The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2019
Session ID : 1A1-M09
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Development of Image Recognition System Using Machine Learning Image Recognition System
*Mikihiro SAITOJunichiro TAHARATetsu KATOYamato KAWAMURA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

After the Great East Japan Earthquake, “Isoyake” has occurred in Tohoku. A large amount of sea urchin occurred due to the “Isoyake”, algae suffered from damage and suffered severe fishing damage. As a countermeasure for this, we are developing a system to discover sea urchin using small ROV and to remove and recover sea urchin. In this paper, we carried out fundamental research to develop an image recognition system to be mounted on a small ROV. We also constructed a real-time image recognition system for practical application. In image recognition, machine learning was performed using OpenCV. As a result, we were able to recognize sea urchins. Also, we could construct a network for real - time image recognition.

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© 2019 The Japan Society of Mechanical Engineers
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