cloud Archives - Allevate

Allevate Qualifies as a UK Crown Commercial Service DOS5 Supplier.

allevate — Wed, 20 Jan 2021 12:00:23 +0000

Allevate qualifies as a supplier to the UK Crown Commercial Service’s Digital Outcomes and Specialists 5 (DOS5) framework, from 20th January 2021.

LONDON, UK 20th January 2021: Allevate today announces it has qualified as a supplier to the UK Crown Commercial Service’s Digital Outcomes and Specialists 5 (DOS5) framework.

This framework helps the public sector buy, design, build and provide bespoke digital outcomes by finding appropriate specialists to provide services and outcomes.

DOS 5 replaces DOS 4 and is available as of January 20, 2021.

About Allevate Limited

Founded in London in 2007, Allevate works with law enforcement, intelligence and government agencies to enhance public safety by ensuring positive identification through the application of biometric and identification technology.

Ensure Positive Identification
Enhance Public Safety
Reduce Operational Costs

Visit us at https://allevate.com , email us at contact@allevate.com, call us on +44 20 3239 6399 and follow us at @Allevate.

About the UK Crown Commercial Service and DOS

The UK Crown Commercial Service (CCS) works with both departments and organisations across the whole of the public sector to ensure maximum value is extracted from every commercial relationship and improve the quality of service delivery. The CCS goal is to become the “go-to” place for expert commercial and procurement services.

The DOS 5 framework is designed to help the public sector buy, design, build and deliver bespoke digital solutions and services. 94% of the 3,340 suppliers on the new agreement are SMEs.

The public sector has spent more than £2.5bn through Crown Commercial Service’s DOS agreements since 2016, with 34% of that spend – more than £800m – going directly to SMEs.

The post Allevate Qualifies as a UK Crown Commercial Service DOS5 Supplier. appeared first on Allevate.

“Ubiquitous Identification” using Facial Recognition Available on G-Cloud 12 on UK Sovereign OFFICIAL SENSITIVE or TIER 2 Platform

allevate — Fri, 25 Sep 2020 12:25:26 +0000

Allevate announces the release of R3.0 of its Face-Searcher EDGE face detection capability, coupled with Tygart’s MXSERVER, and their availability on the UK CCS G-Cloud12 framework. Cloud Hosting via partners up to OFFICIAL SENSITIVE or TIER2. Provides powerful facial recognition enabled forensic analysis of media integrated with live CCTV surveillance watchlist alerting. Available to all UK government, intelligence and law-enforcement agencies with a flexible monthly commercial model.

LONDON, UK 25 September 2020: Allevate today announces the release of R3.0 of it’s Face-Searcher EDGE face-detection utility and the continued availability of Tygart’s MXSERVER on the UK Crown Commercial Service’s Digital Marketplace G-Cloud 12 Framework.

Allevate’s G-Cloud service can be optionally powered by Sungard Availability Services, who provide a Secure Managed Cloud using AWS (Amazon Web Services) up to OFFICIAL SENSITIVE.

For higher levels of assurance, UKCloud’s UKCloudX division, which exclusively serves the community of Defence, Intelligence, Security and Law Enforcement agencies in the UK, can provision TIER2 hosting to power MXSERVER.

Forensic Analysis of Media Integrated with Live Surveillance Watchlist Alerting

This unique offering now enables any UK Public Sector sector organisation to utilise MXSERVER and Allevate’s unique Face-Searcher architecture to benefit from “ubiquitous identification”.

Forensically analyse masses of digital media.
Maintain and manage biometrically enabled watchlists.
Implement live facial recognition surveillance services on any number of geographically dispersed cameras from a single central infrastructure.

All using a centralised cloud-infrastructure coupled with Edge Detection over low-bandwidth networks.

Pricing uses an easy to calculate monthly service fee, based on either:

Monthly Payment Based on Server Footprint
Pay a monthly software license fee based on the size of the server footprint in the cloud or your datacentre. Suitable for forensic analysis of bulk media.

Monthly Payment Per Live Surveillance Camera
Pay a monthly software license fee per camera, based on the number of surveillance cameras submitting live searches. Includes unlimited server-side software to meet your response and workload requirements. Suitable for a deployment supporting live facial recognition alerting for any number of cameras.

About Allevate Limited

Ensure Positive Identification
Enhance Public Safety
Reduce Operational Costs

Visit us at https://allevate.com , email us at contact@allevate.com, call us on +44 20 3239 6399 and follow us at @Allevate.

