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Latest CorsightAI Inc. news & announcements

Transforming casino security with facial intelligence

Global Table Games and Game Protection Conference, industry pioneers shed light on persistent security challenges and missed revenue opportunities facing casinos, while unveiling new facial intelligence solutions designed to tackle these issues head-on. Casinos have long struggled with the high costs of inaccuracies in current facial recognition systems, where false positives and negatives can waste significant time and resources. Advanced facial intelligence Reliance on manual identification has further strained security teams, need for more solutions The reliance on manual identification has further strained security teams, highlighting the need for more efficient solutions. A key issue discussed was compliance with self-exclusion policies, particularly in markets like Australia, where casinos face legal risks if self-excluded individuals manage to enter gaming areas.  An integrated solution with AusComply leverages advanced facial intelligence to identify individuals who have voluntarily banned themselves from gambling, issuing real-time alerts to prevent entry and support compliance. New facial intelligence solutions Additionally, the threat posed by known card counters and individuals with a history of fraud remains a significant concern. Facial intelligence technology was showcased as an effective measure for real-time identification, reducing the burden of manual monitoring and enhancing overall security. The conference also highlighted a missed opportunity in VIP customer engagement. Casinos often fail to recognise VIPs upon arrival, resulting in lost revenue potential and weakened guest loyalty. New facial intelligence solutions demonstrated the ability to identify VIP customers based on appearance patterns, enabling personalised service and increasing customer satisfaction and loyalty. Tool for access control The latest facial intelligence technology was presented as a reliable tool for access control Maintaining security in restricted areas is another ongoing challenge, with unauthorised individuals occasionally gaining access, pioneering to potential breaches and financial losses. The latest facial intelligence technology was presented as a reliable tool for access control, ensuring that only authorised personnel enter sensitive spaces. New ISO 42001 standards The discussions underscored the transformative impact of facial intelligence in the gaming industry, offering high-accuracy, real-time solutions that enhance security, support compliance, and elevate customer experience. The discussion also highlighted the importance of data privacy and compliance, with facial intelligence technology aligning with GDPR requirements and adhering to the new ISO 42001 standards, ensuring responsible and transparent use of biometric data in the gaming industry.  

Corsight AI's facial recognition aids Essex Police in Southend

The deployment of new Live Facial Recognition technology by Essex Police resulted in three arrests at the Clacton Airshow on August 22 and two additional arrests in Southend on August 25 and 26, including for sexual assault and common assault cases. Live Facial Recognition technology  The technology, provided by Corsight AI and Digital Barriers, identified individuals wanted for serious offenses, enforced orders against those on a ‘watch list,’ and protected vulnerable individuals at risk of harm. Images of individuals not on the watch list were deleted almost instantly, ensuring no data retention or storage. Keeping people safe Assistant Chief Constable Andy Pritchard stated, “We’re an innovative and forward-thinking force, utilising new technology to keep people safe and deter crime." "Our Live Facial Recognition technology is used to locate people we want to speak to in connection with ongoing investigations and to manage people with court orders or conditions. Criminals cannot think they can walk around our communities without being caught.” Real-time recognition The technology enables Essex Police to recognise faces in real-time and during retrospective investigations The technology, developed through a collaboration between Digital Barriers and Corsight AI, enables Essex Police to recognise faces in real-time and during retrospective investigations. Digital Barriers, known for its patented AI-based video codec and secure edge platform, specialises in delivering live cellular video solutions, including in military operations in Afghanistan, securing royal and presidential events, and the Olympics. AI-based video codec Defence & Government Director at Digital Barriers, explained, “Real-time facial recognition from security cameras, vehicle-mounted cameras, and body cameras is a challenge that very few technologies can perform reliably." "Digital Barriers provides a reliable video stream, and Corsight AI was chosen for its high reliability in challenging conditions such as poor video quality, limited camera angles, darkness, extreme weather, and disguises.” Safety and security Tony Porter, Corsight AI’s Chief Privacy Officer and former UK Surveillance Camera Commissioner added, “Drawing on our vast experience with law enforcement agencies worldwide, Essex Police adhere to the highest standards of fair use and transparency.” Rob Watts, President of Corsight AI, said, “It is a privilege for Corsight AI to contribute to the safety and security of the law-abiding people of Essex.”

Corsight AI & Digital Barriers enhance Essex Police security

Corsight AI's facial intelligence technology, in collaboration with Digital Barriers, has enabled Essex Police to recognise faces both in real-time and during retrospective investigations. Digital Barriers, known for its patented AI-based video codec and secure edge platform, specialises in delivering live cellular video solutions for a range of scenarios, including military operations in Afghanistan, securing royal and presidential events, and the Olympics. Facial intelligence technology To ensure privacy, images of people not on the watch list have been deleted almost now, with no data retention or storage The deployment of facial intelligence technology led Essex Police to make three arrests at the Clacton Airshow on August 22 and two additional arrests in Southend on August 25 and 26. These arrests were related to serious offences, including sexual assault.  The technology, provided by Corsight AI and Digital Barriers, not only identified individuals wanted for serious crimes but also enforced orders against those on a watch list and protected vulnerable individuals at risk of harm. To ensure privacy, images of individuals not on the watch list were deleted almost instantly, with no data retention or storage. Utilising new technology Assistant Chief Constable Andy Pritchard stated, “We’re an innovative and forward-thinking force, utilising new technology to keep people safe and deter crime. Our live facial recognition technology is used to locate people we want to speak to in connection with ongoing investigations and to manage people with court orders or conditions. Criminals cannot think they can walk around our communities without being caught.” Neil Hendry, Defence & Government Director at Digital Barriers, explained: “Real-time facial recognition from security cameras, vehicle-mounted cameras, and body cameras is a challenge that very few technologies can perform reliably. Digital Barriers provides a reliable video stream, and Corsight AI was chosen for its high reliability in challenging conditions such as poor video quality, limited camera angles, darkness, extreme weather, and disguises.” Safety and security Tony Porter, Corsight AI’s Chief Privacy Officer and former UK Surveillance Camera Commissioner, added: “Drawing on our vast experience with law enforcement agencies worldwide, Essex Police adhere to the highest standards of fair use and transparency.” Rob Watts, President of Corsight AI, said: “It is a privilege for Corsight AI to contribute to the safety and security of the law-abiding people of Essex.”

