Kitchen utensil detector using deep learning algorithm

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Kitchen utensil detector using deep learning algorithm

Indarto, Reyner Raynaldi - Personal Name; Rusyadi, Rusman - Personal Name;

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.

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B02971 (Rack Thesis) Available

Detail Information

Series Title: -
Call Number: 2971
Publisher: : Swiss German University., 2019
Collation: -
Language: English
ISBN/ISSN: -
Classification: NONE
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): MT
ROS
Custom Object Recognition
Tensorflow model training and testing
Vision system for automatic sorting
Specific Detail Info: -
Statement of Responsibility: -

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