About MXSERVER

MXSERVER, from UK Crown Commercial Service’s Digital Marketplace G-Cloud 12 Framework, processes vast amounts of textual, video and photo collections quickly – automatically discovering, grouping and extracting segments depicting people. Using face recognition technology, this solution searches media archives to find other assets which depict individuals of interest. It also indexes the digital media to enable it to be efficiently searched using a photograph of a face, previewed and analysed via an intuitive web-based user interface. Results become available in minutes rather than hours or days because the digital media files are processed in parallel over a distributed cloud-architecture.

MXSERVER automates the bulk-processing of media for forensic analysis and is already proven by US Federal agencies to provide an “Order of Magnitude” efficiency gain and significantly enhanced identification of suspects.

About the UK Crown Commercial Service and G-Cloud

The G-Cloud catalogue is open to all public sector clients and is designed to provide a simple streamlined process for buying ICT focused products and services that use cloud computing as a commodity.

The post “Ubiquitous Identification” using Facial Recognition Available on G-Cloud 12 on UK Sovereign OFFICIAL SENSITIVE or TIER 2 Platform appeared first on Allevate.

MXSERVER Available on G-Cloud : UK Sovereign OFFICIAL SENSITIVE Platform

allevate — Tue, 02 Jul 2019 09:45:19 +0000

MXSERVER Available on G-Cloud. Optionally utilise a UK Sovereign OFFICIAL SENSITIVE Platform. Facial Recognition Enabled Forensic Analysis of Media Integrated with Live CCTV Surveillance Watchlist Alerting. Available to all UK government, intelligence and law-enforcement agencies on the G-Cloud 11 framework.

LONDON, UK 2 July 2019: Allevate today announces the continued availability of MXSERVER on the UK Crown Commercial Service’s Digital Marketplace G-Cloud 11 Framework.

Allevate’s G-Cloud SaaS service is optionally enabled by Sungard Availability Services. Sungard AS provide a Secure Managed Cloud using AWS (Amazon Web Services). This fully UK Sovereign platform is AWS approved, Public Service Network (PSN)-connected and managed / supported by Security-cleared, UK-based personnel.

You may host your MXSERVER deployment on Sungard’s managed PaaS platform or on a platform of your choice.

You can view Allevate’s MXSERVER G-Cloud service descriptions here.

Forensic Analysis of Media Integrated with Live Surveillance Watchlist Alerting

With MXSERVER available on G-Cloud, any UK Public Sector sector organisation can utilise MXSERVER and Allevate’s unique Face-Searcher architecture to:

Forensically analyse masses of digital media.
Maintain and manage biometrically enabled watchlists.
Implement live facial recognition surveillance services from any number of cameras.

… all on a fully managed UK Sovereign AWS Cloud-hosted platform for OFFICIAL and OFFICIAL SENSITIVE workloads.

Access to both the software and all hosting and storage services are available on Digital Services Marketplace G-Cloud framework. Pricing uses an easy to calculate monthly service fee.

About Allevate Limited

Ensure Positive Identification
Enhance Public Safety
Reduce Operational Costs

Visit us at https://allevate.com , email us at contact@allevate.com, call us on +44 20 3239 6399 and follow us at @Allevate.

About MXSERVER

MXSERVER, from Tygart Technology, processes vast amounts of textual, video and photo collections quickly – automatically discovering, grouping and extracting segments depicting people. Using face recognition technology, this solution searches media archives to find other assets which depict individuals of interest. It also indexes the digital media to enable it to be efficiently searched using a photograph of a face, previewed and analysed via an intuitive web-based user interface. Results become available in minutes rather than hours or days because the digital media files are processed in parallel over a distributed cloud-architecture.

About the UK Crown Commercial Service and G-Cloud

The post MXSERVER Available on G-Cloud : UK Sovereign OFFICIAL SENSITIVE Platform appeared first on Allevate.

Allevate Releases R2.1 of its Face-Searcher EDGE Application

allevate — Wed, 08 Nov 2017 19:11:01 +0000

Integrated with Allevate’s Face-Searcher Cloud Service, built on Tygart Technology Inc’s MXSERVER

LONDON, UK 8th November 2017:

Allevate today releases version 2.1 of its Face-Searcher EDGE application, an integral component of Allevate’s Face-Searcher service. Face-Searcher is built on Tygart’s MXSERVER and enables organisations, large or small, to utilise facial recognition as a hosted cloud service.

