September 12, 2007 -- SecurLinx Corporation of Morgantown, WW, announced today that it introduced its Facial Recognition Deployment Framework at the 2007 Biometrics Consortium Conference in Baltimore, MD, this week.

SecurLinx has established a vast experience base in designing and deploying facial recognition systems in difficult environmental conditions. As a result of the mixed performance results from these endeavors it became evident that a much more rigorous analysis of algorithm performance in relation to environmental conditions would be necessary to achieve effective deployments in real world settings. This internal need to test its own designs became the driver for the development of the Framework. It became evident that this solution could provide significant benefit to others in the industry facing the same issues.

"We are able to test our product performance in the same environmental conditions in which it will be deployed," stated Barry Hodge, CEO of SecurLinx. "This will allow us to set our customer's expectations appropriately while delivering the highest level of performance available in the marketplace,"

The patent pending technology consists of three major components that allow developers, users and integrators to test the performance of complete facial recognition systems in the laboratory and in actual field settings. The system enables repeatable, objective testing to create a performance profile and measure environmental characteristics.

"The physical settings where many users wish to deploy facial recognition systems are often an environmental challenge due to the chaotic nature of the location.  Areas such as entrances to sports venues or transportation hubs have extreme variability in lighting conditions throughout a day and night," explained Steven Rehfeldt, Chief Technology Officer. "The field toolkit can measure these changes in detail and provide the necessary data to improve performance at the site with supplemental lighting, algorithm selection or both. The laboratory version of the Framework supplies detailed test data to developers to aid in algorithm performance improvements."