Aiming at the problems of low efficiency and poor accuracy in traditional garbage classification, this paper designs an intelligent classification garbage bin. The design integrates mechanical structure and intelligent control technology, constructs seven core mechanisms, and adopts a control system centered on a single-chip microcomputer/embedded development board to realize the full-process automation of garbage temporary storage, identification, separation and storage. It also integrates functions such as full-load detection, garbage compression and information visualization, meeting the requirements of four types of garbage classification, with core performance indicators up to standard and convenient maintenance. The design features automation, intelligence and expansibility, and has a wide range of application scenarios. Subsequent efforts will optimize the algorithm and lightweight the structure to promote large-scale application.
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Liang, J., Chen, N., Ouyang, S., Xing, J., Zhang, C. (2026) Research and Development of Intelligent Classification Garbage Bin Based on Machine Vision. Scientific Research Bulletin, 3(2), 1-7. https://doi.org/10.71052/srb2024/VDVH3187