Bengaluru: India has no law expressly authorising police to deploy live facial-recognition technology (FRT) at protests, religious congregations and other public gatherings, senior lawyers told ET, warning that any such use could face constitutional challenge.The issue has gained urgency as a petition before the Delhi High Court has challenged alleged continuous surveillance of people participating in the ongoing students’ protest at Jantar
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Business NewsTechTech & Internet No specific law authorises live facial recognition at protests, legal experts warn
No specific law authorises live facial recognition at protests, legal experts warn
Synopsis
India currently lacks specific laws authorizing police facial recognition use at public gatherings. Lawyers warn that such deployments may face constitutional challenges and privacy concerns. The Supreme Court's privacy ruling requires strict safeguards for any technology use. A comprehensive parliamentary framework is needed to regulate facial recognition technology. Non-matching facial data should be deleted immediately after searches.
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Jul 25, 2026 · via m.economictimes.com
The Facebook Verified badge is a new free identity verification feature from Meta designed to confirm that individual Facebook users are real people. The verification process uses a facial recognition selfie that is compared with existing profile photos and is available to users aged 18 or older who are in good standing with Facebook's Community Standards. Once verified, the badge appears across Facebook services including Marketplace and Dating, serving as identity confirmation rather than an endorsement of trustworthiness. The feature is intended to help users distinguish authentic profiles from AI-generated accounts and fraudulent identities as synthetic content becomes more widespread online. Unlike the paid Meta Verified subscription, the new badge is free and is limited to personal accounts, excluding Pages and Professional Mode profiles. Meta will begin rolling out the feature in select markets from Monday before expanding availability globally. Image Credit: Facebook Why This Trend Is Growing - Free Identity Verification - No-cost verification badges create space for platforms to scale authenticity signals without relying on premium subscription models. - Human-first Social Profiles - As AI-generated accounts proliferate, verified human identity layers can reshape how users assess legitimacy across social, dating, and commerce environments. - Facial Recognition Access - Selfie-based identity checks introduce new possibilities for balancing fraud prevention, user convenience, and privacy-sensitive account authentication. Industries Being Reshaped - Social Media - Platform-wide identity markers can strengthen user confidence while differentiating authentic personal accounts from synthetic or fraudulent profiles. - Online Marketplaces - Verified human badges may reduce transaction friction by giving buyers and sellers a clearer signal of account legitimacy during peer-to-peer exchanges. - Digital Dating - Identity-confirmed profiles offer dating services a potential trust layer as users seek safer ways to distinguish real people from deceptive accounts.
Jul 24, 2026 · via trendhunter.com
UC San Diego Electrical Engineer Receives Popov Prize for Research in Approximation Theory Rahul Parhi received the 2026 Vasil A. Popov Prize in recognition for his distinguished research accomplishments in approximation theory and related areas of mathematics Story by: Published Date Article Content Rahul Parhi, an assistant professor in the Department of Electrical and Computer Engineering at the University of California San Diego Jacobs School of Engineering, has received the 2026 Vasil A. Popov Prize. This prize recognizes distinguished research accomplishments in approximation theory and related areas of mathematics. Parhi’s research centers on applied harmonic analysis, applied functional analysis, and the mathematics of data, with connections to signal processing, machine learning, statistics, and optimization. His current work focuses particularly on the mathematical foundations of neural networks. By studying these models through the lens of function spaces, he investigates their approximation and statistical properties, as well as the implicit and inductive biases introduced during neural network training. At a high level, Parhi seeks to understand the mathematical principles underlying modern artificial intelligence. Neural networks are often described in terms of their architectures and the large collections of parameters learned during training. Parhi instead studies the end-to-end functions represented by these networks. His work examines which functions neural networks can approximate efficiently, how architecture and training procedures favor certain solutions, and when a learned model can be expected to perform well on previously unseen data. Vasil A. Popov Prize The Vasil A. Popov Prize was established in 1995 in memory of Bulgarian mathematician Vasil A. Popov. It is awarded every three years to a mathematician who is removed less than 6 years from their doctoral degree. The Prize recognizes distinguished research accomplishments in approximation theory and related areas of mathematics. Parhi was presented with the award on July 13, 2026 by University
