Design of Garbage Intelligent Recognition and Automatic Classification Device
Jiaqi Wu, Yuhao Zhang, Haibo Yi, Weiping Deng, Tao Qu
- Year
- 2023
- Citations
- 2
Abstract
Artificial Intelligence (AI) has received increasing attention in the field of computer science. And it has been applied in robotics, economic and political decision-making, control systems, and simulation systems. In recent years, there have been efforts to accelerate the classification of household waste, establish a garbage classification and recycling system, and expedite the establishment of a garbage treatment infrastructure for sorting, placement, collection, transportation, and processing. The Raspberry Pi is a credit card-sized microcomputer with a Linux-based operating system. Given the need for a smaller recognition device with higher computational complexity, we choose the Raspberry Pi as our hardware platform for this project. Utilizing the Raspberry Pi’s lightweight hardware and AI, intelligent garbage classification can achieve greater accuracy, speed, and efficiency. This article presents an intelligent garbage classification device designed using the Raspberry Pi 4B, which can be used in various scenarios due to its small footprint. The design method proposed in this paper can be widely applied to fields such as smart homes and smart cities.
Keywords
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