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This paper introduces an innovative sorting system that leverages, advanced image processing capabilities, particularly focusing on color and shape detection, integrated into a robotic platform. The cost-effective solution, utilizes the Raspberry Pi single-board computer to maximize computational power, achieving efficient object sorting. The system excels in identifying, sorting, and processing objects, based on color and shape attributes, with added functionality for obstacle detection. Through seamless integration of Raspberry Pi with Python programming, and advanced image processing, the project showcases the potential of this approach, in addressing challenges in automation and robotics. This technology holds promise for future applications, in medical imaging and pharmaceutical settings, offering efficient analysis and sorting based on color and shape characteristics.
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Pushpa et al. (2024) studied this question.
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