Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Mforce solution
1.
2. MForce is a multi-modal biometric platform that can be deployed through fixed, portable and mobile devices to
deliver a number of benefits to organisations working in remote, expansive or hostile environments.
Using Iris, Finger and Face biometrics integrated with the ability to register DNA details and latent fingerprint
images, MForce can allow rapid and mass enrolment and identification processes to take place. This aids in a
variety of tasks which in the past have been labour and cost intensive and in some ways impractical due to
geographic conditions.
This includes allowing access security to be maintained across large, mobile and complex sites. Payments to be
made to employees such as military personnel or humanitarian workers who may be spread across huge areas and
maintain no fixed position as well as managing their qualifications and assets where relevant.
MForce also integrates a key advancement in latent fingerprint identification; our system implements a ‘lights out’
latent solution which enables untrained personnel to carry out automatic forensic imaging and enrolling of
fingerprints on board the system. This not only saves time and money enabling trained individuals to process
forensic evidence in the field more rapidly but also empowering others to perform latent matching. This is vital in
disaster victim identification following humanitarian or natural disasters where Governmental Organisation and
NGOs may have to aid in the identification and tracking of missing and displaced persons.
CAPABILITIES
Mass Enrolment and Identifications
Access Control
Latent Fingerprint Imaging
Watchlist Database Matching
Payroll
Record Tracing
Disaster Victim Identification (DVI)
Military
Law Enforcement
Humanitarian and Disaster Support
National Security
Boarder Control
Forensic Identification
3. www.hrsid.com
Rapid identification
Providing actionable intelligence to the operator through fast and
positive identification of individuals
Multi-modal biometric authentication
A complete Finger, Face and Iris identification platform in a single and
modular solution integrated within robust and easy to use devices
Mobility
A complete biometric enrolment, identification and management
system in a mobile and robust format
Enables complicated forensic latent fingerprints to be scanned by untrained
operators
Simple user interface extends across technical and language barriers
Multimodal biometric capability ensures that you can make accurate
identifications at a 1:n level
Suite of editions and modules ensures the system develops as your
operational requirements do
Provides rapid registration and identification in the field
Robust and resilient system providing operation in rugged and remote
environments
Enables the development and matching of watchlists against iris, fingerprints
and latent images
DETECTDETECT
Mobile Enrolment &
Identification
Individuals biometrics are recorded
at the scene of events or vehicle
check points and real-time watch
lists are checked for wanted or
known individuals.
PROTECTPROTECT
Payroll
Biometrics are used to identify
individuals mapping key biometric
and biographic data with current
locations and skills to ensure
payments are made to the right
people where ever they are.
DETECTDETECT
Latent Print Lifting
Latent images are collected from
crime scenes and uploaded to
mobile devices for processing,
analysis and distribution to watch
lists.
PROTECTPROTECTT
Disaster Victim
Identification
Latent images and live biometrics
can be enroled and matched
against existing databases to track
and locate casualties or displaced
persons following disasters.
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Intelligence
COLLECT
ANALYSE
FUSE
DISTRIBUTE
WATCH
LIST
SAFE
LIST
PROTECTPROTECT
Static Enrolment &
Identification
Military personnel and approved
contractors are enrolled and
identified in a blast-proof cabin.
4. TEL 0151 254 2888 EMAIL sales@hrsid.com WEB www.hrsid.com
1st Floor, Building 2000, Vortex Court, Enterprise Way,
Wavertree Technology Park, Liverpool L13 1FB
Winners 2010