Drone Technology

The Drone

The future of Unmanned Aerial Vehicles (UAV) or Unmanned Aircraft Systems (UAS)is on a wide spectrum of public and civilian domain applications such as search and rescue, emergency response, environment monitoring, infrastructure inspection, traffic management, early fire detection, forest protection and anomaly detection. That is just a few of the applications for UAV and UAS Drones. UAV is expected to grow to 250,000 by 2035 with most of these deployments expected to be in micro and mini UAV’s. Therefore, there is a critical need for science and technology that will enable the integration of a broad range of UAV designs and applications in the National Airspace System (NAS).

UAV applications fall into two broad classes:
  • Sensing, where sensors on the UAV are used to acquire signals in the operating environment
  • Carrying, where UAV's are used to carry and deliver payloads.
Furthermore, the UAV's are mainly divided into two subclasses:
  • Remote/base based control for navigation: The vehicle is controlled physically by a specialist guiding the vehicle to fly to a specific position. The range is an issue in this case. The system is simplistic in design.
  • Autonomous Designs: The UAV has a on board navigational system. The system is fed the navigation position through the software. The system needs to have advance technology such as obstacle avoidance software.

We are designing Autonomous vehicles. The Company is working on developing the unmanned system which will have a modular approach to system design. The configuration management system, under development, will be able to provide a modular approach to “plug and play” various system components and allow the UAV to be used for varying applications.

Currently, the Company is developing applications for monitoring purposes. Such applications are widely used in domains such as wild life monitoring, construction management, transportation and environmental among others. Further, the system has a unique approach to developing the obstacle avoidance algorithm. We combine the control theory algorithm with the data sensed from various sensors, and imaging algorithm providing a higher accuracy and ability to construct the realistic images of the system in a real time manner. We are further developing the unique algorithm for addressing the prvacy issues due to videos captured by the UAV. Such privacy issues are big concerns to the usage of UAV’s. Our algorithm addresses this enormous challenge.