Its application scope has gradually improved and been promoted with the development of industrial automation. The rapid development of technologies such as mother-child image sensors, CMOS and CCD cameras, DSP, ARM embedded technology, image processing and pattern recognition has powerfully promoted the development of machine vision.
Working principle of machine vision inspection technology
Machine vision inspection systems use CCD cameras to convert the targets to be inspected into image signals, which are then transmitted to a dedicated image processing system. Based on pixel distribution and information such as brightness and color, the signals are converted into digital signals. The image processing system performs various calculations on these signals to extract target features, such as area, quantity, position, and length. Then, based on preset tolerances and other conditions, it outputs results, including size, angle, number, pass/fail, presence/absence, etc., achieving automatic recognition.
To adapt to today's rapidly developing society, machine vision inspection technology is indispensable. In environments unsuitable for human work, machine vision can replace human labor. Machine vision inspection technology can be categorized as follows:
1. Generally speaking, machine vision inspection technology can be distinguished according to its inspection function: positioning, defect detection, counting/loss detection, and dimensional measurement.
2. Machine vision inspection technology can be divided into two categories based on the carrier of its device: online inspection system and offline inspection system.
3. Based on the differences in detection skills, there are generally stereo vision detection skills, mottle detection skills, dimensional measurement skills, OCR skills, etc.
Machine vision inspection technology is crucial for eliminating defects such as flaws, blurriness, debris, or dents in products to ensure their functionality and performance. Therefore, it is now widely used in product defect detection and dimensional inspection across various industries. For example, vision systems can perform inspections on multiple aspects of a product; they can detect defects or misaligned pins in electronic components, measure the shape of syringe parts, or distinguish colors to check for incorrect installations.
