Automatic detecting device for pull-up

Abstract

The invention discloses an automatic detecting device for pull-up. The device comprises a shell, a microcontroller arranged in the shell, and an image acquisition module, an audio processing module, astorage module and a steering engine driving circuit which are connected to the microcontroller respectively; the side face of the shell is also provided with an IC card reading module, a USB interface and a network interface respectively, and the image acquisition module is arranged at the top end of the shell. The automatic detecting device for the pull-up has the advantages that automatic testand recognition are performed by integrating a mechanic image processing algorithm, human-computer interaction is performed by integrating a voice recognition method, and automatic data storage and updated web display are performed in a mode of a network database, so that the hardware cost is reduced, the mechanical structure is simplified and the interaction ability is improved.

Description

technical field [0001] The invention relates to a pull-up testing device based on an embedded mobile terminal, in particular to a pull-up automatic testing device based on a raspberry pie. Background technique [0002] The "National Students' Physical Health Standards" test requires all middle school, high school and college boys to take the pull-up test, and stipulates specific movement specifications, which brings a very cumbersome task to the test teacher. The existing test mode mainly relies on manual test scoring, which has subjective bias, counting and timing errors, and large-scale testing is prone to work fatigue. The traditional pull-up test requires manual proctoring, which is highly subjective and has inconsistent standards, which makes the test results unfair. In addition, the invigilator needs to print the personal information of each candidate, and then fill in the test results into the form, which is time-consuming and laborious. [0003] At present, some co...

AI Technical Summary

Problems solved by technology

[103310179A] "A Method and System for Optimal Pose Detection Based on Face Recognition Technology" published by Yin Keqi in 2012 involves the positioning of facial features, but it has not been well applied to pull-up instruments.

For the existing pull-up tester, it basically relies on high-precision sensors, which are costly, difficult to install, and high in maintenance costs. For this mode of data sharing based on the PC network alone, it is difficult to update the network data outdoors and storage, and the cost of the PC is high, not easy to carry, and the function of reviewing the test process in the network platform is lacking in the existing pull-up test equipment

In short, the existing pull-up testing equipment has complex structure, poor interaction ability, low degree of automation, weak network data, and high hardware cost. Therefore, the market urgently needs a simple and convenient automatic intelligent testing system

Images