Integrating IoT and WSN for Detection & Tracking
A.Y. Prabhakar1, Akshit Sharma2, Ashish Kumar Singh3, Tushar Sharma4
1Prof. A Y. Prabhakar, E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India.
2Akshit Sharma, E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India.
3Ashish Kumar Singh, E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India.
4Tushar Sharma, E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India.
Manuscript received on January 24, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 29, 2020. | PP: 3751-3757 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6400029320/2020©BEIESP | DOI: 10.35940/ijeat.C6400.029320
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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 project throws light on detection of object and afterwards tracking of the said object using IOT and WSN. All the operations will be performed in real time as capturing of images is a continuous process which is achieved with the help of ESP32CAM mounted on the chassis of the robot and its connection is given to ESP32CAM. Ultrasonic detects object and tracking by robot is done by its right or left movements and backward or forward movements depending on the said object’s displacement. The distance between the robot and the said object is constant which is preserved with the help of ultrasonic sensors. Tracking involves live video feed and trigger of manual mode for detecting the object. Once the object is detected it will be intimated through WSN to base station and through IoT local and central headquarters for further analysis.
Keywords: ESP32CAM, WSN, IoTs.