Incorporating the latest version of CyberExtruder’s Aureus 3D SDK, Face-Searcher EDGE incorporates the industry’s best face detection capability, ensuring that Face-Searcher is the leading cloud-hosted face recognition service in dealing with real-world challenges created when security cameras are mounted in less-than-ideal locations.

Face-Searcher has already been successfully deployed on a national level in Brazil.

MXSERVER^TM is an enterprise facial recognition cloud platform. It is the only biometric search engine on the market designed to handle Big Data (processing massive amounts of photos and videos) by leveraging a cloud-based architecture for faster parallel processing of services. MXSERVER^TM is proven and utilised by Defence, Intelligence and Law Enforcement organisations and has also been used to enhance security at major events, such as the 2015 European Games, a major international sporting event.

–ENDS

About Allevate Limited

Ensure Positive Identification
Enhance Public Safety
Reduce Operational Costs

Visit us at https://allevate.com/, email us at contact@allevate.com, call us on +44 20 3239 6399 and follow us at @Allevate.

About Tygart Technology, Inc.

Tygart Technology, Inc. is a leading provider of enterprise-grade video and photographic analysis and biometric recognition systems. Tygart provides the U.S. Military, Intelligence Community and Law Enforcement markets with innovative software solutions that manage and automate the processing of massive volumes of digital video and photograph collections.

Visit us at https://www.tygart.com/ or call 1-304-363-6855.

About CyberExtruder

CyberExtruder develops facial recognition technology for a broad spectrum of real-world, government and commercial applications worldwide. Designed for OEM’s, integrators and end-users, CyberExtruder’s proprietary 3D face modelling technology mitigates the challenges of pose, lighting, and expression. A convolutional neural network enhances the ability to train algorithms and deliver ever-increasing performance.

Visit http://cyberextruder.com/ for more information.

The post Allevate Releases R2.1 of its Face-Searcher EDGE Application appeared first on Allevate.

Fighting Terrorism With Facial Recognition

allevate — Fri, 28 Jul 2017 00:01:55 +0000

Follow @Allevate

Forensic Media Analysis Integrated with Live Surveillance Matching

You can download a PDF copy of this article by clicking this link.

Against the backdrop of budget constraints, threats from terrorism, organised crime and public disorder continue to rise. Authorities can remain resilient through the targeted application of technology. Advances in face recognition coupled with the mass availability of digital media and continuously cheaper computing provides unique opportunities to enhance the efficiency of forensic investigations to enhance public safety. Processing of digital media can be automated in a virtualised and elastic computing environment to identify and extract actionable intelligence. Processing is scalable, continuous, consistent and predictable. Analysts can focus on investigating and confirming suggested results rather than watching countless hours of media in the hope of stumbling across intelligence. Such a centralised platform can also be used to search in near real-time faces from any number of remote cameras against centralised watchlists of individuals of interest. Fighting Terrorism With Facial Recognition.

1. A Need for Enhanced Safety and Operational Efficiency

Risks are increasing. Recent events demonstrate that the threat landscape is substantial and becoming more fragmented, consisting of a greater number of smaller and less sophisticated plots. The targeted application of technology can play a key role in improving the efficiency of our police and intelligence agencies and maintaining readiness to both disrupt and respond to major events.

2. A Relentless Increase in Digital Media

The increase in media is relentless. Law enforcement and intelligence agencies have amassed large collections of video and photographic information from multiple sources such as:

- Digital Forensics (confiscated phones, computers, flash drives etc).

- Open Source Intelligence (Internet and Dark Web).

- Crowd- sourced from members of the public (HD cameras on mobile phones are ubiquitous).

Police Body Worn Video.

When tragic events or social disorder occur, investigators have a long and arduous task of reviewing countless hours of media, generally with a varying degree of concentration and scrutiny.

A solution that minimises manual effort in the extraction of actionable intelligence from amassed media by automating this process with a consistent and repeatable level of scrutinywill deliver concise and consistent information in a fraction of the time taken by operators undertaking the task manually.

3. An Automated Media Processing and Exploitation Solution

Police, intelligence and other public order agencies can benefit from the application of a powerful media processing solution designed to ingest, analyse and index, in an automated fashion, very large quantities of media from multiple sources to transform them into usable assets. Utilising virtualised and elastic computing environments enables the platform to be rapidly scaled up and down in response to unfolding events.

