OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubIn precision industrial inspection scenarios, the detection of crossover points in cable braiding layers or conductive mesh sleeves is a critical aspect of quality control. Traditional manual inspection methods are inefficient and prone to high error rates, making it difficult to meet the real-time accuracy demands of high-speed production lines. To address this challenge, industrial manufacturing enterprises have adopted SingTown
The SingTown OpenMV intelligent camera recognition technology utilises machine vision and AI image recognition algorithms to accurately identify the spatial coordinates of the intersection point of two 0.5mm thick cables, automatically excluding the central area and extracting only the data from the upper and lower intersection points. This solution can be installed at production line inspection stations to monitor the integrity of the cable braiding structure in real time, providing a reliable basis for subsequent automatic positioning, error correction, and visual inspection.

Industrial manufacturing enterprises have implemented a cable braiding inspection system based on SingTown Technology's OpenMV intelligent camera, achieving cable crossover point detection.
The system installs high-resolution cameras fixed above the production line inspection area to capture real-time images of cable surface textures through high-resolution lenses.
The captured images are automatically identified by the built-in system using AI machine vision algorithms: by combining edge detection and geometric fitting techniques, the system can accurately recognise the intersection area of two 0.5mm thick lines on the cable surface.
Utilising the morphological operations and coordinate extraction functions of the OpenMV module, the system can swiftly determine the positions of intersections, retaining only the effective upper and lower intersection points, and outputting their precise coordinate data to the control system in real time.
In dynamic production environments, this system demonstrates high stability and anti-interference capability, achieving millisecond-level response under close-range installation conditions.
The identified cross-coordinate data can be used in processes such as automatic adjustment of cable winding angles, correction of positional deviations, and defect detection, significantly enhancing inspection efficiency and product consistency.
SingTown's OpenMV smart camera, with its compact design and robust computer vision algorithms, possesses strong edge deployment capabilities. It provides a flexible, high-precision, and cost-effective intelligent solution for industrial automation inspection.

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations
Automatically detects whether doors at key locations have remained open for an extended period and issues timely alerts.

Personnel crossing boundary triggers an alert—OpenMV defines the “sense of safety boundary”
Detects personnel or equipment crossing virtual perimeter lines.

“AI Urban Management Officer” is here: an automated unauthorised street trading detection system built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Misplaced gas cylinder? Use OpenMV to automatically trigger hazard alerts
Automatically identifies non-compliant placement of gas cylinders to proactively detect 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 with safe operations.

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