ADA38, AC601
Intelligent Pedestrian & Vehicle Detection System (UN ECE R159)
STONKAM Intelligent Pedestrian & Vehicle Detection System complies with the UN ECE R159 regulation on MOIS (Moving Off Information System). Utilizing advanced deep learning technology, it accurately detects pedestrians and cyclists in the vehicle’s forward blind spot and provides real-time alerts to the driver. This system enhances road safety by helping operators of large vehicles—such as trucks, buses, and construction vehicles—respond promptly to potential hazards.
Product Features
-
Designed to meet UN ECE R159 Moving Off Information System (MOIS) requirements, helping commercial vehicles improve moving-off safety while protecting vulnerable road users.
-
Advanced deep learning algorithms accurately identify pedestrians, cyclists, motorcycles, and vehicles, providing timely warnings to help reduce collision risks.
-
Supports AHD, CVBS, Fast Ethernet, RTSP, and ISO17215, allowing easy integration with vehicle displays, MDVRs, and existing monitoring systems.
Product Highlight
UN ECE R159 MOIS Certified AI Detection
STONKAM Intelligent Pedestrian & Vehicle Detection System (UN ECE R159) complies with UN ECE R159 MOIS requirements, using AI deep learning to detect pedestrians and vehicles in the forward blind spot and provide real-time visual and audio alerts.
Intelligent Pedestrian & Vehicle Recognition
STONKAM Intelligent HD Pedestrian Detection 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
STONKAM Intelligent HD Pedestrian Detection System 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.
Adjustable Lens for flexible installation
The lens angle can be flexibly adjusted according to the site and installation height for better views.The lens angle can be flexibly adjusted according to the site and installation height for better views.
Applications
STONKAM pedestrian detection system is applicable to various vehicles, such as buses, coaches, trucks, and other large-size vehicles.
Frequently asked questions
-
STONKAM developed this AI detection system to help commercial vehicles comply with UN ECE R159 MOIS while improving moving-off safety through intelligent pedestrian and vehicle detection.
-
UN ECE R159 specifies the requirements for Moving Off Information Systems (MOIS), which help drivers detect pedestrians and cyclists in the vehicle's front blind spot before moving off, reducing collisions with vulnerable road users.
-
The system uses AI deep learning to detect pedestrians, cyclists, electric bikes, motorcycles, and vehicles, providing real-time visual and audio warnings to assist the driver.
-
Yes. It supports AHD, CVBS, Fast Ethernet, RTSP, and ISO17215, allowing seamless integration with monitors, MDVRs, and other vehicle monitoring equipment.
-
Yes. The adjustable lens and flexible mounting design support horizontal or vertical installation, making the system suitable for different commercial vehicle configurations.
We look forward
to hearing from you!
to hearing from you!
Leave your contact info here and our team will get back to you soon.
With STONKAM you can：
- Comply with industry rules and regulations.
- Identify risks and automate driver coaching.
- Improve visibility and automate operations.
- IATF 16949:2016
- UN ECE R151
- UN ECE R156
- ISO 9001:2015
- UN ECE R158
- UN ECE R10
- ISO 26262:2018
- UN ECE R159
- UN ECE R118
- ISO/SAE 21434:2021
- UN ECE R46
- EU 2021/1341
- GB 15084-2022
- UN ECE R155
- EU 2023/2590
STONKAM® serves business customers only. Please use a company email and provide your country/region. Non-business inquiries may not be processed.
* indicates required
fields
-
Model No.
-
Name *
-
Company Name *
-
Company Website *
-
Country *
-
Email *
-
WhatsApp/Phone *
-
Message *
-
