A computer vision-based dual-camera three-stage frog leap testing method and system

Through a dual-camera system based on computer vision, the problems of high manpower costs and inconsistent testing standards in the existing three-level frog leap test are solved, and automated and intelligent testing is achieved, ensuring the accuracy and fairness of the test.

CN117582649BActive Publication Date: 2025-10-14SHANDONG INSPUR ULTRA HD INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202311556359.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-11-21
Publication Date
2025-10-14
Estimated Expiration
2043-11-21

AI Technical Summary

Technical Problem

The existing three-level frog leap test method has problems such as high manpower cost, inconsistent testing standards, inaccurate violation detection and difficulty in traceability. In particular, it is difficult to achieve automation and accuracy in manual and traditional contact sensor testing.

Method used

A dual-camera testing system based on computer vision is used to detect the key points and movements of the tester in real time through regional calibration and distortion correction, automatically determine violations, and calculate the actual long jump distance through image processing, achieving automated and unified testing standards.

Benefits of technology

The three-level frog leap test has been automated and intelligentized, reducing human involvement, ensuring the accuracy and fairness of the test, unifying the testing standards, and improving the traceability of the test results.

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Abstract

The application provides a kind of double camera three-stage frog jump test method and system based on computer vision, belong to visual identification technical field. Including: build three-stage frog jump test site, by take-off line is divided into area for preparation area and long jump area, the preparation area and long jump area same side are equipped with one camera respectively;Image captured by camera is regionally calibrated and distortion corrected;Tester enters test area, starts test;Preparation area camera real-time acquisition test image, real-time judge whether there is take-off violation;Tester takes off, start long jump area camera, long jump area camera real-time acquisition test image, judge whether there is jump incoherence violation;Calculate the score of non-violation test, obtain the landing point after removing distortion and take-off line, the vertical distance between the corrected landing point and take-off line is the actual long jump distance. The application unifies the detection standard, reduces the consideration participation guarantee test accuracy and fairness.
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