An application of artificial intelligence for counting empty packaging Case study of ABC Warehouse
รหัสดีโอไอ
Creator Treesukol Sittipanya
Title An application of artificial intelligence for counting empty packaging Case study of ABC Warehouse
Contributor Tanayot Kulthon
Publisher Faculty of Management Science Nakhon Pathom Rajabhat University.
Publication Year 2568
Journal Title Journal of Management Science Nakhon Pathom Rajabhat University
Journal Vol. 12
Journal No. 1
Page no. 80-90
Keyword Artificial Intelligence, Counting, Empty packaging
URL Website https://so03.tci-thaijo.org/index.php/JMSNPRU/issue/view/18024
Website title https://so03.tci-thaijo.org/index.php/JMSNPRU/index
ISSN 2392-5817
Abstract ABC Warehouse is a warehouse that is a collection and distribution center. One of the key processes, the process of returning empty packaging to suppliers, is a task that requires constant control and monitoring. Because there is a lot of empty packaging. As a result, in the counting process, it takes a long time to count and there are errors in counting. Therefore, the application of artificial intelligence technology has 2 objectives (1) To reduce time in the empty packaging counting process. (2) To increase the accuracy rate in counting empty packaging. Its related learning activities include object detection, deep learning and image processing. The research results were obtained after artificial intelligence was applied to count empty packaging 360 times in a period of 1.39 hours. It was found that the working time in the counting process compared to manual counting was reduced from 30 minutes to 10 minutes and the average counting accuracy rate could be increased by up to 7 percent.
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