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

Based on SingTown Technology's OpenMV, the AI visual system for garbage classification reduces costs and enhances stability.

In the urban waste classification and resource recovery 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.

智能垃圾分类

Environmental equipment manufacturers utilize SingTown Technology's OpenMV intelligent camera image recognition technology to create an AI deep learning and image recognition algorithm-based intelligent waste sorting system.

The system employs a high-performance OpenMV intelligent camera to capture images of disposed items in real-time. Utilizing image recognition visual algorithms, it automatically analyzes the shape, color, and texture features of objects. Combined with a deep learning model (CNN classification network), it identifies waste types, such as classifying items by category. The system accurately distinguishes between 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 waste, or reflective materials, the automatic exposure, white balance, and noise reduction algorithms of the OpenMV smart camera ensure recognition stability and accuracy.

The built-in AI edge computing module in the system can quickly complete recognition and judgment locally, achieving true edge deployment without relying on cloud servers. The single recognition response time is as low as 50 milliseconds, supporting real-time control of trash can lid opening or robotic arm sorting.

Leveraging SingTown's integrated software and hardware platform, this embedded vision system can be swiftly integrated into smart trash bins, sorting production lines, or sanitation robots, enabling automatic recognition, intelligent sorting, and data statistics.

Through SingTown Technology's OpenMV intelligent camera edge 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.

Related articles

机房/配电房/单元门敞开识别

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

Automatically detects whether the doors of key locations remain open for an extended period and issues timely alerts.

越界识别

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

Detects personnel or equipment crossing virtual perimeter lines.

占道经营识别

“AI City Management” is Here: An Automated Obstruction Detection 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 non-compliant placement of gas cylinders to proactively detect gas-related safety hazards.

绝缘手套佩戴识别

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately alert you!

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

铝板缺陷识别

Utilise the OpenMV smart camera to detect surface defects on aluminium plates in real time

Online identification of defects such as scratches and dents on aluminium plate surfaces to support quality control.

Popular categories

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