The Silkworm Eggs Separator with the Novel Electronic Computing Unit
Mirzakhodjaev A.1, Mirzakhodjaev B.A.2, Bazarov D.K.3, Dadajanova D.X.4, Bazarov R.K.5
1Anvar Mirzakhodjaev, Рhd of engineering. Head of the laboratory of mechanization of sericulture, Research Institute of Sericulture, Tashkent, Uzbekistan.
2Bakhtiar Anvarovich. Mirzakhodjaev*, Рhd of engineering sciences, Research Institute of Sericulture, Tashkent, Uzbekistan.
3Dmitriy Kamilevich Bazarov, senior researcher,Research Institute of Sericulture, Tashkent, Uzbekistan.
4Dildora Xamidjanovna Dadajanova, junior researcher Research Institute of Sericulture, Uzbekistan.
5Rustam Kamilevich Bazarov, doctoral candidate, Tashkent university of infrormation technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1314-1318 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6038018520/2020©BEIESP | DOI: 10.35940/ijrte.E6038.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The article presents the results of research aimed to develop software and hardware for silkworm separating device by their colors. The device consist of four main blocks. The first one is designed for eggs feeding in portions, the second for the sequence of eggs alignment, the third is to bring these eggs to estimation zone, where the fourth analyzes and separates light eggs from dark ones. Each unit is an element of a queuing system with measured value of the flow parameter. Each unit of the device is treated as a queuing system element with a specified flow parameter value. Based on their equality the conclusion is made about the required performance of the webcam for the analysis block. The scheme of the control device and the algorithm of silkworm’s recognition are given. The Study and analysis showed that the separation of silkworm eggs is better carried out by piece-oriented feeding it to recognition zone, developed on the basis of computer vision using a high-speed web-camera. It is also proposed to use Arduino UNO R3 as a hardware platform. The developed hardware and software for analysis and processing of data on determination of color of eggs of silkworm of the developed device on a stationary platform is described.
Keywords: Silkworm Eggs , Separator, Single-Board Computer
Scope of the Article: Distributed Computing.