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GithubSingTown基於OpenMV嘅AI智能鏡頭系統,能夠自動識別同分類垃圾袋顏色。利用機器視覺同圖像識別技術,系統可以快速區分白色、黑色同紅色等唔同顏色嘅垃圾袋。佢仲可以同分類裝置或管理系統整合,實現高效智能嘅垃圾分類同處理,廣泛適用於社區、校園同工業場景。

In waste classification and environmental management, the colour of rubbish bags serves as a crucial identifier for distinguishing waste types. However, manual sorting suffers from low efficiency and inconsistent accuracy. SingTown Technology has introduced an AI smart camera solution based on the OpenMV platform, leveraging machine vision and image recognition technology to achieve high-precision identification and intelligent sorting of rubbish bag colours.
The system captures real-time images of garbage bags through the camera, and the AI algorithm analyses colour features, brightness, and morphology to quickly classify white, black, red, and other coloured garbage bags. Upon completion of recognition, signals can be directly output to the automatic sorting robotic arm or management system, enabling automatic categorisation of garbage bags by colour.
The OpenMV intelligent camera boasts high sensitivity, low power consumption, and a compact design, supporting edge deployment for long-term stable operation at community waste collection points, park environmental stations, or industrial waste processing lines. The system supports custom model training, enabling optimised recognition of garbage bags under varying materials, lighting conditions, or mixed backgrounds to ensure classification accuracy.
透過邊緣人工智能與電腦視覺技術的深度融合,SingTown的智能相機不僅能「看見」垃圾袋的顏色,更能實時分析並執行分類動作。這為智慧環保、社區管理及工業廢物處理提供了高效可靠的嵌入式視覺解決方案,推動垃圾分類管理的智能化升級。

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