Once processed, agencies can analyse and make use of the extracted assets and manage them in a centralised repository of information. Data links, associations and metadata inferences can be managed across the whole dataset by multiple users from a single common user interface. Backend processing services are run in a cloud-computing environment, the capacity of which can be configured and incrementally scaled up and down to meet an organisation’s changing demands; peaks arising from specific events can be easily accommodated.

Features include:

Automatically find, extract and index faces to enable biometric and biographic searching of media.
Create and manage watchlists of people of interest.
Find and cross-reference all media instances in which a person of interest has been seen.
Identify, locate, and track persons of interest, their associates and their activities across all media.
Discover, document and view links between people of interest, their activities and networks.
Use of metadata (including geo data) to enhance investigations and association of data.
Integration into existing system environments, databases and components.

3.1 Incorporating Other Detection Capabilities

In addition to face recognition, other detection engines can be incorporated, such as:

Biographic filtering and Fuzzy Match capability.
Automatic Number Plate Recognition. (ANPR)
Voice Biometrics.
Object / Logo Recognition.

Vendor independence allows the use best-of-breed algorithms. Newer and better algorithms (COTS and GOTS) can be plugged in without having to replace the entire platform.

3.2 Working with Geo-Location Data

An increasing amount of media is captured on devices affixed with location determining technology. Often, this geo-location data is incorporated into the media metadata, thereby providing potential to further enhance the analysis of media. Geo-location can be used to:

Compartmentalise and refine analysis by location of media creation.
Overlay location of proposed matches onto maps.
Chart movements of individuals of interest by location and time of sightings.
Link individuals at the same location and time even if they do not appear together in media.

3.3 Architecture and Integration with Existing Systems

In addition to utilising COTS components, open standards and cloud-computing architecture to enable massive scalability, a well delineated scope of functionality and open API enables:

Flexibility in customisation and integration with existing systems and workflows.
Well-defined mechanisms of loading data and automating ingestion of media.
Dynamic alteration and sharing of watchlists, media, system-generated results and operator analysis.

3.4 Hosting, Cloud and Virtualisation Options

Full architectural flexibility enables flexibility of hosting options. Organisations can elect to:

Take advantage of IaaS and SaaS options on public sector hosting offerings.
Fully self-host the solution on private and secure premises and datacentres.
Deploy in a hybrid manner.

Indeed, managed AWS or Azure offerings can be utilised to bulk process media, utilising non-return gateways to propagate identified sensitive data to more secure facilities.

3.5 Working Hand-in-Glove with Trained Forensic Investigators

Humans will always remain the critical and essential part of intelligence analysis; such solutions do not replace the intricate skills and knowledge of trained investigators. Rather, the operator is enabled to intelligently direct and apply their training at suggested results, eliminating the necessity of rote viewing of countless hours of media either in a sequential our random fashion.

Integration of enhanced verification, charting and mapping tools enables operators to conduct detailed analysis of suggested matches and identifications.

4 Potential Use Cases

There are multiple applications of a solution as described herein within military, law enforcement, intelligence and public-site security agencies. These are summarised into four broad categories:

4.1 Time Critical Investigations, Media of Critical Importance

Often, authorities need to quickly process evidence to identify and apprehend individuals. The scale of the investigation can be huge and the amount of media that needs to be processed massive.

The media acquired in these instances can be of such critical importance that the authorities may choose to review it all in its entirety. However, immediate and decisive action is critical. Rather than sifting through the media in a random or sequential fashion, a media analysis solution can quickly direct the investigators to portions of the media that are most likely to deliver immediate results. Full review of the media can be conducted afterwards.

4.2 Bulk Ingestion of Media Arising from Criminal Investigations

During routine operations or investigations, authorities may recover significant quantities of media from multiple sources that need to be processed to further the investigation or to assist in building an evidence base for prosecution. Examples include:

Military or counter-terror officers raiding terrorist facilities.
Specialist organised crime investigators raiding organised crime offices.
Child protection officers raiding premises of individuals or organisations involved in child exploitation.

Automating processing provides investigating officers an overall summary of the contents including focus areas for further investigation.

4.3 Continuous Background Processing of Media Sources

Authorities may as a matter of routine have access to masses of media which may contain actionable intelligence, but typically would never be viewed or processed due to a lack of resource. Intelligence in this media may be missed entirely and never acted upon.

