چكيده لاتين
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.