Jul 24, 2026 · via today.ucsd.edu
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Jul 24, 2026 · via youtube.com
Figures Abstract To tackle the challenges in fine-grained retrieval stemming from noise, official seal occlusions, small text blocks, and other issues prevalent in archival text images, and to fulfill the requirements of integrating both textual and visual dual features while enhancing retrieval accuracy and efficiency, this study has devised a five-tier architectural model. This model comprises an input layer, a preprocessing layer, a scene graph generation layer, an attention fusion layer, and a retrieval matching layer. The model incorporates a dedicated scene graph generation module tailored for archival data, aiming to enhance element detection. Additionally, it features a three-tier attention fusion module that integrates scene graph, text, and cross-modal features to ensure precise feature alignment. Training is carried out using a multi-task loss function, and an index is created to streamline retrieval and matching processes. Experimental results show that the proposed model achieves a Top-1 accuracy of 83.7% and an average precision of 88.3% on the test set, representing a 25.1% improvement over the Top-1 accuracy of an optical character recognition (OCR) combined with word frequency and inverse document frequency model. The proposed model achieves a Top-1 accuracy of 6.1% higher than the archival retrieval network model for examples with official seal occlusion and a Top-1 accuracy of 76.8% for small text blocks. The response time for a single retrieval is 52.6ms. Research provides technical support for efficient retrieval of large-scale archives in archives, effectively solving the problem of archive retrieval in complex scenarios, and significantly improving the efficiency of archive management and utilization. Citation: Zhang M (2026) Construction of a fine-grained retrieval model for archival text-image based on the integration of scene graph generation and attention mechanism. PLoS One 21(7): e0353505. https://doi.org/10.1371/journal.pone.0353505 Editor: Rehan Ashraf, National Textile University, PAKISTAN Received: December 21, 2025; Accepted: June 24, 2026; Published: July
Jul 24, 2026 · via journals.plos.org
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Jul 24, 2026 · via youtube.com
SUMTER COUNTY, Fla. — A Sumter County detective has been fired and arrested after investigators say she used law enforcement surveillance tools to track her husband’s ex-wife for personal reasons. Detective Brandy Almany was arrested on July 23, 2026, and charged with official misconduct and multiple counts of offenses against computer users. She bonded out of jail later that night. According to Sumter County Sheriff Patrick Breeden, an internal audit revealed that Almany accessed several restricted databases, including the Flock Automated License Plate Recognition (ALPR) system, the Florida Driver and Vehicle Information Database (DAVID), and the Comprehensive Case Information System (CCIS). Investigators say Almany created fake electronic records, using unrelated case numbers to make her personal searches look like legitimate police investigations. Upon her arrest, she was immediately terminated from the department. In response to the breach, Sheriff Breeden has suspended the use of all Flock cameras within the Sumter County Sheriff’s Office. He has also ordered a complete internal audit of all law enforcement databases used by his agency. “While I do believe these systems are a valuable tool for law enforcement, due to these circumstances, I have ordered a complete internal audit of all the databases and I have suspended the use of Flock in the Sumter County Sheriff’s Office,” Breeden said in a statement. While Sumter County has hit the pause button, similar camera technology is widely used across Central Florida. The region has one of the highest concentrations of these devices in the state. These cameras are not limited to police cars or street poles; they can be found at trailheads, private communities, and public parks. Some newer models, such as Axis cameras, have the *capability* to perform facial recognition. However, having the capability does not necessarily mean the technology is actively being used for that
Jul 24, 2026 · via wftv.com
Figures Abstract Retinitis pigmentosa (RP) is a group of inherited retinal diseases that are caused by genetic defects that lead to progressive photoreceptor loss and eventual blindness. Early diagnosis would be helpful for effective management of the disease; however, many patients stay unaware of early symptoms. Meanwhile, fundus images are widely obtained during routine medical checkups but are underused for detecting RP. This study explores the effectiveness of finetuning deep learning models, pre-trained for general visual tasks, to identify RP from color fundus images. The dataset comprised 321 color fundus images from 201 Japanese subjects at Keio University Hospital, including 200 images from 107 patients with retinitis pigmentosa and 121 images from 94 non-retinitis pigmentosa subjects. Multiple images were available for some subjects. Using transfer learning, pretrained convolutional neural network models -VGG16, Resnet50, and InceptionV3- were finetuned to detect RP. As a result, Inception V3 achieved the best accuracy of 96.97%, which matches the average diagnostic accuracy of ophthalmologists. Gradient-weighted Class Activation Mapping (Grad-CAM) suggested that the model attended to clinically relevant fundus regions, including the peripheral retina and posterior pole, which may reflect features such as peripheral degenerative changes and retinal vascular attenuation. These findings support the potential interpretability of the finetuned model and suggest that deep learning may assist ophthalmologists in RP screening as a supportive tool. Citation: Ubukata S, Masayoshi K, Katada Y, Yang L, Ozawa N, Ibuki M, et al. (2026) Fundus image analysis of retinitis pigmentosa using artificial intelligence. PLoS One 21(7): e0354452. https://doi.org/10.1371/journal.pone.0354452 Editor: Vahid Mansouri, Tehran University of Medical Sciences, IRAN, ISLAMIC REPUBLIC OF Received: November 26, 2025; Accepted: July 8, 2026; Published: July 24, 2026 Copyright: © 2026 Ubukata et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution,
Jul 24, 2026 · via journals.plos.org
For biometric ticketing, privacy need not be obstacle to innovation: Attain Insight The transformation of the fan experience continues across professional sports leagues, and biometrics are poised to play a major role in the stadiums of the future. But, according to Attain Insight, the challenge is choosing an approach that balances convenience, security, and privacy. Long lines are a drag on merchandise and concession sales. “Every additional minute spent waiting impacts both the visitor experience and venue revenue,” says a recent post on the Attain Insight blog. “At the same time, venues cannot afford to compromise on security. Operations teams are under constant pressure to move thousands of people safely and efficiently through a limited number of access points while maintaining compliance with evolving privacy expectations.” Add compliance pressures to the mix, and the problem becomes increasingly complex. But the solution need not be. Facial ticketing has emerged as an attractive option for venues looking to improve both security and the guest experience. Getting fans through the gates faster is not the only benefit. Biometrics can reduce staffing requirements at entry gates, provide stronger security through reliable identity verification and enable focused fan experiences to elevate game day. But fans increasingly demand both convenience and strong privacy protections; “these expectations are no longer competing priorities.” With the power of data collection comes data responsibility. Privacy built in to SPAn ticketing architecture Attain Insight says facial ticketing does not have to depend on storing identifiable facial biometric data. “A new generation of privacy-enhancing technology called Search Preserving Anonymization (SPAn) makes it possible to verify a person’s identity using anonymized biometrics,” the company says, by way of introducing its Intrinsic biometric ticketing product. “Rather than keeping information that could identify an individual, the technology anonymizes a facial image for matching only, and
Jul 24, 2026 · via biometricupdate.com
HARRISBURG- Two Republican representatives are looking to regulate and place what they call “reasonable safeguards” on the use of automated surveillance technologies that include automated license plate readers (ALPRs) and facial recognition systems. Representative David Rowe’s bill would, he says, create clear statewide standards governing how these technologies are used, including limitations on the collection and retention of personally identifiable information and requirements for judicial oversight in certain circumstances. Representative Josh Bashline’s bill would authorize municipalities to determine whether automated license plate readers may be installed within their communities. “These tools can serve legitimate law enforcement purposes, but Pennsylvanians should not have to choose between public safety and their constitutional right to be free from unreasonable government surveillance,” Rowe said. “We can—and should—protect both. I believe these bills strike that balance by protecting Pennsylvanians’ privacy while ensuring that police have access to critical information in dire situations.” Rowe said advances in surveillance technology have made it possible to collect, store, and analyze information about individuals on a scale that was unimaginable just a generation ago. While those capabilities can aid criminal investigations, he said they also underscore the need to ensure technological innovation does not outpace the constitutional protections guaranteed by the Fourth Amendment. “Communities across Pennsylvania have different needs and different perspectives when it comes to the use of surveillance technology,” Bashline said. “Local elected officials should have the authority to determine whether automated license plate readers are the right fit for their communities. This legislation gives municipalities a voice while preserving the ability of law enforcement to utilize these tools where they have local support.” A co-sponsorship memo for both bills has been circulated to members of the House, with formal legislation expected to be introduced soon.
