OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubIn urban road or traffic model systems, traditional traffic light control methods typically employ fixed-time strategies, making it difficult to reflect real-time changes in road traffic flow.
When traffic is sparse in one direction while the other direction is severely congested, fixed-duration traffic signal control not only reduces traffic efficiency but also increases energy waste.
To achieve dynamic optimisation and intelligent control of traffic signals, the Intelligent Transportation System incorporates SingTown's OpenMV smart camera AI image recognition technology. Through AI neural network algorithms and machine vision analysis, it detects the number of vehicles and flow distribution on roads in real-time, dynamically adjusting signal durations based on the results, thereby enabling adaptive intelligent regulation of traffic flow.

Intelligent Transportation System employs SingTown Technology's OpenMV intelligent camera recognition technology to construct a vehicle detection and signal control system based on AI image recognition and neural network algorithms.
The camera is installed on one side of the road to capture real-time traffic images. The system uses computer vision algorithms to detect and count the number and direction of passing vehicles. Based on the detected traffic density, it automatically determines the priority of passage for each direction. The data is transmitted via a serial port to the microcontroller control unit to dynamically adjust the duration of traffic lights.
This system solution supports multiple vehicle recognition modes: traditional image detection methods (such as frame difference, color and shape recognition) or neural network models. The OpenMV smart camera features edge computing capabilities, enabling local algorithm execution and result output through on-device AI without requiring an external computer or cloud server, offering low recognition latency and rapid response.
Therefore, this solution can stably adapt to traffic flow variations, achieving adaptive traffic light control that "extends when traffic is heavy and shortens when traffic is light.
Through SingTown Technology's OpenMV intelligent camera AI image recognition technology, traffic signal control has advanced from fixed timing to AI visual dynamic regulation, providing a low-cost, high-reliability, edge-deployed intelligent dynamic management solution for smart city transportation.

AI Sentinel Based on OpenMV: Automatic Alert for Unattended Key Locations
Automatically detects whether the doors of key locations remain open for an extended period and issues timely alerts.

Personnel crossing boundary triggers an alert; OpenMV interprets the “sense of security boundary”
Detects personnel or equipment crossing virtual perimeter lines.

“AI Municipal Supervisor” is here—An automated encroachment detection system built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper Placement of Gas Cylinders? Use OpenMV to Automatically Trigger Hazard Warnings
Automatically identifies non-compliant placement of gas cylinders to proactively detect potential gas safety hazards.

Did you perform live-line work without wearing insulating gloves? OpenMV issues an immediate alert!
Automatically identifies whether personnel are wearing insulating gloves to assist in safe operations.

Utilises the OpenMV smart camera to detect surface defects on aluminium plates in real time
Online identification of defects such as scratches and dents on aluminium plate surfaces to support quality control.