Abstract
This paper is dedicated to implementing a feedback control system for a UAV equipped with inertial sensors with a focus on Vertical Take-off and Landing and detect the number of people in a given frame using machine learning. The flight controller board has a feedback PID (Proportional-Integral-Derivative) algorithm code burned onto it. The PID controller has an initial set point and the readings from the gyroscope and accelerometer are continuously fed back to the PID. The readings that indicate the inclination along any arm of quadcopter will generate an error after comparing with the initial point and then PID will generate a corresponding output to eliminate the error and balance the quadcopter. Finally, the camera transmits the video to the base station (Laptop) and the machine learning algorithm in the laptop gives the number of people in a frame with heat maps and surveillance video.
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Kalirathinam, K., Rathod, H., Agrawal, Y., Parekh, R. (2020). Real-Time Crowd Detection and Surveillance System Using an Arduino Based Flight Controller for Quadcopters. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_100
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DOI: https://doi.org/10.1007/978-3-030-42363-6_100
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