Automatic management system implementation based on image recognition technology

碩士 === 樹德科技大學 === 電腦與通訊系碩士班 === 107 === With the development of artificial intelligence, it is a trend to combine artificial intelligence with various business and industries, such as automatic identification of production status in the image, logistics and transportation control, etc. The original...

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Main Authors: Wei-Lin Tseng, 曾韋璘
Other Authors: 施順鵬
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/6yu3ch
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spelling ndltd-TW-107STU056520222019-11-29T05:36:20Z http://ndltd.ncl.edu.tw/handle/6yu3ch Automatic management system implementation based on image recognition technology 基於影像辨識技術之自動化管制系統建置 Wei-Lin Tseng 曾韋璘 碩士 樹德科技大學 電腦與通訊系碩士班 107 With the development of artificial intelligence, it is a trend to combine artificial intelligence with various business and industries, such as automatic identification of production status in the image, logistics and transportation control, etc. The original use of manpower control may cause some negligence which including the wrong place of the goods and the inspection of the work list according to personal factors. In order to improve the impact caused by human error, this study establishes an automatic control system based on image recognition technology. This system combines Internet of Things technology, computer vision technology, artificial intelligence technology, computer program technology, and data processing technology. After capturing the environmental image, the target image is identified and compared by the Internet of Things, eventually display and alert the results. Automated control will is achieved by reducing the chances of factory personnel being lost due to personal factors. 施順鵬 2019 學位論文 ; thesis 47 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 樹德科技大學 === 電腦與通訊系碩士班 === 107 === With the development of artificial intelligence, it is a trend to combine artificial intelligence with various business and industries, such as automatic identification of production status in the image, logistics and transportation control, etc. The original use of manpower control may cause some negligence which including the wrong place of the goods and the inspection of the work list according to personal factors. In order to improve the impact caused by human error, this study establishes an automatic control system based on image recognition technology. This system combines Internet of Things technology, computer vision technology, artificial intelligence technology, computer program technology, and data processing technology. After capturing the environmental image, the target image is identified and compared by the Internet of Things, eventually display and alert the results. Automated control will is achieved by reducing the chances of factory personnel being lost due to personal factors.
author2 施順鵬
author_facet 施順鵬
Wei-Lin Tseng
曾韋璘
author Wei-Lin Tseng
曾韋璘
spellingShingle Wei-Lin Tseng
曾韋璘
Automatic management system implementation based on image recognition technology
author_sort Wei-Lin Tseng
title Automatic management system implementation based on image recognition technology
title_short Automatic management system implementation based on image recognition technology
title_full Automatic management system implementation based on image recognition technology
title_fullStr Automatic management system implementation based on image recognition technology
title_full_unstemmed Automatic management system implementation based on image recognition technology
title_sort automatic management system implementation based on image recognition technology
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/6yu3ch
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