dc.contributor.advisor	Holada Miroslav, Ing. Ph.D. :54740	cs
dc.contributor.author	Rode, Anoop Mohan	cs
dc.contributor.referee	Cvejn Jan, doc. Ing. Ph.D. :65498	cs
dc.date.accessioned	2024-12-16T06:11:31Z
dc.date.available	2024-12-16T06:11:31Z
dc.date.committed	14.5.2024	cs
dc.date.defense	11.6.2024	cs
dc.date.issued	2024-06-11
dc.date.submitted	20.10.2023	cs
dc.description.abstract	This research presents an interdisciplinary methodology for the design, implementation and development of the robotic gesture control system integrating with computer vision, mechanical principles, and electronics circuitry. The interdisciplinary approach of the project involves the collaboration of mechanical, computer and electrical electronics domains. The circuit design architecture has generic components such as ESP32 WROOM32 Module and MG996R Servo Motor. This system architecture has been developed to obtain the precise angular control of servo motors with the help of PWM signals generated by the ESP32 module. The interfacing and configuration step of the ESP32 WROOM Module involves firmware development using Arduino IDE and leading communication with peripheral devices via UART protocol. Serial communication has been established between C++ running on ESP32 and Python script on Laptop. Computer Vision Algorithm allows us to detect and track the objects desired objects in footage. The Libraries used for gesture recognition by using MediaPipe & OpenCV Libraries. Over the pre-processed footage with the help of libraries, I have implemented a custom post-processing landmark detection technique for angular calculation via vector approach. The mechanical structure design and fabrication involves Modelling and 3D printing of the parts. After 3D printing involves the assembly of parts and calibrating with servo angular motion for operating precisely. The demonstrated methodology connects engineering principles with robotic control strategy to obtain a robust control algorithm using computer vision to operate finger movement precisely. This project can be the promising for the applications such as prosthetics Hands and HMI applications on unmanned fields.	cs
dc.description.abstract	This research presents an interdisciplinary methodology for the design, implementation and development of the robotic gesture control system integrating with computer vision, mechanical principles, and electronics circuitry. The interdisciplinary approach of the project involves the collaboration of mechanical, computer and electrical electronics domains. The circuit design architecture has generic components such as ESP32 WROOM32 Module and MG996R Servo Motor. This system architecture has been developed to obtain the precise angular control of servo motors with the help of PWM signals generated by the ESP32 module. The interfacing and configuration step of the ESP32 WROOM Module involves firmware development using Arduino IDE and leading communication with peripheral devices via UART protocol. Serial communication has been established between C++ running on ESP32 and Python script on Laptop. Computer Vision Algorithm allows us to detect and track the objects desired objects in footage. The Libraries used for gesture recognition by using MediaPipe & OpenCV Libraries. Over the pre-processed footage with the help of libraries, I have implemented a custom post-processing landmark detection technique for angular calculation via vector approach. The mechanical structure design and fabrication involves Modelling and 3D printing of the parts. After 3D printing involves the assembly of parts and calibrating with servo angular motion for operating precisely. The demonstrated methodology connects engineering principles with robotic control strategy to obtain a robust control algorithm using computer vision to operate finger movement precisely. This project can be the promising for the applications such as prosthetics Hands and HMI applications on unmanned fields.	en
dc.format	58 pages. (56,570 characters)	cs
dc.identifier.uri	https://dspace.tul.cz/handle/15240/175853
dc.language.iso	AN	cs
dc.subject	Computer Vision	cs
dc.subject	ESP32 Wroom	cs
dc.subject	3D Printing	cs
dc.subject	Hand Gesture Recognition	cs
dc.subject	Bionic Hand Motion and Motion Control	cs
dc.subject	HMI	cs
dc.title	Robotická paže ovládaná lidskou rukou pomocí zpracování obrazu	cs
dc.title	Human Hand-Gesture Controlled Robotic Arm by Image Processing	en
dc.type	diplomová práce	cs
local.degree.abbreviation	Navazující	cs
local.identifier.author	M22000215	cs
local.identifier.stag	46544	cs

Robotická paže ovládaná lidskou rukou pomocí zpracování obrazu

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