Running test method and system and computer readable storage medium

Abstract

A running test method comprises the steps of sending a running starting instruction, and recording a starting timestamp; acquiring three-dimensional point cloud data of an area where the end point identifier is located in real time; extracting three-dimensional face point cloud data from the three-dimensional point cloud data of the area where the end point identifier is located, and performing face recognition on the extracted three-dimensional face point cloud data to obtain identity information of each tester passing through the end point identifier; extracting three-dimensional human body point cloud data of each tester in the sprint process from the three-dimensional point cloud data of the area where the end point identifier is located, and if it is detected that at least one point in the three-dimensional human body point cloud data of the testers exceeds a straight line where the end point identifier is located, taking the acquisition timestamp of the three-dimensional human body point cloud data of the tester as a sprint timestamp; calculating the running score of each tester according to the starting timestamp and the sprint timestamp of each tester. The method can automatically identify the identities of the multiple testers and calculate the running scores at the same time, the testing efficiency is high, and the error rate is low.

Description

technical field [0001] The present invention relates to the technical field of machine vision, in particular to a running test method, system and computer-readable storage medium. Background technique [0002] During the training and assessment of running sports, multiple runners start together at the starting point. Usually, the runners need to run several laps along the track to complete the test. The whole process needs to manually record the number of laps and time. This method is prone to human errors. affect the veracity of the results. Especially for colleges and universities, each student needs to take a running test every semester. The number of testers reaches tens of thousands, and the test workload is very heavy. Tens of thousands of people are divided into groups of 20 people. With a number plate from 1 to 20, the corresponding 20 teachers record the running results of the students with the corresponding number plate. Before the test, 20 teachers need to be tra...

AI Technical Summary

Problems solved by technology

[0002] During the training and assessment of running sports, multiple runners start together at the starting point. Usually, the runners need to run several laps along the track to complete the test. The whole process needs to manually record the number of laps and time. This method is prone to human errors. Affect the authenticity of grades

Especially for colleges and universities, each student needs to take a running test every semester. The number of testers reaches tens of thousands, and the test workload is very heavy. Tens of thousands of people are divided into groups of 20 people. With a number plate from 1 to 20, the corresponding 20 teachers record the running results of the students with the corresponding number plate. Before the test, 20 teachers need to be trained separately, so it is very difficult to rely on the teacher to test manually tasks, this testing approach is complex, inefficient and error-prone to manage

[0003] With the development of science and technology, infrared photoelectric timing equipment and radio frequency identification timing system have appeared instead of manual testing. It can also block infrared light); the radio frequency identification timing system requires runners to carry a sensor with radio frequency function, which is easy to affect the performance of runners.

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