Rapid detection method for shape and position size of part

Abstract

The invention discloses a rapid detection method for the shape and position size of a part. The method comprises the steps of obtaining the shape and position size of a standard part according to a two-dimensional drawing, controlling a three-dimensional laser projector to project the shape and position size of the standard part to the to-be-measured shape and position size surface of the part, and judging whether the to-be-measured part meets the requirements of the standard part or not based on alignment of the to-be-measured shape and position size of the part and the shape and position size of the standard part. In the invention, the laser outline of the shape and position size of the standard part is correspondingly projected to the to-be-measured shape and position size surface of the part through the three-dimensional laser projector, the visual detection method combining laser projection and image fusion can quickly, accurately and comprehensively detect the to-be-measured shape and position size of the part in a non-contact manner, thereby judging whether the to-be-detected shape and position size of the part meets the requirements of the two-dimensional drawing of the standard part or not, and completing the rapid inspection of a product warehousing stage.

Description

technical field [0001] The invention belongs to the field of component quality detection, and in particular relates to a rapid detection method for the shape, position and size of a component. Background technique [0002] With the improvement of the domestic manufacturing level and the intensification of market competition, many manufacturing industries have put forward higher and higher requirements for the quality control of the parts they process. At present, when parts are put into storage for inspection, inspectors need to measure the full size of parts, that is, 100% inspection of products to achieve product quality control, which is an indispensable process link for enterprises. [0003] However, when the product is put into the warehouse for inspection, the warehouse inspector needs to measure the full size of the product, especially the shape and size of the internal parts; Characteristic of various bit size characteristics. The traditional inspection takes a lon...

AI Technical Summary

Problems solved by technology

The traditional warehousing inspection and detection method has the following defects: the detection equipment and parts are required to have a fixed relative position, the detection environment is required to be unified, the ability to recognize complex backgrounds is poor, the parts are required to be within a small size range, and the recognition algorithms are mostly Based on high-configuration PCs, it is not suitable for embedded use of mobile terminals

[0005] For example, the Chinese patent discloses a component quality inspection device and its detection method based on line laser three-dimensional measurement. The quality inspection device includes a mobile platform installed on a guide rail that can slide at a constant speed along the guide rail. The parts to be tested are fixed on the mobile platform. A camera and several laser emitters are installed above through the bracket; the camera collects the image that the laser emitter projects onto the surface of the component to be tested and is deformed after being modulated by the surface, and the camera transmits the collected image data to the computer for analysis and processing. The linear stripes emitted by the laser transmitter are projected onto the surface of the part to be tested for linear scanning, and the image information on the part to be tested is continuously collected by the camera, so that the measured 3D point cloud data and the initially designed 3D graphics are in the same coordinate system Under the comparative analysis, qualified parts are screened out, but the 3D point cloud data is compared with the initially designed 3D graphics in the same coordinate system, which requires a large amount of data to be processed, and the rapid detection of parts cannot be realized

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