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@article{204443,
        author = {Mr. Kamble Kiran Ram and Prof. Londhe Dhanashri Rohidas},
        title = {SIMULATION-BASED AUTONOMOUS DRONE USING PYTHON AND COMPUTER VISION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {2850-2857},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204443},
        abstract = {Unmanned Aerial Vehicles (UAVs) commonly known as drones, have gained significant importance in applications such as surveillance, agriculture, disaster management, and delivery systems. This paper presents the design and implementation of a simulation-based autonomous drone using Python programming and computer vision techniques. The proposed system utilizes the pysimverse simulation environment to control a virtual drone capable of autonomous navigation, waypoint tracking, and object detection. OpenCV is employed for real-time image processing and detection tasks. The system demonstrates efficient performance in a controlled simulation environment, reducing the need for expensive hardware testing. The results validate that the integration of artificial intelligence with UAV systems can significantly enhance autonomy and operational efficiency.},
        keywords = {},
        month = {June},
        }