Efficiency Study of Image Processing Techniques for Small Robotic Arm Control Keeradit Saipattalung,*, Jirapas Jitaree , Thaichai Thongyoo , Somjai Klinngam , Chatchphon Ketviriyakit
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Abstract
This article presented a study on the efficiency of image processing techniques for controlling a small robotic arm. The system used a webcam to capture images, which were then processed using the PyCharm program. Micro servo motors served as the driving mechanism for the robotic arm, controlled through an Arduino board. The robotic arm operated based on hand movements, utilizing real-time hand detection techniques that measured the distance between the hand and the camera. The image processing analyzed the movement patterns and distance of the hand to determine whether it was moving forward, backward, left, right, grasping, or releasing an object. This information was then used to command the microcontroller, which controlled the small robotic arm's movement along the X, Y, and Z axes. Test results showed that the image processing techniques effectively controlled the small robotic arm's movement along the axes. The X, Y, and Z axis values changed according to hand movements. When testing the robotic arm's ability to move an object from left to right at a distance of 35 centimeters, the average time for object movement was 34.51 seconds. When powered by a 12-volt, 2200 milliamp-hour lithium-polymer battery, the small robotic arm could operate for an average of 20 hours and 45 minutes.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ์ต้นฉบับที่ได้รับการตีพิมพ์ในวารสารนวัตกรรมวิทยาศาสตร์เพื่อการพัฒนาอย่างยั่งยืนถือเป็นกรรมสิทธิ์ของคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสวนดุสิต ห้ามผู้ใดนำข้อความทั้งหมดหรือบางส่วนไปพิมพ์ซ้ำ เว้นแต่จะได้รับอนุญาตอย่างเป็นลายลักษณ์อักษรจากคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสวนดุสิต นอกจากนี้ เนื้อหาที่ปรากฎในบทความเป็นความรับผิดชอบของผู้เขียน ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากเทคนิคการพิมพ์
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