Low power consumption meter remote self-help meter reading terminal and method based on OCR recognition

A technology of a meter reading terminal and a meter reading method, applied in the field of OCR artificial neural network character recognition, can solve the problems of labor consumption, complexity and difficulty, and achieve the effects of reducing hardware energy consumption, reducing effective power consumption, and reducing ineffective power consumption

Inactive Publication Date: 2017-06-20
广州优库电子有限公司
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Problems solved by technology

However, traditional image recognition methods mostly use manual extraction of image features. This process has a lot of complexity and difficulty, and often consumes a lot of manpower.

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  • Low power consumption meter remote self-help meter reading terminal and method based on OCR recognition
  • Low power consumption meter remote self-help meter reading terminal and method based on OCR recognition
  • Low power consumption meter remote self-help meter reading terminal and method based on OCR recognition

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Embodiment Construction

[0056] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be further described in detail below in conjunction with the drawings and specific embodiments.

[0057] Such as figure 1 As shown, the remote self-service meter reading terminal for low-power meters of the present invention based on OCR identification includes an optical image acquisition module, an OCR intelligent identification module, an integrated circuit power management module, a communication module, and a data management server; the optical image acquisition module includes Several image acquisition devices, the integrated circuit power management module includes a low-power intelligent processing chip, the communication module includes a 2G / 3G / 4G communication unit, a WIFI communication unit, an Ethernet interface unit, and a Bluetooth communication unit, and the data ma...

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Abstract

The invention discloses a low power consumption meter remote self-help meter reading terminal and method based on OCR recognition. The self-help meter reading terminal comprises an optical image acquisition module, an OCR intelligent recognition module, an integrated circuit power supply management module, a communication module and a data management server. The self-help meter reading method comprises the steps that the optical image acquisition module acquires the optical image information of a measured meter and sends the information to the OCR intelligent recognition module; according to a pre-processed character image, the OCR intelligent recognition module extracts character features and sends the character features to the data management server; and the OCR character recognition module of the data management server recognizes the character features to acquire the display result of the measured meter, and the character features are stored and backed up. According to the invention, remote meter data acquisition is realized, and the low power consumption meter remote self-help meter reading terminal and method have the advantages of low power consumption, intelligent recognition, remote data transmission and high recognition rate.

Description

technical field [0001] The invention relates to the technical field of OCR artificial neural network character recognition, in particular to a remote self-service meter reading terminal and method for low-power consumption meters based on OCR recognition. Background technique [0002] Optical Character Recognition (OCR) is to recognize optical characters through image processing and pattern recognition technology, and is an important direction in the research and application of artificial intelligence recognition technology. The identification module of this meter reading terminal mainly adopts artificial neural network for identification. [0003] Artificial Neural Network (ANN) is a mainstream interdisciplinary subject. Inspired by the structure and information processing methods of the biological neural network system, it aims to explore the mechanism of human brain processing, storing and searching information, clarify the mechanism of human brain function, and establis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/40G06K9/46G06K9/32G06T5/00G06T7/13
CPCG06T5/00G06T2207/20032G06T2207/20081G06T2207/20084G06T2207/20192G06V10/24G06V30/153G06V10/30G06V10/50G06V30/10
Inventor 张永俊张磊何昌银
Owner 广州优库电子有限公司
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