AI-Based Drone System for Medical Support in Congested Areas

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Chandrashekhar kumar, T.Muthumanickam

Abstract

Serving the needs of human beings is much more important to us. So, considering how to service the product or provide medicinal support is also very important to reach the destination. While supported by the local field-side forces, it is going through delays and getting affected by the delays in medical treatment. Why this failure in medical support? To avoid this delay, I have come up with a trend in technology in real life to send things like oxygen to the nearby hospital and make it emergency support on an urgent basis. At the same time, we can look for college and industry, food, and grocery items that we can utilize for the same methods. We can make it using AI technology used in the drone system and so by using different scales of sensors and cameras for recognition for bill service for auto-detection and bill payment as well. Nowadays, most people try to use their outside food purchases quickly, so we can get it via air drone easily without delay. This process is unintentionally free and GPS-based, with an advantage system to track the location. And confirmation of customer detection can help to unlock the lock-unlock the drone's locked body, get material, and lock the door once service is received. If there is any unwanted attack, it will be updated with the tracking system. There is an anti-drone system used here. This activity can be avoided.


 

Article Details

How to Cite
Chandrashekhar kumar, et al. (2023). AI-Based Drone System for Medical Support in Congested Areas. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 1953–1959. https://doi.org/10.17762/ijritcc.v11i9.9192
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