Human Recognition Systems MForce Reduces Forensic Matching Delivery Time from Days to Seconds
16/09/11
Human Recognition Systems (HRS) has announced the latest enhancement to its recently launched product, MForce. The 'lights out latent' module delivers real time results for police, military and humanitarian organisation in disaster victim identification, crime scene investigation and watch list identification.
MForce is a mobile ABIS platform designed for organisations that operate in remote, difficult or temporary environments and need to manage identities and gather intelligence. The system is designed with inter-agency cooperation in mind exporting data records based on the international EBTS standards. The combination of livescan and latent in a single mobile form factor means police, military and humanitarian organisations can very quickly establish a complete identification platform wherever they are.
With its combination of fixed and portable components, MForce systems synchronise to share the latest databases and watch lists keeping data up to date across disparate teams. Already delivering multi-modal biometrics combining finger, face, iris, DNA, the addition of latent matching completes the biometric capability meaning users have all their identification processes in one place.
“We have integrated a key advancement in latent fingerprint identification so the MForce system implements a ‘lights out’ latent solution, which now means untrained personnel can carry out automatic forensic imaging and fingerprint enrolling there and then,” said Neil Norman, chief executive of HRS.
“This provides an excellent opportunity to allow forensic experts to continue working where they are most needed in the field without being called away but at the same time, it also empowers other individuals to perform latent matching – and on both accounts, this saves time and money.”
This is vital, for example, in disaster victim identification (DVI) following natural disasters where humanitarian organisations and NGOs assist in the identification and tracking of missing and displaced people. The ability to capture fingerprints – from individuals or latent prints – and to scan and digitise them, then run them against databases or watch lists at the scene of the event is a huge draw during such a crisis.
“For forensic science, this brings real savings,” continues Neil. “As well as improving operational efficiencies in gathering forensic evidence the 'Lights Out' module reduces the time delay from latent image capture to identification.
“It removes the need for latent images to be captured and physically sent back for central processing because the digitisation means that the fingerprint is checked on the local system in real-time and can be matched against watch lists or databases to identify or eliminate individuals from a crime.”
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