Using SingTown's machine vision solutions to deploy the 'eyes and brain' of intelligent transportation at low cost.

In urban road or traffic model systems, traditional traffic light control methods typically employ fixed-time strategies, which struggle 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 intelligent 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, and dynamically adjusts traffic signal durations based on the results, thereby enabling adaptive intelligent regulation of traffic flow.

The Intelligent Transportation System utilises 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 flow images. The system employs 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, which dynamically adjusts the duration of traffic lights.

This system solution supports multiple vehicle recognition modes: traditional image detection methods (such as frame difference, colour and shape recognition) or neural network models. The OpenMV intelligent camera possesses edge computing capabilities, enabling it to run algorithms locally via on-device AI and output results directly, without the need for external computers or cloud servers, thereby achieving 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 progressed from fixed timing to AI visual dynamic regulation, providing a low-cost, high-reliability, edge-deployed intelligent dynamic management solution for smart city traffic.