
Please use this identifier to cite or link to this item:
http://thuvienso.dut.udn.vn/handle/DUT/5511
Title: | Research and develop Computer Vision module for Fossil’s manufacturing Line | Authors: | Lê, Ngọc Hải Dương, Nguyễn Huy Thức Nguyễn, Quang Sang |
Keywords: | Computer vision;Fossil’s | Issue Date: | 2019 | Publisher: | Trường Đại học Bách khoa - Đại học Đà Nẵng | Abstract: | For the Manufacturing line of any company, it’s essential that the products are carefully checked after their fabrication. The same rule is applied to Fossil. For Fossil’s Manufacturing Line, ATE stations play an important role. These stations are in charge of making sure that every watch which is under test operate well before its release to the market The current ATE system used in Fossil’s manufacturing line has been working stably for a period of time. However, as the heart of ATE, Raspberry Pi 3, has to take care of all tasks required, it’s just an natural idea that we can optimize the performance and efficiency of the system, by sharing some important tasks which account a great amount of resource with another module. The main demand of out project is to implement such module to be integrated in ATE system |
Description: | 69 Tr. |
URI: | http://thuvienso.dut.udn.vn/handle/DUT/5511 |
Appears in Collections: | DA.Hệ thống nhúng |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
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2.DA.FA.19.003. Le Ngoc Hai.pdf | Thuyết minh | 11.28 MB | Adobe PDF | ![]() |
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