OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubIn the printing and manufacturing sector, product quality directly influences brand reputation and production expenditures. Conventional manual quality control depends on human visual assessment, which is not only inefficient and susceptible to errors caused by fatigue but also inadequate for the real-time inspection requirements of high-speed production lines.
Therefore, printing enterprises urgently need to introduce automated inspection solutions based on AI machine vision and image recognition technology to accurately identify printing defects such as missing prints, colour deviations, blurring, and stains.
SingTown Technology has developed a printing defect detection system based on the embedded AI machine vision platform of the OpenMV smart camera. This system enables printing factories to achieve real-time quality monitoring and automated inspection, facilitating the intelligent upgrade of production processes.

The printing facility has implemented an AI-driven machine vision system for detecting printing defects, utilizing SingTown's OpenMV intelligent camera recognition technology. This advancement transitions from conventional manual inspection to intelligent detection. The system employs high-speed cameras to capture real-time images of printed products and automatically compares parameters including patterns, colours, and alignment precision through computer vision algorithms, precisely identifying defects such as missing prints, colour deviations, blurring, and stains.
Compared to manual inspection, AI visual inspection by SingTown is more stable, precise, and high-speed, significantly reducing errors and costs.
SingTown's OpenMV intelligent camera features embedded AI processing capabilities, enabling independent high-speed image recognition and judgment on the device without relying on external servers, meeting the real-time requirements of printing production lines. The system also supports automatic exposure and illumination compensation, allowing it to adapt to various workshop environments. Additionally, it can interface with assembly lines via signal ports to achieve automatic alarm triggering and defective product removal.
This solution has now been implemented in multiple printing factories, significantly enhancing detection accuracy and production efficiency, with the yield rate increasing by over 20%.
Empowered by SingTown Technology's OpenMV intelligent camera recognition technology, printing factories have truly achieved AI-driven and IoT-enabled machine vision inspection, thereby establishing an efficient, intelligent, and reliable printing quality management system.

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations
Automatically detects whether the doors of key locations remain 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” Is Here: An Automated Vending-Obstruction 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 alerts
Automatically identifies non-compliant placement locations of gas cylinders to proactively detect potential gas safety hazards.

Did you perform 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.

Utilize 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.