Assembly process geometric parameter self-adaptive measurement system and method based on computer vision

Abstract

The invention discloses an assembly process geometric parameter adaptive measurement system based on computer vision. The system comprises a process design client unit, an image acquisition system, animage processing system, a tracking system, a visualization system and a server. According to the invention, through the measurement instruction transmitted by the server, the camera can adaptively adjust the measurement position, accurately measure the area and reduce the measurement range, thereby realizing measurement accuracy, reducing the calculation amount of a computer, improving the measurement efficiency and realizing real-time detection and measurement.

Description

technical field [0001] The invention relates to an image processing and recognition technology for self-adaptive measurement of geometric parameters in an assembly process, in particular to a computer vision-based system and method for self-adaptive measurement of geometric parameters in an assembly process. Background technique [0002] In industrial production, traditional shape and size inspection methods include calipers, gauges, universal tool microscopes, profilers and X-rays, etc. These inspection methods play a huge role in industrial production, but with the development and progress of modern industry, Especially in some high-precision industries, traditional detection methods can no longer meet the needs of production. Although the detection methods such as calipers and gauges are simple and fast, they have less measurement data and low accuracy. Although detection methods such as universal tool microscopes and profilers have high precision, they require specific e...

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Problems solved by technology

[0002] In industrial production, traditional shape and size inspection methods include calipers, gauges, universal tool microscopes, profilers and X-rays, etc. These inspection methods play a huge role in industrial production, but with the development and progress of modern industry, Especially in some high-precision industries, the traditional detection methods can no longer meet the needs of production. Although the detection methods such as calipers and gauges are simple and fast, the measurement data is less and the accuracy is not high.

Although detection methods such as universal tool microscopes and profilers have high precision, they require specific equipment and specific environments for detection, which is not only labor-intensive, but also low in efficiency. Traditional detection and measurement technology requires a large number of detection workers. Not only affect production efficiency, but also bring unreliable factors

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