Embedded instrument code disc character automatic identification system and method

Abstract

The invention discloses an embedded instrument code disc character automatic identification system and method. The automatic identification system comprises an embedded microprocessor, an image sensor, a camera module, a TTL-USB to serial port module, a storage module and a power supply module. According to the invention, instrument code disc images under different angles and illumination conditions are adopted through the camera module, and image character areas are positioned and segmented; the obtained single code disc character size is normalized, and image shift processing is performed by using a data enhancement algorithm to obtain a whole character sample set and a double-half character sample set; a lightweight convolutional neural network is constructed, and the whole character sample set and the double-half character sample set are input into the neural network for training in a classified manner; and the trained network model is quantized, the quantized network model is deployed to a machine vision system, a single code disc character region is positioned, classification identification is carried out on single code disc characters in the region, and an identification result is displayed. Water level data monitoring and an image identification technology are combined, automatic identification of instrument characters is achieved, and the identification precision is high.

Description

technical field [0001] The present invention relates to instrument code disc character recognition in the field of machine vision and deep learning, in particular to an embedded instrument code disc automatic character recognition system, and the present invention also relates to an embedded instrument code disc automatic character recognition method. Background technique [0002] With the rapid development of science and technology, human life is developing towards intelligence and automation. As a branch of artificial intelligence, machine vision is rapidly developing. The machine vision is to collect images through visual sensors, and after acquisition, the image processing system performs image processing. and identification. [0003] At the same time, image recognition technology has also been vigorously developed and applied in various fields. License plate recognition, face recognition, QR code recognition, etc. have entered people's lives. The use of image recognit...

AI Technical Summary

Problems solved by technology

[0005] Secondly, there are still many problems in the existing methods for character positioning and digital recognition of instrument dials

For example, the recognition method based on character segmentation and template matching cannot effectively deal with oblique images, and requires high-resolution input images. This method is greatly affected by environmental noise.

In addition, at present, many high-precision digital instruments also have the problem of half-character recognition, which greatly increases the difficulty of character recognition, and how to train and recognize characters is also a technical problem that needs to be solved urgently

[0006] Furthermore, when using an embedded image recognition device in a water level monitoring environment, the conventional image recognition model is large and complex and difficult to be deployed and applied, so it is crucial to choose a small and efficient image recognition model

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