conditions, the risk of collisions increases significantly, and safety hazards cannot be overlooked. 

Pedestrian & vehicle detection, intelligent driving assistance

STONKAM AI-Powered Heavy Equipment Camera System with Pedestrian & Vehicle Recognition utilizes deep learning technology to deliver intelligent and highly accurate detection. Capable of identifying various types of pedestrians and vehicles around construction machinery - including excavators, loaders, and mining trucks - such as cyclists, e-bike riders, and pedestrians, it provides safe and intelligent driving assistance to operators.

5MP High-Definition Precision Detection

STONKAM High-Definition Intelligent Pedestrian Detection System & Blind Spot Monitoring System support 5 megapixels high definition, capturing finer image details with higher detection accuracy and reliability. The image processing capability and machine learning performance are superior, greatly improving driving assistance capabilities for vehicle safety.

Large Viewing Angle and wider driving field of view

150 ° rear viewing angle for blind spot monitoring, side &front camera detection distance up to 30 meters. STONKAM 1080P Intelligent Pedestrian & Vehicle Detecting and Warning Camera for Vehicle Use can be installed horizontally and vertically to detect pedestrians in all directions. It provides automatic alarming information to drivers (1080P video output, pedestrian alarming frame), reducing the risks of traffic accidents. Color night vision,functioning well under any light condition.

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/CVBS/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

Compatible with DMS cameras to monitor abnormal driving behaviors in real time.

With visual imaging and deep learning technologies, Stonkam driver status monitoring system can collect driver's facial identity, head gesture and facial features and detect driver's status based on of aberrant driving behavior detection model calculation. If any abnormal driving behavior (e.g. fatigue, distraction, smoking, making phone calls, no seat belt, no driver)occur, an audible and visual alarm will be issued.

Application

STONKAM AI-Powered Heavy Equipment Camera System with Pedestrian & Vehicle Recognition utilizes AI deep learning technology to intelligently identify pedestrians, bicycles, and vehicles in the vehicle's side-front, side, and rear areas in real-time. It provides blind spot video monitoring solutions for various heavy equipment such as excavators and loaders. The system can also be integrated with a DMS driver monitoring camera to monitor driver's non-standard driving behaviors in real-time and issue immediate audio-visual alerts.