Track: Undergraduate Student Paper Competition
Abstract
In the present scenario, drones are the ruling technology. But their usage has been limited because of their high cost. This work aims to fabricate a low-cost UAV Quadcopter system with face recognition for surveillance. The Quadcopter is controlled by a radio transmitter. The surveillance system used consists of an FPV camera, an FPV transmitter, and a receiver. Face recognition is done using OpenCV in python with the help of the Local Binary Pattern Histogram (LBPH) algorithm. The fabricated Quadcopter is capable of identifying a targeted person from a certain range.