Object detection method and device, electronic equipment and storage medium

Abstract

The invention relates to an object detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a first detection signal outputted by a millimeter wave radar for scanning a to-be-detected object; calculating detection data corresponding to the to-be-detected object based on the first detection signal; first difference data between the detection data and preset reference data is calculated, the reference data is obtained through calculation based on a second detection signal output by a millimeter wave radar scanning reference object, and the shape of the reference object does not have defects; and if the first difference data is greater than a preset first threshold value, determining that the shape of the to-be-detected object generates defects. According to the embodiment of the invention, on the basis of the detection data obtained by detecting the to-be-detected object and the reference data obtained by detecting the reference object, the deformation quantity of the to-be-detected object relative to the reference object with no shape defect is obtained, and the shape defect of the to-be-detected object can be determined by comparing the deformation quantity with the preset first threshold value; the wear condition of the object is automatically detected, the detection result is more accurate, and the efficiency is higher.

Description

Technical field [0001] The present application relates to the field of automated technology, and more particularly to an object detection method, device, electronic device, and storage medium. Background technique [0002] After the machine fault detection means that the lower machine is connected to the system, the system periodically sends a detection signal to the next machine. By the received response data frame, it is determined whether the system generates a fault; the fault type is determined that the system is after detecting the fault. Analysis Cause, judging the type of system failure, diagnosis of system specific faulty parts and failure causes, according to the cause of the failure, take different measures to recover the system failure. [0003] For equipment used for pipeline production in real life, it is usually used in the production process, and the problem of wear failure of machine components caused by the long-term use of machines in the production process. Co...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned technical problems of low accuracy and low efficiency of manual inspection of machine component wear, the present application provides an object detection method, device, electronic equipment and storage medium

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