Publication | Closed Access
Unmanned Aerial Vehicle for Human Tracking using Face Recognition System
12
Citations
2
References
2019
Year
EngineeringBiometricsHuman TrackingVideo SurveillanceUnmanned VehicleVisual SurveillanceFace DetectionFacial Recognition SystemImage AnalysisFace Recognition SoftwarePattern RecognitionUnmanned SystemEasy JobObject TrackingUnmanned Aerial VehiclesMachine VisionViable SolutionComputer ScienceComputer VisionAerial RoboticsHuman IdentificationEye TrackingUnmanned Aerial SystemsAir Vehicle System
Maintaining surveillance is no easy job, neither is chasing criminals nor looking for kids or elderly people who are lost in crowded areas. This report aims to propose a viable solution for the aforementioned issue. The proposal encompasses the working of an Unmanned Aerial Vehicle (UAV) with an add-on of face recognition software created by us. The process flow includes inputting the face of the person (either blacklisted or lost) into the software followed by drone run to scan for the inputted faces and providing live alerts when a match is found along with their location. The application of this project can be extended to look humans in closed environments- such as exhibition halls, pattern tracking, and public safety surveillance. UAVs are the future and using them for such applications help reduce the human efforts, thereby making things easier and human error-free.
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