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March Networks Searchlight Now Delivers Greater Speed And Effectiveness To Banking Fraud Investigations

OTTAWA, March 27, 2012 /PRNewswire/ - March Networks ® (TSX: MN), a global provider of intelligent IP video solutions and the #1 supplier of banking video surveillance systems in the Americas, is pleased to announce enhancements to its Searchlight applications portfolio to help banks and credit unions further reduce losses from ATM fraud, cash harvesting and other crimes. The latest Searchlight features include a new color detection analytic, improved facial detection, and a new snapshot timeline that combine to triple an investigator's search capabilities - allowing them to conduct fraud investigations even faster and build better case evidence.

The March Networks Searchlight portfolio consists of Financial Transaction Investigation software, which synchronizes ATM and teller transaction records with high-quality surveillance video to improve investigator performance and streamline case management. It also includes powerful Skimming Detection, Image Tracker and License Plate Tracker applications that enable banks to proactively detect fraudulent activity at ATMs and gather stronger case evidence through centralized searches that correlate video, transaction information, facial images and license plate data.

A new color detection analytic introduces yet another layer of evidence filtering to aid and speed searches across any number of banking locations simultaneously. Investigators can search ATM lobby footage for a suspect wearing a red shirt, for example, or combine that search parameter with specific banking card numbers or ATM transaction amounts to zero in on evidence even more quickly. Searchlight's enhanced facial detection analytic automatically captures the best instance of a customer's face during a transaction, providing more reliable identification for investigations and law enforcement. And a new visual timeline, which offers investigators a scrolling line-up of corresponding images for any selected timeframe, helps investigators swiftly narrow searches.

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