Applications
We have a vision of a world filled with intelligent machines that augment human abilities. Our mission is to teach these machines to see.
Depth
VIDAS delivers tens of millions of depth measurements per second without LiDAR or radar.
Scene Understanding
VIDAS identifies every object in the scene at the same time as measuring depth, improving performance on both tasks.
Position
VIDAS uses what it knows about the 3D structure of the world to track its own position as the system moves, without the help of GPS.
Defense
Next generation combat vehicles require 360 situational awareness and long-range 3D sensing, but they cannot emit a signature. Compound Eye has won five Direct to Phase 2 SBIR awards from the US Department of Defense to adapt VIDAS for the most challenging environments of all.
Passive 3D sensing in total darkness and in the presence of smoke and other obscurants
Ranging out to multiple kilometers
Meter-accurate positioning without GPS
Heavy Equipment
The number of people willing to take on dull, dirty, and dangerous jobs in construction, mining, and agriculture is declining every year but the amount of work is increasing. VIDAS enables guarded teleoperation and fully autonomous operation of heavy equipment for a fraction of the cost of systems based on LiDAR.
Dense 360 perception for unstructured, off-road environments
See through smoke and dust
Augment and correct GPS without a cellular connection
Automotive
Car buyers love the safety and convenience of Level 2 advanced driver assistance systems but automakers have reached the limit of what is possible with single cameras and radar. VIDAS delivers the range and accuracy of LiDAR for a fraction of the cost and complexity.
True 3D measurements at 20 Hz using conventional cameras
Range out to 200 meters
Accuracy within 1% of LiDAR
Demo Gallery
See Our Technology In Action
Compound Eye's VIDAS technology leverages automotive-grade cameras and an embedded computer to perform tasks like depth measurement, scene understanding, and positioning in real time.
