Workpiece detection method and device, computer equipment and storage medium

Abstract

The invention discloses a workpiece detection method and device, a computer and a storage medium, and the method comprises the steps of obtaining the attribute information of a to-be-detected workpiece; performing optical detection on the detection area to obtain detection data of various parameters of the to-be-detected workpiece; searching standard data of various parameters corresponding to theattribute information; and comparing the detection data with the standard data, and judging whether the to-be-detected workpiece is qualified or not according to a comparison result. According to themethod, when the workpiece is detected, the method includes searching corresponding standard data of each parameter of the workpiece by acquiring attribute information of the workpiece, and comparingand analyzing the standard data and the detection data obtained by optical detection of the workpiece to determine whether the workpiece is qualified or not, so that measurement and quality detectionof the workpiece can be completed without manual operation, the workpiece detection efficiency is effectively improved, introduction of manual operation errors is avoided, and meanwhile, the workpiece detection precision is improved.

Description

technical field [0001] Embodiments of the present invention relate to mechanical detection technology, and in particular to a workpiece detection method, device, computer and storage medium. Background technique [0002] Since the workpiece has to go through several forming processes such as stamping and bending, there are a large number of defects in the finished product. The shape of the outline of the workpiece and the size of key positions are the benchmarks for judging whether it is a qualified product or a defective product. Due to the current mass-produced workpieces, the dimensions and contours of the workpieces are manually randomly inspected, and the measured data obtained also need to be compared and analyzed manually, which is low in efficiency and highly random. Contents of the invention [0003] Based on this, aiming at the above technical problems, the present invention provides a workpiece detection method, device, computer and storage medium, which can im...

AI Technical Summary

Problems solved by technology

Due to the current mass-produced workpieces, the size and contour of the workpieces are manually randomly inspected, and the measured data obtained also need to be compared and analyzed manually, which results in low detection efficiency and high randomness.

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