If you feel drowsy, please stop and rest! SingTown Technology's AI Fatigue Driving Monitoring Solution: Low Power Consumption, Higher Accuracy

SingTown's intelligent camera system, based on OpenMV, can monitor the driver's eye status in real-time to achieve fatigue driving recognition. Utilising machine vision and image recognition technology, the system captures the driver's blink frequency and eye closure state. When prolonged eye closure or abnormal fatigue behaviour is detected, it promptly triggers alerts, providing intelligent protection for traffic safety.

Fatigue driving poses a significant risk to traffic safety. To address this, SingTown Technology has introduced an intelligent fatigue driving detection solution. Leveraging its OpenMV platform and AI smart cameras, combined with machine vision and computer vision technologies, the solution achieves precise monitoring of drivers' eye closure states, thereby preventing accidents.

The system employs cameras to capture facial images of the driver, with AI algorithms analysing the morphology, brightness, and closure of the eye area in real time to determine blink frequency and prolonged eye closure duration. Upon detecting abnormal eye closure or fatigue signals, the system can promptly trigger auditory, visual, or vibrational alerts to remind the driver to rest or refocus attention.

The OpenMV intelligent camera is characterised by low power consumption, compact size, and high frame rate. Its edge deployment advantage enables the system to be embedded in vehicle monitoring systems, cockpits, or assisted driving devices, facilitating all-weather real-time monitoring without dependence on cloud services. Detection remains unaffected even in instances of unstable or lost signals. The algorithm exhibits robustness against variations in lighting, glare from eyewear, or diverse facial angles, ensuring stable recognition in complex driving environments.

SingTown Technology, with a focus on edge AI, machine vision, and image recognition technologies, enables smart cameras to possess the capability of "real-time observation—state analysis—active alerting." It provides reliable and intelligent embedded visual detection solutions for automotive safety, fleet management, and smart driving, significantly enhancing road traffic safety and driver protection levels.