Design of Aerial Probe for 3D Mapping of AQI Index of Carbon Monoxide Levels
Aditya Chaturvedi1, Shaleen Jain2, S. Indu3

1Aditya Chaturvedi*, Department of Electronics and Communication Engineering, Delhi Technological University, New Delhi, India.
2Shaleen Jain*, Department of Electronics and Communication Engineering, Delhi Technological University, New Delhi, India.
3Prof. S. Indu, Department of Electronics and Communication Engineering, Delhi Technological University, New Delhi, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 2953-2960 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8387038620/2020©BEIESP | DOI: 10.35940/ijrte.F8387.038620

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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: With the onset of Industry 4.0, automation and its applications have led to an increase in the product development domain. Numerous products have been developed involving wireless connectivity, sensors and embedded systems that lead to easiness in data visualization and computation. The market of automation has just started to be penetrated by start-ups and various established multinational companies, leading to an increased focus on the future of integration of Artificial Intelligence with hardware and networking. With current focus on sustainable development and climate change, our idea was to develop a product which could help private as well as government agencies in mobile air pollution detection over large neighbourhoods and cities. The purpose of this paper is to define the design and development of a radio frequency remote controlled aerial probe which aims at providing real-time telemetry data to a wireless base station, along with the capabilities of 3D mapping the concentration of Carbon Monoxide (CO) particles in the atmosphere and the contaminants dependencies on air temperature and pressure. We also aim at testing the accuracy of the particulate contaminant sensor by comparing the collected data value with the given government database, in order to calculate the percent error.
Keywords: Aerial Probe Design, AQI Index, Climate Change, Embedded Systems, Wireless Sensor Integration
Scope of the Article: 3D Printing.