Jul 24, 2026 · via tristatealert.com
Across India, digital surveillance systems are increasingly becoming a key part of modern policing, with law enforcement agencies deploying networks of CCTV cameras, facial recognition technology, drone-based monitoring, automated number plate recognition systems and AI-powered video analytics. While authorities argue that such tools improve public safety and policing efficiency, their growing use has also raised concerns among civil liberties groups over privacy, proportionality, transparency, and the absence of a comprehensive legal framework governing state-sponsored surveillance. What surveillance technology has Delhi Police deployed? One vehicle at the site is a Mobile Command and Control Vehicle, where police personnel examine live CCTV feeds. The second is called Ikshana, a mobile surveillance van inducted ahead of the G20 Summit in Delhi in 2023. Ikshana has eight fixed cameras providing a 360-degree view. Its technology partner, CP Plus, says the vehicle supports face detection and recognition, number-plate recognition, traffic management, crowd monitoring, and on-the-spot video analytics. At Jantar Mantar, footage from cameras in the area is being run through facial recognition software, which places boxes around detected faces and compares them with images in police databases. A senior officer told The Indian Express that the purpose was to check whether the system flags anyone matching the police’s database of criminals. The Delhi Police has not publicly detailed the database’s size or composition, the software’s accuracy at the protest site, or the procedure followed after a possible match. Story continues below this ad Some reports on social media have also said that the police are wearing AI-enabled smart glasses to surveil protesters. During the Republic Day celebrations earlier this year, the Delhi Police had used AI-enabled smart spectacles equipped with an integrated facial recognition system and thermal imaging technology. The product is developed by an Indian company called AjnaLens. The Delhi Police did not respond
Jul 24, 2026 · via indianexpress.com
As the crowd continues to swell at Jantar Mantar, the Delhi Police have deployed powerful cameras and at least three mobile surveillance vans around the venue. The devices continuously capture live images and run them past a police database to identify and isolate people with criminal records. Also read: Jantar Mantar protest updates on July 24 On Thursday (July 23, 2026) night, additional CCTV cameras were installed around Jantar Mantar and the images were played on screens inside a mobile police control room. The protesters have expressed apprehension over the use of such technology. “It is quite scary as we have not informed our parents about coming to the protest,” said Anushka, a first-year Delhi University student who was at the site for the first time on Friday (July 24). “We have been using masks to cover our faces, but it may not work against surveillance mechanisms of the Delhi Police. It is highly unethical of them to use it without our consent even if it is for surveillance of criminals,” she added. Another participant said surveillance has been under way since the first day of the protest. “Drones, videographers, CCTVs have been capturing visuals of the protest. The police say it is to track criminals but what is the intent behind this usage? Also, how can AI cameras determine the intent of the person at the protest?” asked Anuj Sharma from Dehradun, adding that it does not scare him. The Delhi Police have deployed its DP-Dristhi and Ikshana surveillance vans and a Mobile Command and Control Vehicle, which uses AI-assisted facial recognition technology to scan live CCTV feeds. The police say the technology is used to identify known offenders and investigate violence, while protesters say it has created fear among them about police surveillance and misuse of footage. The
Jul 24, 2026 · via thehindu.com
NEW DELHI: Delhi police has identified more than 2,500 people with criminal backgrounds through Facial Recognition System deployed around the protest site at Jantar Mantar, news agency PTI reported, citing sources. "The technology has so far helped identify over 2,500 persons with criminal antecedents. It acts as a strong deterrent and allows us to keep a close watch on those who may attempt to misuse the protest to create law and order problems," sources told PTI. According to the sources, the FRS units have been positioned at key entry and exit points around the protest site and are directly linked to the Delhi Police database. "The objective is to ensure that people with criminal backgrounds do not exploit the protest to create law and order issues," sources told PTI. "The system is connected with the Delhi Police database and can identify wanted criminals, absconders, history-sheeters, and Bad Characters (BCs) whose details already exist in police records," they added. According to an officer, the FRS does not target ordinary protesters but is meant to identify those with criminal antecedents who may attempt to take advantage of large gatherings." These are high-resolution cameras capable of capturing facial images even from a distance. Once a face is captured, it is quickly matched with the police database. If a wanted or absconding accused is detected, the concerned police unit is immediately alerted, and legal action can be initiated without delay," he said. Police said the technology will also help identify habitual offenders who have repeatedly figured in criminal cases and are listed as "Bad Characters" in Delhi Police records." The deployment acts as both a preventive and investigative tool. It helps us remain alert against anti-social elements who may try to infiltrate the protest, create a nuisance, or disturb law and order," another officer
Jul 24, 2026 · via timesofindia.indiatimes.com
