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GithubIn urban waste classification 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-powered smart waste sorting system based on deep learning and image recognition algorithms.
The system utilises a high-performance OpenMV smart camera to capture images of disposed items in real time. It employs image recognition visual algorithms to automatically analyse the object's shape, colour, and texture features. Combined with a deep learning model (CNN classification network), it identifies the type of waste, 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 bins, sorting production lines, or sanitation robots to achieve automatic identification, intelligent sorting, and data analytics.
Through SingTown Technology's OpenMV intelligent camera edge AI image recognition technology, environmental equipment manufacturers have successfully driven the intelligent transformation of waste sorting from "manual judgment" to "automatic AI visual recognition" in cost-sensitive and difficult-to-deploy scenarios, propelling urban waste management towards an efficient, low-carbon, and sustainable future.

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