Meter Recognition And Reading System Based On Machine Car
| Autor: | Wang Xingbo, Chen Junyan, Zhan Pufan, Tang Yongqing, Wang Xiaolong, Gao Jie |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Deep learning media_common.quotation_subject Scale-invariant feature transform 020206 networking & telecommunications 02 engineering and technology Field (computer science) Hough transform law.invention law Pointer (computer programming) Reading (process) 0202 electrical engineering electronic engineering information engineering Factory (object-oriented programming) 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Automatic meter reading media_common |
| Zdroj: | CIS |
| Popis: | In the field of automatic inspection and factory quality inspection, it is often necessary to analyze the readings of many different types of meters to understand the working status of the factory. Therefore, it is particularly important to get an accurate reading. To solve this problem, an automatic meter reading system based on core technologies such as image recognition, deep learning, internet of things and intelligent machine car was designed. We adopted YOLOV3, SIFT, FLANN, Hough transform and other efficient algorithms to achieve the function of reading meter. Our system is competent for the reading of digital meter as well as pointer meter. Experiments show that our system has a good effect. |
| Databáze: | OpenAIRE |
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