Development of intelligent storage management system with OpenCV technology.

• Main Authors: Yeh Chiao-Ming, 葉焦明
• Other Authors: Miao Hsin-Yuan
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/7jj7rq

碩士 === 東海大學 === 電機工程學系 === 107 === In the related industries of manufacturing, most of the management in warehousing is managed by people. Automatic warehousing aside , more than 99.5% of companies in Taiwan are managed by manpower. When a company's products are numerous and complex, they often rely on experienced operators to handle. If someone take time off, no one can help to take care his work in a short time. This research is intended to solve mistakes of traditional manual identification and time waste. The purpose of this research is to develop a new type of warehouse operation management. This research include the latest identification technology ex, Python, OpenCV, Tensorflow and more economical methods to quickly identify and effectively improve the traditional storage operation mode.