OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubSingTown Technology's intelligent camera system based on OpenMV enables automatic detection and rejection of non-conforming products by assessing the regularity of high-speed product edges. Utilizing machine vision and image recognition technology, the system accurately analyzes multi-ring or morphological anomalies along product edges. It meets the demands of inspecting products moving at speeds of up to 1,200 cycles per minute, achieving automation in production lines, quality control, and efficient sorting.

In high-speed pipeline production, the regularity of product edges directly impacts assembly precision and user experience. However, traditional manual inspection cannot meet the demand for detecting thousands of high-speed moving products per minute.
SingTown Technology's AI smart camera solution based on the OpenMV platform utilizes machine vision and image recognition technology to achieve high-speed detection of edge regularity for moving products and automatic rejection.
The system's high-speed camera captures clear images of products moving rapidly on the conveyor belt in real time. AI algorithms analyze edge contours, angles, and annular structures to identify products with irregular edges, multiple rings, or abnormal shapes. Its computer vision technology handles variations in lighting and motion blur, ensuring accurate detection even at a high frequency of 1,200 pieces per minute.
The system supports coordinated control of robotic arms or rejection devices to automatically eliminate unqualified products, achieving fully automated quality control. The OpenMV intelligent camera features high response speed, low latency, and industrial-grade stability. Its edge AI can independently complete recognition tasks locally, making it suitable for edge deployment at production line inspection stations and enabling long-term continuous operation.
SingTown Technology, with AI, machine vision, and image recognition technologies at its core, enables smart cameras not only to capture images at high speed but also to instantly determine product compliance. It provides efficient, reliable, and intelligent embedded vision solutions for quality inspection in manufacturing, significantly enhancing production efficiency and product quality.

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

Personnel crossing the boundary triggers an alarm; OpenMV defines the “sense of security boundary.”
Detecting personnel or equipment crossing boundaries via virtual alert lines.

“AI城管” is here: An automated system for detecting illegal street vending, built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Is the gas cylinder placed haphazardly? Use OpenMV to automatically trigger a hazard alert
Automatically identifies unauthorized placements of gas cylinders to detect potential gas safety hazards in advance.

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

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