Unmanned Aerial Vehicle Surveillance and Monitoring System Based on IoT

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 ch eap and easy to use surveillance UAV system.