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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 experiences severe congestion, fixed-duration traffic signal control not only reduces traffic efficiency but also increases energy waste.
To achieve dynamic optimization and intelligent control of traffic signals, the intelligent transportation system incorporates SingTown Technology's OpenMV smart camera AI image recognition technology. Utilizing AI neural network algorithms and machine vision analysis, it detects the number of vehicles and flow distribution on roads in real-time. Based on the results, it dynamically adjusts traffic signal durations, thereby enabling adaptive and intelligent regulation of traffic flow.

The Intelligent Transportation System employs SingTown Technology's OpenMV intelligent camera recognition technology to establish 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 detects and counts the number and direction of passing vehicles using computer vision algorithms. 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, which dynamically adjusts the duration of the 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 the need for external computers or cloud servers, ensuring low recognition latency and rapid response.
Therefore, this solution can stably adapt to traffic flow changes, 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 Unsecured Key Locations
Automatically detects whether the door of a key location remains open for an extended period and issues timely alerts.

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

“AI Urban Management Officer” is Here: An Automatic Vendors-Encroaching-on-Pavement Recognition System Built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper Storage of Gas Cylinders? Use OpenMV to Automatically Trigger Hazard Warnings
Automatically identifies unauthorized placements of gas cylinders to proactively detect potential gas-related safety hazards.

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

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