EDGE3 offers the most versatile, robust and scalable vision analytics platform that enables natural interfaces, and advanced machine intelligence.

Applications

EDGE3’s software applications are embeddable and can also be deployed on a “vision- as- a- service” basis, using existing cloud infrastructure.

Software

The Vision Analytics Engine combines world class depth mapping capability with state of the art artificial intelligence technology to deliver unprecedented analytics across multiple vertical segments.

Technology

EDGE3 develops technology that doesn’t require any custom or exotic hardware, and simply uses either one or two off-the-shelf (embeddable) camera sensors, depending on the application.

 

 

 

 

The Vision Analytics Applications

Applications

  • Driver Assistance
  • Driver Safety
  • Occupancy Awareness
  • Dashboard Control

Advanced Driver Assistance Systems (ADAS) are systems developed to automate, adapt, and enhance vehicle systems for safety and better driving.  Safety features are designed to assist drivers, and help avoid collisions by offering technologies that alert the driver to potential problems, mitigate distractions, or avoid collisions by implementing safeguards and taking over control of the vehicle.

Gesture recognition, face mapping and identification, drowsiness detection, expression identification, heart rate monitoring, even lip reading are all applications that EDGE3 delivers to the automotive industry.

The Vision Analytics Applications

Applications

  • Robotics Control
  • Object Dimensioning

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.

The Vision Analytics Applications

Applications

  • Home Automation
  • Scene Intelligence
  • Surveillance

Smart surveillance is an emerging term used throughout the surveillance industry to describe the extraction of usable information from sensors and video.  With the introduction of pattern recognition software and automated signal analysis, a tremendous amount of additional value can be derived from the ever growing number of cameras that are placed in homes, offices, manufacturing facilities, and public areas.  EDGE3’s Smart Surveillance module can be used in a variety of ways, to identify objects left unattended in a crowd, loitering, slip and fall, face detection in a crowd, unauthorized personnel, speeding, etc.

 

 

 

 

 

 

 

The Vision Analytics Engine

Tracking

Tracking

Enables recognition and tracking of points/objects of interest.

Image Processing

Image Processing

Wide range of algorithms applied to the input data to lower noise or signal distortion.

Depth Engine

Depth Engine

Enables depth map-range data.

Artificial Intelligence

Artificial Intelligence

Recognizes such items as discrete hand gestures, facial movements, dimensioning, and scene mapping.

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.

EDGE3 solves problems that improve the safety of automobiles, the efficiency of shipping logistics, or the security of one’s home.

Technology

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

What is a computational stereo depth map?

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.

 

 

 

 

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Team

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.

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