Embedded Vision Based Cost Effective Tele-Operating Smart Robot
Omkar S. Vaidya1, Ravindra Patil2, Gayatri M. Phade3, Sanjay T. Gandhe4
1Omkar S.Vaidya, Department of Electronics & Telecommunication Engineering, Sandip Institute of Technology & Research Centre, Nashik, Savitribai Phule Pune University, (Maharashtra), India.
2Ravindra Patil, Department of Electronics & Telecommunication Engineering, Sandip Institute of Technology & Research Centre, Nashik, Savitribai Phule Pune University, (Maharashtra), India.
3Dr.Gayatri M. Phade, Department of Electronics & Telecommunication Engineering, Sandip Institute of Technology & Research Centre, Nashik, Savitribai Phule Pune University, (Maharashtra), India.
4Dr.Sanjay T. Gandhe, Department of Electronics & Telecommunication Engineering, Sandip Institute of Technology & Research Centre, Nashik, Savitribai Phule Pune University, (Maharashtra), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1544-1550 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5946058719/19©BEIESP
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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: In twenty-first century, robots have taken an important place not only in daily human life but also in different working fields. The computer vision has come to be an extensive area of research for real-time visual applications by connecting with an embedded system. The system is considered to be fine only when it is cost effective and have a good accuracy. Todays in score of fields require smart detection and recognition of objects, collect information from surroundings and perform different tasks such as security system, vehicle surveillance navigation, autonomous robot navigation etc. This paper represents a cost effective robot which is able to recognize different faces, speak their identities using python TTS and track the human smartly with obstacle avoidance feature in real-time. Here OpenCV library for performing different imaging operations and python language at its backend with multi-threading concept is used. Sensors are used to read surrounding parameters and the Wi-Fi (Wireless Fidelity) is the wireless medium to control robot from remote location via android mobile phone by the user. Alexa voice service is used which actually gave liveliness to the robot and is the great experience of intercommunication and joyful task.
Keyword: Embedded Vision, Face Recognition, Human Tracking, Python TTS.
Scope of the Article: Aspect-Based Software Engineering.