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GithubAng SingTown na matalinong sistema ng kamera, na nakabatay sa OpenMV, ay maaaring subaybayan ang kalagayan ng mata ng drayber sa real-time upang makamit ang pagkilala sa pagkapagod sa pagmamaneho. Gamit ang teknolohiya ng machine vision at pagkilala ng imahe, kinukuha ng sistema ang dalas ng pagkurap at estado ng pagsasara ng mata ng drayber. Kapag natukoy ang matagal na pagsasara ng mata o abnormal na pag-uugaling pagkapagod, agad itong nagpapalabas ng mga alerto, na nagbibigay ng matalinong proteksyon para sa kaligtasan sa trapiko.

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 utilizes cameras to capture facial images of the driver, with AI algorithms analyzing 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 immediately trigger auditory, visual, or vibrational alerts to remind the driver to rest or refocus attention.
The OpenMV intelligent camera features low power consumption, compact size, and high frame rate. Its edge deployment advantage allows the system to be embedded in vehicle monitoring systems, cockpits, or assisted driving devices, enabling all-weather real-time monitoring without reliance on cloud services. Detection remains unaffected even in cases of unstable or lost signals. The algorithm demonstrates robustness against variations in lighting, glare from glasses, or different 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.

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations
Automatically detects whether the door of a key location has remained open for an extended period and promptly issues an alert.

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

“AI City Management” is Here: An Automated Vending-Obstruction Detection 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 gas-related safety hazards.

Performing live-line work without wearing insulating gloves? OpenMV will immediately issue an alert!
Automatically identifies whether personnel are wearing insulating gloves to assist in safe operations.

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