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Tracking Moving Objects: Calgary start-up to deliver new healthcare safety system
 

Micronet support has helped a Calgary researcher develop a new technology – and launch a new company – that promises to improve patient care safety.

A Calgary hospital could be the first to field test a first-of-its-kind "smart"camera that alerts nurses if a patient is about to fall from bed, or is en route for a medical test.

Developed by Dr. Wael Badawy at the University of Calgary, with funding assistance from Micronet and other partners, this low-cost technology uses multiple cameras and infra-red sensors to track and code video objects, such as people, vehicles, or other moving objects. The first application will include intelligent monitoring systems for hospitals to create an "Intelligent Patient Room."

The technology has already produced two pending patents and one spinoff from the University of Calgary, Smart Camera Technologies Inc. The research behind the system spans more than six years, originating with Dr. Badawy's PhD studies at the University of Louisiana.

"This technology goes much further than the video streaming technology currently on the market," explains Dr. Badawy, Chief Technology Officer of the new company, and Associate Professor at the University of Calgary Department of Electrical and Computer Engineering. "Our camera system takes an image and produces intelligent data. With other systems the camera is a passive device, and a person has to view the image to determine what is in the scene."

Founded in March 2003, Smart Camera has built its first prototype for the transportation sector. It is now finalizing development on a second prototype for healthcare applications, with a commercial release expected within months. The company is making arrangements to manufacture the circuit boards in Calgary.

Like multiple computers connected to a distributed network, dozens or even hundreds of intelligent cameras can be linked over a wireless and wireline network to collect, interpret, and transmit data in real time. The system can find and track any moving object within the field of view of the camera, and generate data on trajectory and speed.

Support from Micronet helped to fine-tune the motion-tracking algorithms and architecture required to track and identify objects. Dr. Badawy also credits Micronet for advancing work on the hardware implementation for this technology.

The technology's key advantages over existing systems are its low power consumption and low bit rates. The latter condenses the amount of video information being sent, making it possible to transmit multiple video streams over low-bandwidth wireless networks.

"With our technology, we can characterize the moving objects in real time, and we can program the system to take a particular action, such as alerting a nursing station to an incident with a patient," he explains.

Another advantage to Dr. Badawy's technology is that, unlike other systems, his cameras don't require recalibration each time they change angles, or if they are jarred in a windstorm. "That gives our technology a real advantage in severe weather."

In addition to video cameras, the technology can be used for infrared, ultrasonics and other specialized sensors.

In the near term, the smart cameras could become part of the "Medical Ward of the 21st Century," a new 36-bed teaching unit at Foothills Medical Centre in Calgary that is pilot testing new approaches to healthcare delivery, research, education, and technology. The trial would enable Smart Camera Technologies to develop an in-field proof-of-concept, which would help to attract venture capital.

"In healthcare, we don't see anybody else offering what we have, which is why the experts at Ward 21 are very interested in following up with this technology," says Dr. Badawy. "We're already talking about the potential for future projects – using this technology in rural hospitals, extended care facilities, or even for home care. Putting the system into a ward is just the first step."

The smart camera system could also be installed on highways to count the number of vehicles on the road or identify the distance between cars and their relative speed – providing intelligent feedback on current traffic conditions. Police could potentially use the system to locate stolen vehicles.

www.micronetrd.ca

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