Suhartono, Fredric Novando and Rusyadi, Rusman (2020) Object Dimension and Weight Detection and Classification System for Cargo. Bachelor thesis, Swiss German University.
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Abstract
By utilizing computer vision, microcontroller, camera sensor, and weighing sensor, it is possible to achieved an automated system to measure an object size and weight at the same time in a short period. The development of a design for a simple and customizable hardware system and combined with a reliable and simple management system interface for cargo industry have been done by an attempt of minimizing or eliminating unimportant effort based on the common problem occurring in the industry. By improving the system utility, it is suggested that it will improve the overall efficiency in having the work done with less effort and resources. The key in the development of the system and to achieve a better result from time to time is to have a data record from the previous work done to predict the action that have to be taken to improve the result in the future.
| Item Type: | Thesis (Bachelor) |
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| Uncontrolled Keywords: | OpenCV; Camera Vision; Cargo; Automatic Measurement; Industry; Management System; Object Measurement |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Sensor Networks |
| Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
| Depositing User: | Faisal Ifzaldi |
| Date Deposited: | 02 Nov 2020 14:10 |
| Last Modified: | 02 Nov 2020 14:10 |
| URI: | http://repository.sgu.ac.id/id/eprint/1944 |
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