• ISSN: 2349-6002
  • UGC Approved Journal No 47859
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Automated Object Tracker

  • Unique Paper ID: 155404
  • Volume: 9
  • Issue: 1
  • PageNo: 776-782
  • Abstract:
  • In recent years, drones are used for security purposes, monitoring purposes, and Aerial photography. But capturing pictures and recording videos using drones requires precise manual control and also needs manpower. Hence we proposing this “Automated Object Tracker” project. The main objective of this project is to detect, recognize and track objects precisely using a drone in an automated manner. The following techniques are important in Automatic Object Tracking: Detection, Recognition, and Tracking. Hence we use the Open CV method for the Detection and Face Recognition module for recognition purposes using Python. By programming motion controls, the drone can stabilize its movements using a flight controller according to the detected object. The detection and tracking of the object can be monitored through mobile or laptop.
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  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 1
  • PageNo: 776-782

Automated Object Tracker

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8.01 (Year 2024)
UGC Approved
Journal no 47859

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