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 Issued