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Now a day Internet of Things (IoT) technologies based unmanned aerial vehicles (UAVs) find use in many areas such as Industrial
surveillance, transportation , health care, military safety etc. This research paper aims to propose a new system for surveillance
and monitoring using drones equipped with artificial intelligence (AI) controls and IoT technology. In addition, there are a number
of advantages for UAVs communication when the Internet of Things (IoT) could integrated with cloud computing environments.
Many IoT applications deploy IoT devices in rural and distant locations without access to a ground network infrastructure. The
proposed systems enabled by UAVs is aerial scene classification for effective image representation of monitoring. As UAVs has
the potential to revolutionize, the way surveillance is conducted. The proposed system utilizes high-performance aerial vision,
both day and night, with the help of high-definition and infrared sensors, to collect still pictures, motion pictures, or real-time
videos of objects like people, cars, or certain places. Additionally, the proposed system utilizes object and human body recognition
for monitoring the sites, making it more efficient and effective than traditional surveillance methods. The UAVs can operated
using ATMega328p for the main flight controller and is equipped with a camera and a Raspberry Pi as a processing unit for image
processing and data uploading. The proposed IoT based UAVs model outperformed the existing state-of-the-art methods and
achieved maximum accuracy as discussed in result section. Such type of system is very much useful in Military operations.
Although the UAV is a multifunctional tool, we have solely assigned it to military uses. Instead, we have utilized it as a set of
networks.
Novelty & Objective: Our paper proposed Surveillance and monitoring are two of the primary uses for IoT-based unmanned
aerial vehicles (UAVs) and are crucial to many industrial, military, and public safety applications. With much greater mobility and
flexibility than conventional sensing platforms, IoT-based UAVs can function as aerial sensor networks to gather more
comprehensive and consistent data. This is made possible by cutting-edge technology and intelligent control techniques. The main
objective of work is to provide cheap and easy to use surveillance UAV system
Keywords: Artificial Intelligence; Aerial Vision; Infrared Sensors; Line Monitoring; Site Monitoring; ATMega328p; Raspberry Pi; Internet of Things.
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