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Applications
Technologies to collect data are becoming much less expensive and very efficient. Examples include video, lidar, radar, sonar, and acoustics or audio information. Outlined below are three areas where Vy’s highly reliable shape detection can add value to existing solutions while opening the possibility of innovative new solutions.
 

Medical Imaging
Growing consumer awareness and an aging population is driving a 6.6 percent increase in the global market for biopsies. New florescent microscopes are generating vast amounts of data much of which has to analyzed manually. A significant opportunity exists for technology that can reliably identify, count, and characterize complex cell structures. Vy’s technology is designed to work with existing analysis techniques to solve this problem.

The Image below shows a cell cluster analyzed with a traditional edge detector on the left and Vy’s patented CellQuant technology on the right. Existing analysis techniques are unable to identify and count cells that are occluded or clumped together. Vy’s solution helps researchers increase the quality and quantity of data available from slide imagery while substantially reducing the manual analysis required.

Video Search and Analysis
Reliably searching videos for objects and activities of interest is a huge problem for law enforcement, industry, and the military. Major cities like New York, Chicago, and Boston have access to tens of thousands of security cameras. Vy’s unique shape recognition technology can be programmed to tag and track objects of interest such as vehicles.

It can also be programmed to create unique “fingerprints” for a specific vehicle. Other areas where Vy’s unique technology could prove useful are searching for rapid acceleration or deceleration for the purpose of near real-time alerts.
Vehicle Wheel Footprint: ellipse object models fitted to car wheels with Bezier curves in background

Autonomous Steering
The ability to reliably represent curves and objects as mathematical models is critical to autonomous vehicle steering. Tremendous progress has been made using laser ranging systems and millimeter wave radar. We believe that adding Vy’s shape detection technology to these capabilities can improve reliability and reduce cost making inexpensive fully autonomous personal robots a reality.

 
DARPA Grand Challenge Winner Stanley in 2007 

(DARPA Grand Challenge Winner 2013)

 
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