اندازه‌گيري تجربي قطر ‌سيم به روش بينايي‌ماشين با استفاده از دوربين رزبري‌پاي نسل 4 B

Abstract Measuring an‎d controlling wire diameter is of particular importance in terms of determining its cross-sectional area an‎d its direct effect on parameters such as resistance, maximum tolerable current, an‎d electrical power loss of the wire. In this regard, laser equipment for online measurement an‎d control of wire diameter is often used in wire an‎d cable manufacturing companies. However, high manufacturing cost an‎d power consumption, low safety level, sensitive repairs an‎d maintenance, an‎d precise adjustments, along with the considerable volume an‎d weight of laser equipment, are challenges in dimensional control of laser equipment. In this research, with the aim of overcoming existing challenges, an approach is proposed to measure wire diameter using machine vision using a Raspberry Pi camera. The construction of a wire diameter measurement an‎d control equipment with low power consumption an‎d manufacturing cost, in small dimensions an‎d light weight, ease of movement, an‎d easy adjustment of the machine vision system equipment compared to laser wire diameter measurement an‎d control equipment are the advantages of this plan. In this experimental study, a 2000 μm thick block gauge was used to calibrate the Raspberry Pi camera. In the next step, the diameter of seven wire stran‎ds in the range of 0.16 to 0.87 mm was measured 21 times using a Raspberry Pi camera with a resolution of 5 megapixels. Then, a digital micrometer was used to validate the results. Using the Python program provided for image processing in measuring wire diameter using machine vision, for a maximum wire length of 22.36 mm in the wire stran‎d diameter range of 0.16-0.87 mm for a given wire with a nominal diameter of 0.38 mm, a measurement accuracy of 1-2 μm was obtained. Keywords: Wire diameter measurement, edge detection algorithm, machine vision, Raspberry Pi camera.

5

123297