This media can now be bulk ingested and processed in an automated fashion to flag relevant intelligence, using operator controlled criteria, to the authorities as required for follow-up processing.

Routine and automated processing of accessible media can flag actionable intelligence that may help disrupt future attacks.

4.4 Near Real-Time Watchlist Checking from Live Surveillance Cameras

By integrating any number of remote surveillance cameras to such a centralised matching platform eliminates the need to install and maintain costly local software and hardware to perform local face matching as well as the need to store potentially secure watchlist data locally at the camera locations. The problems associated with live streaming of HD media over low bandwidth network connections is resolved through the application of local face-detection and cropping; only small image files of cropped faces need be sent to the central data centre over encrypted channels.

4.4.1 Centralised Archive of “Seen Faces”

In addition to submitting search probes to the server for searching against one or more watchlists, search probes can be enrolled in a “seen faces” archive which can be interactively or automatically searched (using face recognition) by investigators or when submitting videos for processing.

5 A Compelling Business Case

The solution can be made available using a compelling SaaS model. The open and standard nature of the solution ensures it can run in existing on-premise datacentres or outsourced to secure hosting partners.

Whilst the human operator is an essential part of intelligence analysis, an entry-level system empowers the analyst to process up to an order-of-magnitude more media on a daily basis. This enables trained operators to apply their expertise in a more focussed manner than manually watching hour upon hour of media.

Efficiency is dramatically boosted by bulk processing media 24×7 at a constant and predictable level of focus and accuracy: operational staff can focus on analysing results.

6 Summary

Security concerns are increasing whilst budgets are limited. The focussed application of technology can improve efficiency and aid law enforcement agencies to rise to this challenge. The massive increase in the creation of digital media and the availability of cheap computing provides authorities with the ability to bulk ingest and process media in an automated fashion. Results are continuous and predictable. Trained analysts can now focus their skills on investigating suggested results and on intelligence extracted by automated systems. Not only does this provide the ability to process critical media even faster than ever before to respond to time critical investigations, but it also enables authorities to extract intelligence from media sources that in the past may never even have been looked at because of the significant resource this previously would have entailed. The same centralised platform can also be used to search in near real-time faces from any number of remote cameras against centralised watchlists of individuals of interest.

The post Fighting Terrorism With Facial Recognition appeared first on Allevate.

On the BBC Newsnight Report on Terrorism and Face Recognition

allevate — Fri, 21 Jul 2017 22:57:13 +0000

Richard Watson’s report on the 20th July edition of BBC Newsnight on the threat of terrorism and and the potential use of face recognition to combat it was informative, balanced and effectively presented the scale of the challenges faced, as well as the challenges in any potential use of the technology.

It’s important to realise that face recognition is not a panacea. But it is an effective tool that can drastically improve the efficiency of our intelligence and police agencies.

The figure cited of 40 officers to trail one suspect full time over 20 hours is not off the mark. Ex Chief Constable of the British Transport Police Andrew Trotter neatly summed it when he said “It is a huge labour intensive. Huge, and these people may do nothing for months, years. … And all the time there might be others that needed more attention. That diverts resources from other things…”.

Products such as the one demonstrated by Zak Doffman of Digital Barriers present an excellent example of technology available and typical and effective uses of them. However, Roger Cumming hit the nail on the head when he said “If an alarm is rung through your camera system picking up one of these people, what do you actually do? Because at that state all you’ve got is a positive identification of somebody on a watchlist? Do they represent a threat? Are the planning some sort of attack? Or are they just going about their business?…”.

The use of the technology in itself will pose new challenges.

The demonstrated solution is just one of many that can effectively perform live watchlist alerting on surveillance cameras to positive effect. But I don’t believe this use of face recognition alone represents the greatest benefit to police, and may not sufficiently improve efficiency to warrant the cost and generate a return on the investment.

It is likely that after each of the terrorists attacks in recent months, there was a substantial quantity of video evidence that needed to be manually reviewed at great use of resource. A significant challenge faced by police is the effective and efficient extraction and linking of intelligence from all of this media which can come from multiple sources, including CCTV, body worn video, members of the public, the Internet, the dark Web, news broadcasts and digital forensics (confiscated computers, phones, drives etc).

