OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubOpenMVShieldsLensRoboticsBookVideoDownloadDocsForumOpenMV.ioGithubSingTown AI Vision Technology enables more accurate, stable, and intelligent counting on packaging production lines.
In packaging production lines, traditional infrared or mechanical counting methods are susceptible to interference from light, speed, and object shapes, leading to inaccurate counts or response delays.
To enhance detection accuracy and automation levels, packaging equipment manufacturers have introduced SingTown's OpenMV intelligent camera AI image recognition technology. Utilizing AI machine vision and image recognition algorithms, this system automatically detects and counts packaging bags on the conveyor belt, achieving real-time signal output and coordinated control.
The packaging counting system utilizes SingTown Technology's OpenMV intelligent camera AI image recognition technology to monitor the quantity of packaging bags in real-time on the operating conveyor belt.
The camera is installed 1.5–2 meters away from the conveyor belt to capture images and perform edge AI recognition of packaging bags measuring approximately 70cm × 40cm. The system utilizes computer vision algorithms (edge detection + motion recognition + target tracking) to determine the entry and exit status of the packaging. When a complete package is detected passing through the recognition area, it automatically outputs a counting signal.
The OpenMV intelligent camera facilitates adaptable edge deployment, incorporating edge computing functionalities and diverse I/O control interfaces. It can transmit pulse signals directly to PLCs, microcontrollers, or host computers through GPIO or serial ports, enabling production synchronization and output statistics.
The system response time is below 20 milliseconds, ensuring stable adaptation to varying conveying speeds and lighting conditions.
Through SingTown Technology's OpenMV intelligent camera image recognition solution, packaging production lines have been upgraded from manual or photoelectric counting to AI visual counting, significantly enhancing detection accuracy, stability, and production efficiency.
Related articles
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.
