A CCTV Camera-Based Target Detection and Positioning UAV System

The objective of this paper was to propose a CCTV camera-based target detection and positioning UAV system. The proposed approach is applicable in the tracking and detection of a suspect or a missing person. The need for such a system was that the conventional way of getting hold of a suspect is very time consuming and also not very accurate. It may also lead to the in- charges losing track of the suspect. Basically, the main idea was to combine the advantages and application of the CCTV surveillance system and drones. In the recent scenario, the number of missing persons per day has increased exponentially. In the year 2019, an average of about 200 children was reported to be missing each day. This means approximately 8 children per hour. Apart from this, the number of suspects per year would also lead to a greater count which makes it necessary to come up with an advanced approach to tackle this situation. As for facial recognition we will be using ‘Keras', ‘TensorFlow’ and ‘OpenCV’. This system can also be further enhanced to carry out more tasks as per requirement. To plan the missions of the drone we will be using ‘Mission Planner’ software. The proposed method can ensure in not losing track of the suspect until the officers reach and also make them aware of the challenges ahead of them by giving a real-time video surveillance.