Insights & Opinions from thought leaders at CorsightAI Inc.

We have the technology to make society safer – how long can we justify not using it?

While the application of facial recognition within both public and private spheres continues to draw criticism from those who see it as a threat to civil rights, this technology has become extremely commonplace in the lives of iPhone users. It is so prevalent, in fact, that by 2024 it is predicted that 90% of smartphones will use biometric facial recognition hardware. CCTV surveillance cameras  Similarly, CCTV is a well-established security measure that many of us are familiar with, whether through spotting images displayed on screens in shops, hotels and offices, or noticing cameras on the side of buildings. It is therefore necessary we ask the question of why, when facial recognition is integrated with security surveillance technology, does it become such a source of contention? It is not uncommon for concerns to be voiced against innovation. History has taught us that it is human nature to fear the unknown, especially if it seems that it may change life as we know it. Yet technology is an ever-changing, progressive part of the 21st century and it is important we start to shift the narrative away from privacy threats, to the force for good that LFR (Live Facial Recognition) represents. Live Facial Recognition (LFR) We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition Across recent weeks, we have seen pleas from UK organisations to allow better police access to facial recognition technology in order to fight crime. In the US, there are reports that LAPD is the latest police force to be properly regulating its use of facial recognition to aid criminal investigations, which is certainly a step in the right direction. While it is understandable that society fears technology that they do not yet understand, this lack of knowledge is exactly why the narrative needs to shift. We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition, we respect these anxieties. However, it is time to level the playing field of the facial recognition debate and communicate the plethora of benefits it offers society. Facial recognition technology - A force for good Facial recognition technology has already reached such a level of maturity and sophistication that there are huge opportunities for it to be leveraged as a force for good in real-world scenarios. As well as making society safer and more secure, I would go as far to say that LFR is able to save lives. One usage that could have a dramatic effect on reducing stress in people with mental conditions is the ability for facial recognition to identify those with Alzheimer’s. If an older individual is seemingly confused, lost or distressed, cameras could alert local medical centres or police stations of their identity, condition and where they need to go (a home address or a next of kin contact). Granted, this usage would be one that does incorporate a fair bit of personal data, although this information would only be gathered with consent from each individual. Vulnerable people could volunteer their personal data to local watchlists in order to ensure their safety when out in society, as well as to allow quicker resolutions of typically stressful situations. Tracking and finding missing persons Another possibility for real world positives to be drawn from facial recognition is to leverage the technology to help track or find missing persons, a lost child for instance. The most advanced forms of LFR in the market are now able to recognise individuals even if up to 50% of their face is covered and from challenging or oblique angles. Therefore, there is a significant opportunity not only to return people home safely, more quickly, but also reduce police hours spent on analysing CCTV footage. Rapid scanning of images Facial recognition technology can rapidly scan images for a potential match Facial recognition technology can rapidly scan images for a potential match, as a more reliable and less time-consuming option than the human alternative. Freed-up officers could also then work more proactively on the ground, patrolling their local areas and increasing community safety and security twofold. It is important to understand that these facial recognition solutions should not be applied to every criminal case, and the technology must be used responsibly. However, these opportunities to use LFR as force for good are undeniable.   Debunking the myths One of the central concerns around LFR is the breach of privacy that is associated with ‘watchlists’. There is a common misconception, however, that the data of every individual that passes a camera is processed and then stored. The reality is that watch lists are compiled with focus on known criminals, while the general public can continue life as normal. The very best facial recognition will effectively view a stream of blurred faces, until it detects one that it has been programmed to recognise. For example, an individual that has previously shoplifted from a local supermarket may have their biometric data stored, so when they return to that location the employees are alerted to a risk of further crimes being committed. Considering that the cost of crime prevention to retailers in recent years has been around £1 billion, which therefore impacts consumer prices and employee wages, security measures to tackle this issue are very much in the public interest. Most importantly, the average citizen has no need to fear being ‘followed’ by LFR cameras. If data is stored, it is for a maximum of 0.6 seconds before being deleted. Privacy Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story. It is essential we spend more time and effort communicating exactly why watchlists are made, who they are made for and how they are being used, if we want to de-bunk myths and change the narrative. As science and technology professionals, heading up this exciting innovation, we must put transparency and accountability at the centre of what we do. Tony Porter, former Surveillance Camera Commissioner and current CPO at Corsight AI, has previously worked on developing processes that audit and review watch lists. Such restrictions are imperative in order for AI and LFR to be used legally, as well as ethically and responsibly. Biometrics, mask detection and contactless payments Nevertheless, the risks do not outweigh the benefits. Facial recognition should and can be used for good in so many more ways than listed above, including biometric, contactless payments, detecting whether an individual is wearing a facemask and is therefore, safe to enter a building, identifying a domestic abuse perpetrator returning to the scene of a crime and alerting police. There are even opportunities for good that we have not thought of yet. It is therefore not only a waste not to use this technology where we can, prioritising making society a safer place, it is immoral to stand by and let crimes continue while we have effective, reliable mitigation solutions.  

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