Equipment identification system and method

Abstract

The invention discloses an equipment identification system and method in the technical field of machine vision. The technical problem that in the prior art, due to the fact that the factory environment is severe, many devices exist, multiple devices of the same type often exist, many classic visual detection algorithms are difficult to be directly applied to industrial scenes, and consequently the recognition accuracy of the devices in images is not high is solved. The method comprises the following steps: a visible light source periodically flickering to send device ID information represented by the brightness of the visible light source; the equipment identification device obtaining continuous image frames containing active equipment labels; the equipment identification device analyzing the equipment ID information according to the continuous image frames to identify the equipment ID; and realizing mapping of the equipment image and the equipment entity according to the equipment ID.

Description

technical field [0001] The invention relates to an equipment identification system and method, belonging to the technical field of machine vision. Background technique [0002] With the in-depth application of the Internet of Things technology in the industrial field, many industries have proposed the goal of building a digital factory, using the Internet of Things technology to collect real-time production process data, optimize the production process, and improve production efficiency. However, in actual engineering implementation, due to the lack of measurement data and incomplete measurement parameters of the online monitoring device, only part of the data can often be obtained, resulting in insufficient on-site 3D visualization, and the actual effect is not ideal. In this case, if the video stream data is used as a supplementary source of on-site information, and the real-time status of each equipment in the workshop is displayed based on the remote client, it will prov...

AI Technical Summary

Problems solved by technology

Due to the harsh environment of the factory and the large number of devices, there are often multiple devices of the same model. It is difficult for many classic visual detection algorithms to be directly applied to industrial scenarios, resulting in a low recognition accuracy for devices in images.

Images