Indarto, Reyner Raynaldi and Rusyadi, Rusman (2019) Kitchen Utensils Detector Using Deep Learning Algorithm. Bachelor thesis, Swiss German University.

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Abstract

This thesis describes an object recognition vision system for automatic kitchen utensils sorting. This vision system will work on tensorflow as its object recognition framework, and will be implemented to the delta robot. This vision system are able to get information about name of the object, position, and orientation. After the process is done this information will be sent to delta robot for pick and place process using ROS. In the end this vision system are able to perform real time object recognition process and able to give fundamental information for pick and place process to delta robot,

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Custom Object Recognition ; ROS ; Tensorflow Model Training and Testing ; Vision System for Automatic Sorting
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery (General)
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Adityatama Ratangga
Date Deposited:	21 May 2020 15:19
Last Modified:	21 May 2020 15:19
URI:	http://repository.sgu.ac.id/id/eprint/689

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