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Object Detection, Localization, and Tracking

Opto-Knowledge Systems Inc (OKSI) develops real-time object detection, recognition, identification, localization, and tracking solutions for UAV-UGV platforms. We leverage state-of-the-art sensors and algorithms (e.g., deep learning) to provide cutting edge capabilities for real-time systems big and small alike! We provide both passive (e.g., imagery) and active (e.g., LIDAR) based solutions and can develop custom solutions for unique sensors and objects of interest to our clients.

We develop turn-key solutions, including:

  • Real-time object detection, recognition, identification, geolocation, and tracking for small UAS platforms using visual and thermal camera systems for close-range objects.
  • Long-range passive object detection using thermal imagery out to 3,000 meters.
  • Closed-loop target acquisition, tracking, and terminal guidance for aerial platforms.
  • High-accuracy target geolocation via ATR, DTED, and INS fusion.
  • A2AD target geolocation capabilities for aerial platforms operating in denied environments.
  • Bayesian multi-target tracking solutions
We develop custom turn-key solutions to meet each of our customers’ unique needs. Contact us today to see how our solutions can help you!

Related Publications

  1. HolmesParker, C., Barrios, L., Waree, N., Gat, N., “Automatic Target Recognition using Deep Learning,” 2019 Meeting of the Military Sensing Symposia (MSS) Specialty Committee on Passive Sensors, 25-28 February, 2019, Orlando, FL.
  2. HolmesParker, C., Friedman, S., Waree, N., Gat, N., “Real-Time ATR on sUAS via Deep Learning,” 2018 Meeting of the Military Sensing Symposia (MSS) Specialty Committee on Passive Sensors, 19-22 March, 2018, Gaithersburg, MD. BEST PAPER AWARD.
  3. HolmesParker, C., Gat, N., "UAV/MAV Based Day/Night Thermal IR Target Geolocation," Military Sensing Symposium Passive Sensors, 2014.
Coordinated survey missions.

Example ATR Frame 1
Examples of real-time sUAS ATR with masking.

Object identification for human target.

   
   

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