This represents a phenomenal Big Data challenge which is becoming increasingly solvable with the increasing availability of on-demand and elastic cloud computing paradigms. If we can rapidly process this media (at much greater speed than real time) and extract assets using face recognition and other detection technologies for presentation to reviewing investigators, this will significantly reduce the amount of time they need to laboriously watch it themselves, whilst increasing the intelligence they obtain from it, enabling them to rapidly “connect the dots”.

More actionable and linked intelligence, obtained quicker and cheaper. This can feed the watchlists the live surveillance cameras are searching in an integrated fashion off the same platform.

And perhaps just as importantly, introduce efficiency to feed a business case to help ensure the technology can be feasibly adopted.

You can watch the programme here: http://www.bbc.co.uk/programmes/b006mk25

The post On the BBC Newsnight Report on Terrorism and Face Recognition appeared first on Allevate.

Allevate Announces Continued Availability of MXSERVER on UK Crown Commercial Service Digital Marketplace (G-Cloud)

allevate — Tue, 23 May 2017 10:27:51 +0000

Powerful Cloud-Enabled Video and Photographic Forensic Analysis System Incorporating Face Recognition is available to all UK government, intelligence and law-enforcement agencies to assist in combatting crime and terrorist activities. MXSERVER automates the bulk-processing of media for forensic analysis and is already proven by US Federal agencies to provide an “Order of Magnitude” efficiency gain and significantly enhanced identification of suspects.

LONDON, UK 23 May 2017: Allevate today announces the continued availability of MXSERVER on the UK Crown Commercial Service’s Digital Marketplace G-Cloud 9 Framework. Allevate’s SaaS G-Cloud offering is enabled by Sungard Availability Services, who provides a Secure Managed Cloud IaaS and PaaS platform, with OFFICIAL classification, for UK Government Service Provision.

The below is extracted from our announcement of availability on G-Cloud 8.

Our security services are faced with a relentless increase in digital media — from CCTV and surveillance cameras, police body worn video, online sources such as Facebook and YouTube, confiscated phones and computers and, increasingly, ‘crowd-sourced’ from members of the public. There has been no easy and cost-effective way to access the intelligence this media contains. Experienced and expensive human capital has been assigned the rote task of watching countless hours of video in the hope of finding useful information.

Allevate emphasizes that “MXSERVER delivers a Big Data solution for law-enforcement’s growing video and photo assets. It provides a significantly enhanced identification capability that is quicker and more efficient than manually watching video. “

From today, access to both the software and all hosting and storage services are available on Digital Services Marketplace G-Cloud 8 framework using an easy to calculate monthly service fee. The G-Cloud catalogue is open to all public sector clients and is designed to provide a simple streamlined process for buying ICT focused products and services as a commodity without having to invite tenders from suppliers.

About Allevate Limited

Ensure Positive Identification
Enhance Public Safety
Reduce Operational Costs

Visit us at https://allevate.com , email us at contact@allevate.com, call us on +44 20 3239 6399 and follow us at @Allevate.

About the UK Crown Commercial Service

The post Allevate Announces Continued Availability of MXSERVER on UK Crown Commercial Service Digital Marketplace (G-Cloud) appeared first on Allevate.

Combatting Crime and Protecting Crowded Places. Face Recognition in the Cloud Demonstrated at UK Security Expo 2016 in London.

allevate — Fri, 25 Nov 2016 11:00:51 +0000

Allevate’s Cloud-hosted Face-Searcher face recognition service integrated with Facewatch’s digital crime reporting system to feature in UK Security Expo’s Securing Crowded Places Immersive Demonstrator. Nationally available in Brazil, UK launch imminent.

LONDON, UK 25^th November 2016: Allevate and Facewatch today announce that Allevate’s Face-Searcher, a cloud-hosted face recognition service integrated with Facewatch’s online crime reporting system, will feature in the Securing Crowed Places Immersive Demonstrator at the UK Security Expo on the 30th November and 1st December 2016 at Olympia, London. After its successful Brazilian launch, the integrated offering is now due for imminent launch in the UK.

The Immersive Demonstrator at UK Security Expo 2016 will be under the theme of ‘Securing Crowded Places’ and is being run in association with The Home Office JSaRC, the Centre for the Protection of National Infrastructure (CPNI) and other relevant Government Departments.

Allevate’s Face-Searcher service enables organisations to utilise facial recognition as a hosted cloud service. It requires minimal capital outlay, incorporates advanced, world-class face recognition technology and eliminates the need to install or maintain a complicated software infrastructure or related compute platform on clients’ premises.

