OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubIn the urban waste classification and resource recycling system, traditional manual sorting methods are inefficient, costly, and prone to classification errors and safety risks.
To achieve the automation and intelligence of waste sorting, environmental equipment manufacturers have introduced SingTown's OpenMV intelligent camera recognition technology. Through image recognition, machine vision, and AI deep learning algorithms, this technology automatically identifies, classifies, and guides the sorting of waste items, contributing to the construction of smart sanitation systems and the development of green cities.

Environmental equipment manufacturers have adopted SingTown Technology's OpenMV intelligent camera image recognition technology to create an intelligent waste sorting system based on AI deep learning and image recognition algorithms.
The system employs a high-performance OpenMV intelligent camera to capture images of disposed items in real-time. It utilizes image recognition visual algorithms to automatically analyze object shape, color, and texture features, and combines a deep learning model (CNN classification network) to identify waste types, such as classifying items by category. The system can accurately distinguish recyclables, kitchen waste, hazardous waste, and other waste, enabling automatic sorting or providing guidance for categorized disposal.
In complex environments, such as insufficient lighting, stacked garbage, or reflective materials, the automatic exposure, white balance, and noise reduction algorithms of the SingTown intelligent camera ensure recognition stability and accuracy.
The built-in AI edge computing module can rapidly perform recognition and judgment locally, enabling true edge deployment without reliance on cloud servers. The single recognition response time is as low as 50 milliseconds, supporting real-time control for tasks such as opening trash bin lids or robotic arm sorting.
Relying on SingTown Technology's integrated software and hardware platform, this embedded vision system can be quickly integrated into smart trash bins, sorting production lines, or sanitation robots to achieve automatic recognition, intelligent sorting, and data statistics.
Through SingTown Technology's OpenMV intelligent camera edge-side AI image recognition technology, environmental equipment manufacturers have successfully promoted the intelligent transformation of waste classification from "manual judgment" to "automatic AI visual recognition" in cost-sensitive and difficult-to-deploy scenarios, driving urban waste management towards an efficient, low-carbon, and sustainable future.

AI Sentinel Based on OpenMV: Automatic Alert for Unlocked Key Locations
Automatically determines 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”
Detecting personnel or equipment crossing virtual perimeter lines.

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

Improper placement 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 will immediately issue an alert!
Automatically identifies whether workers are wearing insulating gloves to assist in safe operations.

Real-time detection of surface defects on aluminum plates using the OpenMV smart camera
Online identification of defects on aluminum plate surfaces, such as scratches and dents, to support quality control.