VIDEOS

Dr. James Crowder
World Com Keynote Speech

As we move forward at an exponential rate at artificially intelligent machines, one of the serious issues is the kind of constraints/objectives/rules/etc. that must be built into the software and firmware that activate and control these entities to ensure they don’t adapt into something unwanted. In short, how to ensure Hollywood’s view of AI robots doesn’t come true.

iScan Phantom
Car Mounted Demo

This video demonstrates the iScan Phantom technology mounted on a passenger vehicle.

      • Compact, single chip RF solution
      • 77 GHz full development kit
      • Digital beam forming
      • Antenna gain: 16.3 dBi; Az: ±33°, El: ±5°
      • Learn more

Applications: Adaptive cruise control, range and speed, automatic emergency braking, and collision avoidance.

iScan Phantom
77 GHz Radar Development Kit

iScan Phantom technology tracking class 1 UAV is shown in this video.

      • 77 GHz full development kit
      • MMIC power output: 12.5 dBm
      • Modular and highly configurable design
      • Learn more

Applications: target tracking of both moving and stationary objects, range and speed, and short and medium range radar applications.

Phantom-Watch
ATAK Simulation

This video demonstrates an ATAK-simulation.

Gesture Recognition
Demo

This video demonstrates how CAES APD’s gesture recognition technology controls several tablet functions.

Infineon 77GHz
Room Occupancy Demo

CAES APD 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 77 GHz MMIC, enables the research and development of a large variety of new applications. APD’s Phantom Dev Kit comes with low-level drives and provides customers with the ability to develop and test complex algorithms using MATLAB.

warp II
capabilities

This video introduces CAES APD’s capabilities and offers information on the Intel ® FPGA-based products designed by CAES APD, like WARP II.

Roar 2 Radar System

CAES APD’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 APD’s expertise with radar system design.

Project Soli

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. CAES APD contributed to this technology.

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. CAES APD is a major contributor to this technology.

94 GHz Landing demo

CAES APD developed software used for 94 GHz flight landings, demonstrated in this video taken at Fresno Yosemite International Airport.

UAV SAA Reaper

This video shows the simulation of a collision avoidance radar and collision avoidance algorithms in action.

Drone Collision Avoidance

The drone collision avoidance video demonstrates simulation of 39 drones in the same airspace with 100 potential collisions. The video also shows the collision avoidance software continually computing changes in position and velocity required to adjudicate all 100 potential collisions.

Radio Frequency (RF) -
Field Programmable Gate Array (FPGA)

This video highlights CAES APD’s exceptional capabilities in RF-FPGA technology. Contact us for more information.

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.

SmartSecurity

CAES APD’s SmartSecurity technology is demonstrated in this video.