Facewatch enables organisations to report crimes online and submit moving and still CCTV images as evidence to the police, as well as share this imagery between businesses in related subscribed groups (in compliance with Data Protection guidelines) to reduce crime.

Following an imminent UK launch, UK Facewatch subscribers will be able to instantly and automatically share their images of Subjects of Interest to Face-Searcher’s watchlists, thereby allowing real-time watchlist alerting to any device connected to Facewatch’s integrated alert management system. This integrated offering will help businesses prevent crime by warning them if someone entering their premises is on a watchlist of known offenders.

Face-Searcher is built on the industry-proven enterprise-grade MXSERVER^TM platform enabling automated facial detection and recognition, developed by Tygart Technology, Inc.

Additionally, Allevate will be providing a live demonstration of the MXSERVER^TM platform in the Technology Workshops and Live Demonstrations in the conference stream of the exhibition, entitled “Beyond Live Surveillance: The Application of Face Recognition to Improve Forensic Analysis of Masses of Digital Media“, Day 2, 1st December, 2016 at 1240pm.

MXSERVER^TM is also available on the UK’s Crown Commercial Service Digital Marketplace G-Cloud 8 Framework and is Powered by Sungard Availability Services.

Find out more on stand A41 at the exposition, in collaboration with Sungard Availability Services.

About Allevate Limited

Ensure Positive Identification
Enhance Public Safety
Reduce Operational Costs

Visit us at https://allevate.com, email us at contact@allevate.com, call us on +44 20 3239 6399 and follow us at @Allevate.

About Facewatch

Founded in London in 2010, Facewatch has worked with UK policing to create the world’s first private sector crime reporting platform that enables business and police to share information securely and instantly.

Visit us at http://www.facewatch.co.uk, email us at info@facewatch.co.uk, call us on +44 20 7930 3225 and follow us at @Facewatch.

About Tygart Technology, Inc.

Visit us at https://www.tygart.com or call 1-304-363-6855.

The post Combatting Crime and Protecting Crowded Places. Face Recognition in the Cloud Demonstrated at UK Security Expo 2016 in London. appeared first on Allevate.

Allevate Seeking Global Distributors and Agents for Face-Searcher Service

allevate — Sun, 02 Oct 2016 09:11:40 +0000

Allevate is actively seeking global distributors and agents for its new cloud-hosted Face-Searcher Service integrated with Facewatch’s secure online crime reporting service. The integrated offering enables businesses, public and police to tackle low-level crime by sharing images within groups and then utilise cloud-hosted face recognition to raise alerts back to the business.

Key Benefits:

No complicated software to install or maintain.
Enables businesses to collaborate with each other and the police by sharing imagery.
Integrated with the industry’s best biometric algorithms.
Affordable monthly service fee with no or minimal up-front capital expenditure.

Already launched in Brazil, the integrated service is available globally and we are now seeking both:

Leading security and surveillance organisations to act as a distribution channel.
Agents to manage and on-board distributors within specific geographic territories.

The Value to You

Our integrated offering supplies our distribution channel with an affordable, SaaS structured offering to augment your already successful and credible security and surveillance operation with a cloud-hosted and easy to maintain facial recognition service.

Coupled with your extensive experience in CCTV installation and configuration and control room and monitoring services, it adds further value that enables your customers to collaborate with each other and the police and to further enhance the security of their premises with face recognition.

If you are interested or to find out more, please do not hesitate to contact us here.

Download a datasheet on Face-Searcher here.

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Allevate’s Face-Searcher in Action: Cloud-Enabled Face Recognition

allevate — Mon, 26 Sep 2016 23:15:17 +0000

A test-run of Allevate’s Face-Searcher service integrated with the online Facewatch crime reporting system:

A camera with a lightweight laptop in the UK
- Detecting and cropping faces from the video stream

Submitting image files of cropped faces for ultra-scalable and accurate face matching in the Cloud in Amazon Web Services in USA.

… with

Watchlist data syncronised with a Facewatch test instance in Amazon Web Services in Brazil

… reporting

Alerts to the Facewatch test subscriber back in the UK, all in under 3 seconds from sighting of suspect.

Why?

Because we can, and to demonstrate the flexibility of our cloud-based matching system.

Available now in Brazil., hosted locally in Brazil.

Coming soon elsewhere.

Download the Face-Searcher datasheet here.

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