Hardware development of nut counting system using computer vision method

Zaini, Nur A’qilah (2024) Hardware development of nut counting system using computer vision method. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Counting system manually is very diffcult this is because of small metal and need to memorize for a long time. There is pressing need to develop an optimized hardware solution that utilizes computer vision techniques This project focuses on creating a system to count hexagon nuts on a conveyor belt. By utilizing Raspberry Pi as the main controller, the aim is to automate the nut counting process in industrial environments, leading to improved efficiency and accuracy. The system employs computer vision algorithms to detect and track individual nuts as they move along the conveyor. By combining the hardware capabilities of Raspberry Pi with object detection, the system achieves real-time nut counting with a high level of accuracy. The project covers various aspects such as capturing images, preparing them for analysis, detecting objects, and implementing counting algorithms. This work contributes to the field of computer vision and offers a practical solution for automating nut counting in industrial settings.

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