AI-Driven Object Sorting and Storage System Using Raspberry Pi

This paper presents an AI-powered object-storing robot utilizing a Raspberry Pi interfaced with a web camera, two servo motors, a DC motor, and a motor driver. The primary objective is to autonomously store objects in designated locations based on their type. The system operates by moving the objects using a motor-driven accelerator, while the web camera continuously monitors and identifies the objects using computer vision techniques. When an object, such as an apple, is detected, the corresponding servo motor is activated to move the object to its predetermined storage area, such as an apple tray. Similarly, other objects like cups and bottles are identified and placed in their respective designated locations. The integration of AI for object detection and the precise control of motors for object manipulation allows for efficient and sorting and storing of various items. This automated approach not only enhances the organization but also reduces the manual effort required for sorting and storing objects. The system's design and implementation are discussed, highlighting its potential applications in smart storage solutions and automated inventory management.