OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubIn urban waste sorting and resource recovery systems, 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 utilise SingTown's OpenMV intelligent camera image recognition technology to develop an AI deep learning and image recognition algorithm-based intelligent waste sorting system.
The system utilises a high-performance OpenMV intelligent camera to capture images of disposed items in real time. It employs image recognition visual algorithms to automatically analyse object shape, colour, 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 between recyclables, food waste, hazardous waste, and other refuse, enabling automatic sorting or providing guidance for classified disposal.
In complex environments, such as insufficient lighting, stacked waste, 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 judgement locally, enabling true edge deployment without reliance on cloud servers. Single recognition response time is as low as 50 milliseconds, supporting real-time control for tasks such as opening bin lids or robotic arm sorting.
Leveraging SingTown's integrated software and hardware platform, this embedded vision system can be swiftly integrated into smart waste bins, sorting production lines, or sanitation robots to achieve automatic identification, 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 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.