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

In 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 utilise SingTown's OpenMV intelligent camera image recognition technology to create 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 the object's shape, colour, and texture features. By integrating a deep learning model (CNN classification network), the system identifies the type of waste, such as classifying items by category. It can accurately distinguish between recyclables, kitchen waste, hazardous waste, and other types of rubbish, enabling automatic sorting or providing guidance for proper 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 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 the bin lid 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 to achieve 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.