EDGE3 DRIVE is the industry’s leading technology to monitor in-cabin driver and occupant behavior. It is not only able to identify, track, and map a driver’s face, but also monitors passenger occupancy.
Available applications: face identification, blink detection, gaze detection, drowsiness detection, expression identification, lip reading, backseat baby monitor, personal objects left in vehicle, and more.
- Driver Assistance
- Driver Safety
- Occupancy Awareness
- Dashboard Control
Parcel Dimensioning – As powerful as a full 3D depth map might be, it is not needed for this particular application. The problem this solution solves is much simpler — calculate the volume a box requires for efficient transfer. As a result, the EDGE3 Mobile Box Dimensioning Solution uses a subset of algorithms from the Vision Analytics Engine to quickly and efficiently calculate dimensions. The result is a light-weight, android app that does not require any customized hardware and does not unnecessarily drain the performance or battery of a mobile delivery device.
- Robotics Control
- Object Dimensioning
The Vision Analytics Engine
The Vision Analytics Engine powers applications that are embeddable and can also be deployed in the cloud. Application verticals range from Automotive, Industrial Inspection, Home Automation, and Surveillance.
Products leveraging multiple channel inputs that are combined using EDGE3’s powerful Deep Learning Platform
EDGE3 is a vision analytics company that develops software only. We build solutions that leverage off-the-shelf stereo and traditional 2D cameras. At the core of the EDGE3 solution, is the concept that a “depth map” (an image that contains information relating to the distance of the surfaces of scene objects from a viewpoint) can be created using a commodity camera. In a stereo configuration, this type of camera is simply comprised of two off-the-shelf video cameras (or webcams), which is exactly the type of cameras currently being integrated into a number of consumer electronic devices.EDGE3 Patents
By comparing the two images taken from a stereo camera using sophisticated algorithms running on the device’s hardware, the distances between objects within the scene can be measured and tracked. Depending on a number of parameters like baseline distance, sensor resolution, pixel pitch, and others, our depth engine can be more accurate than active light source cameras.
As a result, the EDGE3 solution can be embedded in all types of devices, from cars, smart TVs, tablets, smart phones, or even simple web cameras for a small fraction of the cost than currently available depth sensing solutions.
EDGE3 does not have any hardware requirements, which means the technology supports all the ARM and x86 processors, and any VGA camera.
EDGE3 was formed in 2005 to commercialize the computer vision and artificial intelligence technology developed by the world class engineers who built the Embry Riddle Machine Vision Lab, an internationally recognized leader in the development of natural interfaces. Since its inception, EDGE3 has developed a vast library of proprietary computer vision stereo camera algorithms for next generation human-computer interfaces. To date, EDGE3 has been awarded over 25 patents and has dozens more pending.