Intelligent testing robot based on digital image and use method thereof

Abstract

The invention relates to the field of device testing based on a digital image, in particular to an intelligent testing robot based on a digital image. The robot comprises a case recording module, a motion control module and an image recognition module. The case recording module is used for recording a testing case, and the testing case includes an operational motion carried out on a device to be tested and an expected display screen state generated by the operational motion on the device to be tested. The motion control module is used for operating the device to be tested according to the operational motion recorded by the case recording module. The image recognition module is used for comparing a display screen state generated after the device to be detected is operated with the expected display screen state recorded by the case recording module to judge whether the testing case is successfully executed or not. Because manual operation is replaced by the robot, the degree of automation is greatly improved; besides, compared with manual testing, machine operation is more accurate, and the robot is more suitable for repeated pressure testing and batch testing.

Description

technical field [0001] The invention relates to the field of equipment testing based on digital images, in particular to an intelligent testing robot based on digital images. Background technique [0002] With the rapid development of electronic technology, smart devices such as mobile phones, tablet computers, navigators, and ATM cash machines are used more and more frequently, and their research and development, production and marketing cycles are further shortened. The various testing links in the product development and production process are the effective guarantee of product quality. Generally, there are two traditional testing methods: [0003] The first is to manually test according to the steps described in the test case. The problems of this method are as follows: first, the test level is subject to the test workers’ professional skills, professionalism and work status; second, the workers who operate manually for a long time are prone to fatigue, and excellent te...

AI Technical Summary

Problems solved by technology

The problems of this method are as follows: first, the test level is subject to the test workers’ professional skills, professionalism and work status; second, the workers who operate manually for a long time are prone to fatigue, and excellent test workers will also check the test results when they are fatigued. Misjudgment; third, this test method is relatively slow and generally not suitable for repeated stress tests and mass tests;

The problems with this testing method are as follows: first, the testable part is limited to the pure software part, and important human-computer interaction interfaces such as buttons and screens cannot be effectively tested; second, there are many differences between the testing process and the scenarios used by users

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