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Video surveillance or monitoring is an important ingredient of modern life. Research conducted by the 2017Centre for Information, Intelligence and Security Systems` (CIISS), into improving the reliability of automated detection of visual entities in videos, has made an impact on public services and on practitioners (increased speed and quality, lower labour cost — Beneficiaries: U.K. Police; police investigators) and their health (mitigation of potential physical or psychological harm — Beneficiaries: police investigators), on society (reduction of a factor associated with crime rates and legal costs — Beneficiaries: the public; tax-payers), and on business (creation of a spin-out company - Adaptive Video Analytics Technologies Ltd — Beneficiaries: UK; and influence on management decisions about technology choices — Beneficiaries: Serco Group plc (HMP Dovegate)).
Research at Kingston University into methods for tracking pedestrians and monitoring crowds using computer vision techniques has been translated into commercial products by Ipsotek Ltd and BAe Systems, resulting in economic benefits to these companies from sales of these products.
These products have been sold to high-profile customers including the London Eye, the O2 Arena and the Australian Government, providing significant commercial benefits, employment and growth for both companies, as well as providing an economic impact for these customers.
Motion blur is the effect that occurs when objects are filmed at speed. Researchers at Bournemouth University's (BU) National Centre for Computer Animation (NCCA) developed a new approach to more accurately model this effect in 3D image production. This produces aesthetically superior images without any penalty in rendering time. The technique was implemented by Pixar in their own films and in the commercial PRMan software they supply to other animation and effects studios in New Zealand, Canada, the USA and the UK, among others. As well as contributing significantly to Pixar's revenue, the technique improves the viewing experience and has been used on virtually every major feature film produced since 2008. This contributes to the global animation industry worth $207 US billion (2012, R1).
A new multi-purpose computer vision system to identify sub-standard food products has been created. The research developed a user-trainable software technology with a range of possible applications, thus overcoming the specificity and other limitations such as the high set-up cost of existing visual inspection systems. This research is achieving impact in several areas within the food industry, including quality analysis of fresh produce, food processing and food packaging. The technology is currently being trialled at the leading post-harvest applied research facility for agricultural storage in the UK, and is also being licensed to a world-leading supplier of food packaging machines and equipment for inclusion in a new product range under development. The longer-term impacts include safer food, reduced food waste, more efficient food production, and better use of natural resources (e.g. reduced use of water, pesticides and other inputs), through early detection of potentially harmful flaws in production and packaging.
This Keele University research into advanced signal processing and classification methods has led to novel algorithms capable of isolating subtle patterns in complex data. This has been applied in two highly significant application areas: first to the problem of image source identification and second to the problem of unobtrusive but highly secure authentication methods. In the first case this has enabled images captured by mobile phone cameras to be reliably and evidentially linked to source devices. This has huge applicability to those fighting terrorism, paedophile rings and civil unrest by extending detection capabilities to mobile phones in an era in which they are rapidly replacing dedicated cameras. It helps to prove, for example, that a photograph entered as evidence was captured by a specific mobile phone. As most phones can be tied to their user or owner this is extremely important to the successful detection and prosecution of offenders.
In the second case it has enabled criminal record checks to be carried out securely online where previous paper-based systems were both too slow for purpose (taking weeks or months) and inherently insecure, leaving key posts unfilled in the health care industries and education sector; so benefitting the public by solving a problem that was having a negative impact on the running of these public services.
Research at the University of Cambridge Department of Engineering on computer vision tracking led to the creation of Extra Reality Limited in 2010, which was subsequently acquired by a new company called Zappar Limited in May 2011. Zappar employs 17 staff and had revenue of GBP612k in the financial year 2012/13, an increase of 35% on the previous year.
Over 50 different brands have used Zappar's augmented reality application across more than 300 offerings in over 17 countries to deliver entertainment-based marketing interactions from 2011 to 2013. [text removed for publication] Examples of partners include Disney, Warner Brothers and Marvel. Zappar has changed attitudes in the media sector by showing that "augmented reality is finally ready for prime time" (President, Creative Strategies Inc, Time Online, 2012).
From strains within a single carbon fibre to deflections in a bridge, dam or railway line, accurate measurement is vital to industry and public infrastructure. In many engineering contexts, traditional approaches to measurement are inadequate or involve unacceptable costs and delays. These shortcomings have been addressed by the University of Bristol's research into high-precision, video-based metrology and its application through Imetrum, a spin-out company. Imetrum was founded in 2003 and launched its first product - the Video Gauge - in 2007. In the area of mechanical testing, the company has brought the first video-based extensometry system that can be supplied calibrated to international standards to market. For structural monitoring and safety inspections, deformation measurements are usually required. The Imetrum system is being used to precisely measure such deformations in rail bridges and other vital parts of the infrastructure without costly and inconvenient interruptions to their operation. Imetrum has approximately doubled its turnover each year since 2007. [text removed for publication].
Research conducted within the School of Physical Sciences (SPS) at the University of Kent has led to the development and successful commercialisation of facial identification software named EFIT-V. First sold in 2007, this software is now used by more than 70 police forces internationally and has revolutionized the way eyewitnesses and victims of crime create computerised facial likenesses of offenders. These images are circulated to police intelligence units, and the general public, leading to the identification and arrests of offenders. Police Identification rates have jumped from 5% to 55% as a result of this software. With a current annual turnover exceeding £250K, which is projected to reach £600K by 2015, Kent spinout company Visionmetric has made significant impact with EFIT-V, and achieved a position of commercial dominance in the UK, and around the world.
Research (1993-2008) on novel silicon architectures and design methodologies for digital signal and video processing led to the creation of world leading semiconductor IP cores (chip designs) for implementing the main video and image compression standards including H.264, MPEG4, MPEG2, and JPEG2000. These have been licensed to semiconductor manufacturers worldwide including Panasonic, Sony, Toshiba and Sharp. Since 2008, such encoders/decoders have been incorporated into all DTV/HDTV SoCs produced by Conexant, NXP, Trident Microsystems and Entropic. They have also been used as the hardware acceleration engines in Intel's C2110 Media Processor. At least 150 million chips worldwide having been manufactured incorporating this technology.
Memory violations are a major cause of security breaches and operational flaws in today's software systems. Proving memory safety was traditionally a core challenge in program verification due to the high complexity of reasoning about pointer manipulations. Researchers at Queen Mary and Imperial jointly produced breakthrough algorithms for automatically reasoning about pointers, enabling highly-scalable automatic verification for industrial code. These techniques resulted in the industrial program analysis tool INFER developed by Monoidics Ltd, and used by customers across the world. The verification algorithms developed at Queen Mary and Imperial were also incorporated in Microsoft tools used to secure Windows device drivers.