Gesture recognition module test machine and test method thereof

Abstract

The invention discloses a gesture recognition module test machine and a test method thereof. The test machine comprises a box body, wherein the box body is provided with an accommodation cavity; a test standard board, wherein the test standard board is arranged in the accommodation cavity; and a module positioning device, wherein at least one gesture recognition module is suitable for being detachably arranged in the module positioning device, and the module positioning device equipped with the gesture recognition module is suitable for being placed in the accommodation cavity so as to facilitate test. The gesture recognition module can finish various kinds of test items in the gesture recognition module test machine, such as gesture recognition module frame test, thermal noise test, blocker effect test, gesture recognition module infrared LED lamp working condition test, uniformity test, vignetting test, glare test, gesture recognition module calibration test and gesture recognition module three-dimensional overall test and the like.

Description

technical field [0001] The invention relates to a three-dimensional interactive device, in particular to a testing machine for a gesture recognition module and a testing method thereof. Background technique [0002] In recent years, 3D interactive technology has developed rapidly, and its application scope has become wider and wider. Many electronic smart devices such as computers, notebooks, PADs, mobile phones, and TVs have begun to be equipped with 3D interactive functions. Vision-based gesture recognition technology is an indispensable key technology to realize the new generation of human-computer interaction. As a necessary product of 3D interactive technology, the demand for gesture recognition modules is also increasing day by day. [0003] The vision-based gesture recognition system obtains the video data stream through one or more cameras, then separates the gesture information from the video stream, and uses certain recognition methods to recognize and classify the...

AI Technical Summary

Problems solved by technology

However, in practical applications, due to the diversity of gestures and body movements, as well as the differences in time and space, and the human hand is a complex deformation body, each person's hand shape is different, and the habit of doing various movements is also different. Therefore, when completing gesture recognition, a large amount of data needs to be processed, and the processing method is also very complicated. In this way, the requirements for gesture recognition modules are also very high, so the phase difference technology for gesture recognition module production needs to be optimized

Images