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@article{186513,
        author = {Mr. Prathamesh Raut and Nikita Madwal},
        title = {AI and FPV Drones: A New Horizon},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {328-333},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186513},
        abstract = {This research paper explores the development and evaluation of an AI-enhanced First Person View (FPV) drone system aimed at improving real-time image processing for autonomous navigation and situational awareness. The study investigates how the integration of high-resolution imaging and computer vision algorithms can enhance the drone’s ability to interpret dynamic environments, with a particular focus on object detection, tracking, and obstacle avoidance. To address the challenges of latency and system responsiveness, the research assesses the effectiveness of a low-latency communication framework in delivering uninterrupted live video feeds and telemetry data. Additionally, the system’s autonomous flight capabilities — including AI-guided waypoint navigation and adaptive path planning — are examined to highlight the operational flexibility of the proposed platform in real-world applications such as surveillance, environmental monitoring, and search and rescue. This work contributes to the growing field of intelligent aerial systems by demonstrating how the fusion of AI and drone technology can improve the reliability and efficiency of real-time decision-making in complex scenarios.},
        keywords = {AI, Image Processing, FPV Drone, Autonomous Navigation, Environmental Monitoring, Obstacle Avoidance, Surveillance.},
        month = {},
        }