Phantom-Watch ATAK Simulation
This video demonstrates an ATAK-simulation.
This video demonstrates CEI’s UAV tracking technology.
iScan Phantom 77 GHz Radar Development Kit – Class 1 UAV Tracking
Infineon 77GHz Room Occupancy Demo
CEI demonstrates the ability to detect the movement and angle of arrival of people occupying a room. New single-chip radar technology, such as Infineon’s 77GHz MMIC, enables the research and development of a large variety of new applications. CEI’s Phantom Dev Kit comes with low-level drives and provides customers with the ability to develop and test complex algorithms using MATLAB.
This video demonstrates how Colorado Engineering’s gesture recognition technology can control several tablet functions.
Gesture Recognition Demo
Roar 2 Radar System
CEI’s Rear Hemisphere Obstacle Avoidance for Rotorcraft (ROAR) is a multi-sensor solution that increases the situational awareness of obstacles behind the aircraft in clear or Degraded Visual Environments (DVEs). ROAR demonstrates CEI’s expertise with radar system design.
This video introduces Colorado Engineering’s capabilities and offers information on the Intel ® FPGA-based products designed by CEI, like WARP II.
Common-Airborne Sense & Avoid (C-ABSAA)
This U.S. Air Force video explains how Sense and Avoid (SAA) technology contributes to the safe integrated flight of unmanned aerial vehicles (UAVs) in national/international air space, which is a major DoD objective. Colorado Engineering is a major contributor to this technology.
Project Soli is developing a new interaction sensor using radar technology. The sensor can track sub-millimeter motions at high speed and accuracy. It fits onto a chip, can be produced at scale and built into small devices and everyday objects. Colorado Engineering contributed to this technology.
Radio Frequency (RF)-Field Programmable Gate Array (FPGA)
Colorado Engineering developed software used for 94 GHz flight landings, demonstrated in this video taken at Fresno Yosemite International Airport.
94 GHz Landing
Critical Asset ID Feasibility Speed Test
This video shows the identification of multiple assets in the field of view. The video was fed through the Classifier in real time and processed at approximately 15 fps. The Classifier recognizes cars, pedestrians, stop lights, stop signs and many other assets (approximately 80). Contact us for more information.
This video displays a first-hand example of CEI’s object profiling technology.
CV ObjectProfiling 1
CEI’s SmartSecurity technology is demonstrated in this video.