Technology Overview
Wayne State researchers have addressed the scalability-cost and power
consumption problems of large-scale surveillance systems by developing an
optimal bandwidth allocation algorithm, which controls the transfer rates of
various video sources.
With dynamic bandwidth allocation, the surveillance coverage can be
widened as much as possible throughout the site without greatly increasing the
required resources and thus the overall system cost. The algorithm considers the
potential threat level, placement of video sources, location importance, site
map, and rate-accuracy curves of computer vision algorithms.
Commercial Applications
·
Dynamic
bandwidth allocation to address scalability-costs and power consumption problems
of automated video surveillance systems.
Competitive Advantages
·
First method
to consider potential threat level, placement of video sources, location
importance, and site map for dynamic bandwidth allocation.
·
Dramatically
lowers the price, increases the coverage of computer-automated security systems,
and reduces power consumption.
·
Addresses
the issues of scalability and power consumption in large-scale surveillance
systems
– Algorithm to control the transfer rates
of various video sources
– Dynamic bandwidth allocation, the
surveillance coverage can be widened as much as possible throughout
the site without greatly increasing the required resources and thus the
overall system cost
– Especially useful in battery-powered
video sources
Stage of Development
Currently running simulation based evaluation
Patent Status
Patent pending