OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubTraditional fruit and vegetable sorting relies on manual assessment of size and appearance, which is not only inefficient and prone to errors but also struggles to meet the demands of large-scale processing.
To achieve automated grading and quality inspection of fruits and vegetables, fruit and vegetable processing equipment manufacturers utilise SingTown Technology's OpenMV intelligent camera AI image recognition technology. Through AI machine vision and machine vision algorithms, real-time identification and grading of fruit volume and surface quality are achieved, enhancing the accuracy of automated sorting and production efficiency.

The fruit and vegetable sorting system, based on SingTown Technology's OpenMV intelligent camera AI image recognition technology, has developed an embedded AI vision solution that integrates volume detection and quality identification.
The system installs an OpenMV intelligent camera above the conveyor belt to capture real-time images of fruits. Through edge-deployed computer vision algorithms, it analyses the size, shape, and colour characteristics of the fruits, automatically classifying them into large, medium, and small grades. Based on the results, it controls the sorting mechanism to convey fruits of different specifications to their corresponding collection bins.
Meanwhile, edge AI can also detect surface defects, blemishes, and signs of decay on fruits, enabling the automatic distinction between high-quality and substandard products.
SingTown OpenMV intelligent camera features edge computing capabilities, enabling it to run recognition models locally without requiring external computational resources. With a recognition latency of less than 30 milliseconds, it is suitable for high-speed sorting scenarios.
Through SingTown Technology's OpenMV intelligent camera AI image recognition technology, the fruit and vegetable sorting system has achieved an upgrade from manual screening to AI visual quality inspection and automatic sorting, significantly enhancing sorting efficiency and quality control stability.

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured 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 interprets the “sense of security boundary”
Detects personnel or equipment crossing virtual perimeter lines.

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

Improper storage of gas cylinders? Use OpenMV to automatically trigger hazard alerts
Automatically identifies non-compliant placement positions of gas cylinders to detect potential gas safety hazards in advance.

Did you perform live-line work without wearing insulating gloves? OpenMV issues an immediate alert!
Automatically identifies whether personnel are wearing insulating gloves to assist in safe operations.

Utilise the OpenMV smart camera to identify 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.