TITAN AI Facial Recognition Solution is centre stage at The Security Event Birmingham
Following the successful introduction of TITAN AI (Advanced Imaging) and it's derivatives at the International Security Expo in November, the Visual Management Systems Ltd. team has confirmed that the advanced high-performance Automatic Facial Detection, Recognition and Identification solution will be on display at the NEC in April - Booth SE150
Each TITAN AI product is individually tailored to the client's specific requirements and environments, providing both state-of-the-art and fit-for-purpose solutions. Utilising the unique TITAN AIM Advanced Imaging Technology, TITAN AI high performance systems offer both flexible and scalable solutions.
Following a Strategic Technical Alliance with Leicester University, Visual Management Systems Ltd. has introduced TITAN AI, a range of advanced computer vision solutions utilising patented* AI technology.
TITAN AI has been created by a team of artificial intelligence (ai) specialists to provide state-of-the-art advanced image processing technologies for use in a wide range of applications across several vertical market sectors.
If you would like further information on TITAN AI Facial Recognition or wish to arrange a demonstration from the TITAN team.
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TITAN AI Shortlisted for Counter Terror Awards
The TITAN AI Facial Detection, Recognition and Identification System will join solutions from organisations from the UK and overseas to be recognised in twenty categories for their contributions to reducing the threat from global terrorism at the 2019 Counter Terror Awards, which will take place on March 5, 2019.
TITAN AI innovative solution achieved inclusion in shortlist of just four
TITAN AI Facial Detection, Recognition and Identification solution is shortlisted in the Information Technology in Counter Terrorism section of the prestigious Counter Terror Awards 2019 - sponsored by Getac. This award recognises the project which makes best use of information technology to assist in counter terror strategy.
Dr Sepehr Meshkinfamfard PhD, MSc, BSc, head of the TITAN AI development team at Visual Management Systems Ltd. stated "
This is a major accolade for the guys and our partners in the Department of Mathematics at Leicester University."
He added
"Our unique methodology and application of AI (Artificial Intelligence) and Convolutional Neural Network (CNN) technologies has resulted in a unique high performance multi-subject facial detection / recognition solution and one that we are very proud of."
TITAN AI featured in
Academic News
Success of Industrial Applications "The security systems integrator Visual Management Systems Ltd. has published very recently that they significantly outperform Microsoft AI system using the Department of Mathematics algorithms".
TITAN WALL at Security & Counter Terror EXPO
Media partner Counter Terror Business Magazine will be presenting their new interative publication on the TITAN WALL video wall system at the Security & Counter Terror EXPO in Olympia London 5-6 March stand A50. Come and take a look - we will be there to help!
Established in 1996, Visual Management Systems Ltd. is one of the UK's leading providers of integrated IP CCTV and PSIM (Physical Security Information Management) systems including hardware, software and video wall applications. The flagship product is TITAN VISION, an Integrated Security Management suite which delivers complete situation awareness, integration of all security subsystems, unified configuration across the network, programmable logic for automating response, workflow management to guide user response, and complete audit, reporting and forensic tools. Our customers include: airports, military bases, museums, city centres, national borders, oil and gas assets and critical national infrastructure.
GDPR came into force on the 25 May 2018, Visual Management Systems Ltd. has made sure that we comply with this EU legislation. Your personal information is extremely important to us and as before, it's storage and processing is taken very seriously.
