logo
OpenMV
Home Cam
Applications
Store
AI
Sales Channels
Support
OpenMVOpenMV
ShieldsShields
LensLens
RoboticsRobotics
BookBook
VideoVideo
DownloadDownload
DocsDocs
ForumForum
OpenMV.ioOpenMV.io
GithubGithub

SingTown Technology Accelerates Industrial Quality Inspection with Enhanced Speed and Precision: 0.1mm-Level Accuracy, Results in 5 Seconds

On industrial electronic equipment assembly lines, product panels typically contain various components such as knobs, labels, buttons, and accessories. Manual quality inspection methods are prone to misjudgment, missed detection, and low efficiency.

Therefore, industrial electronic assembly manufacturers adopt SingTown's OpenMV intelligent camera to build a smart visual inspection system, achieving automatic recognition and judgment of font printing content and angle, knob position, and component installation status. The system's inspection range is 350mm in length and 150mm in width, with the camera installed within 200mm, enabling simultaneous multi-item inspection in limited space.

This solution can be widely applied in scenarios such as electronic control panels, switchgear, and precision instrument housing assembly lines, assisting enterprises in achieving efficient and automated quality inspection.

贴标、旋钮与配件检测

Industrial electronics assembly manufacturers have developed a machine vision inspection system based on the OpenMV smart camera, integrating computer vision, AI image recognition, template matching, and OCR character detection algorithms to achieve real-time inspection of complex panel assembly.

This embedded vision system captures partial product images via high-definition cameras, performs OCR text recognition and tilt angle analysis on label areas to determine if text is misapplied, misaligned, or exhibits color anomalies; simultaneously, it utilizes geometric feature matching algorithms to detect whether knob angles and positions comply with standards. For accessories of different colors (such as yellow and gray small parts), the system can automatically assess whether installation is correct through color segmentation and morphological analysis.

Furthermore, template comparison can also detect abnormalities such as foreign objects, dropped items, and missing installations. Within the detection cycle (within 5 seconds), it completes the judgment and outputs signals to the PLC or host computer, enabling automatic rejection of defective products.

This solution offers high detection accuracy (error <0.1mm), fast response, strong environmental adaptability, and edge deployment capabilities, making it widely suitable for electronic assembly and consistency control scenarios.

# Industrial Inspection# Robot

Related articles

机房/配电房/单元门敞开识别

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations

Automatically detects whether the door of a key location remains open for an extended period and issues timely alerts.

越界识别

Personnel crossing the boundary triggers an alarm; OpenMV interprets the “sense of security boundary.”

Detects personnel or equipment crossing virtual perimeter lines.

占道经营识别

“AI Urban Management Officer” is Here: An Automatic Vendors-Encroaching-on-Pavement Recognition System Built on OpenMV

Automatically identifies illegal street vending activities to support daily urban governance.

煤气罐违规摆放识别

Improper Storage of Gas Cylinders? Use OpenMV to Automatically Trigger Hazard Warnings

Automatically identifies unauthorized placements of gas cylinders to proactively detect potential gas-related safety hazards.

绝缘手套佩戴识别

Did you perform live-line work without wearing insulating gloves? OpenMV issues an immediate alert!

Automatically identifies whether workers are wearing insulating gloves to assist in safe operations.

铝板缺陷识别

Leverage 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.

Popular categories

Language and Region
Copyright © 2025 星瞳科技SingTown
粤ICP备17045162号