As OpenAI looks to go public and join the growing list list of blockbuster AI IPOs, it can be easy to forget that it was a fledgling startup not too long ago. Despite existing for just over a decade, the company remains unmatched in its impact on the artificial intelligence industry, with its ChatGPT chatbot transforming generative AI into an everyday tool that has taken over mainstream discourse and spurred unprecedented investment in the sector. What to Know About OpenAI OpenAI is an AI startup that used its research in large language models and deep learning to build the chatbot called ChatGPT, bringing artificial intelligence into everyday life. The company has restructured itself into a for-profit business to raise more funds in pursuit of artificial general intelligence — a higher form of AI that could exceed human intelligence and pose greater uncertainty to the future of work. As OpenAI continues to build momentum, we’re taking a closer look at the startup’s early days, its current outlook and how its products could reshape various aspects of daily life, from intimate relationships to career prospects. What Is OpenAI? OpenAI is an AI startup founded in 2015 to pursue “human-level intelligence” that would benefit the greater good, not just company shareholders. The company took inspiration from advances in areas like machine translation and image recognition, believing this progress put machines that could “experience the world” as humans do within reach. Co-founders Sam Altman and Elon Musk originally served as OpenAI’s co-chairs, Ilya Sutskever became research director, Greg Brockman transitioned from Stripe as CTO and Andrej Karpathy joined as one of the founding research scientists. The company also had plenty of help from Microsoft early on, partnering with the tech giant in 2016 to access the cloud infrastructure and resources needed to sustain its
Jul 24, 2026 · via builtin.com
NEW DELHI: Delhi Police has deployed four Facial Recognition System (FRS) units around the NEET protest site at Jantar Mantar to identify wanted criminals, absconders, and habitual offenders, news agency PTI reported, citing sources. According to the sources, the FRS units have been positioned at key entry and exit points around the protest site and are directly linked to the Delhi Police database. "The objective is to ensure that people with criminal backgrounds do not exploit the protest to create law and order issues," sources told PTI. "The system is connected with the Delhi Police database and can identify wanted criminals, absconders, history-sheeters, and Bad Characters (BCs) whose details already exist in police records," they added. According to an officer, the FRS does not target ordinary protesters but is meant to identify those with criminal antecedents who may attempt to take advantage of large gatherings. "These are high-resolution cameras capable of capturing facial images even from a distance. Once a face is captured, it is quickly matched with the police database. If a wanted or absconding accused is detected, the concerned police unit is immediately alerted, and legal action can be initiated without delay," he said. Police said the technology will also help identify habitual offenders who have repeatedly figured in criminal cases and are listed as "Bad Characters" in Delhi Police records. "The deployment acts as both a preventive and investigative tool. It helps us remain alert against anti-social elements who may try to infiltrate the protest, create a nuisance, or disturb law and order," another officer said. The installation of the FRS forms part of enhanced security arrangements around Jantar Mantar.
Jul 24, 2026 · via timesofindia.indiatimes.com
Do you remember the time when you couldn't walk to the shops without someone recognising you? With the breakdown of modern society, you may have thought those days were gone, but they're coming back, sort of. Supermarkets are installing facial recognition cameras to try to stop the worst shoplifters. It won't lead to a chat and a catch-up, but at least someone will still know who you are. Sainsbury's already has them in 55 stores and is rolling them out to 200 by Christmas. Tesco, M&S, Boots and Primark are already using a related system that photographs shoplifters and shares the images with a database accessible to police. The case for this is straightforward. Shoplifting offences hit 530,000 in England and Wales last year, a record high, up 20% from the year before. Store workers experience 1,600 incidents of abuse and violence every single day. It makes sense to have a system to identify those bad people. When a store works out that such a criminal has walked into their store, they can send a security guard to stand near them while they shoplift and do absolutely nothing about it, but at least they don't have to find out about it after the fact. I understand the argument for it. I also understand that every time I walk into a Sainsbury's, my face is now being scanned and compared against a database. They say the non-matches are deleted instantly, but I have to take Sainsbury's word for it, which is the same Sainsbury's that charged me £3.90 for a sandwich last Tuesday. Supermarkets already use cameras to show you your own face on a little screen when you're using the self-scan. Presumably, that's to put you off shoplifting, but it just reminds me how bald I look. I walk in
Jul 24, 2026 · via enfieldindependent.co.uk
Why some protesters at Jantar Mantar have their faces covered A senior Delhi Police officer confirmed that they were using live facial recognition on protesters at the site, saying it was being done to identify any known criminals. Parked outside the Kerala House building near Jantar Mantar — the heart of the ongoing student protests in the Capital — are two highly-equipped surveillance and monitoring vans deployed by the Delhi Police, keeping a constant watch on people joining the stir. In the bigger van, called the ‘Mobile Command and Control Vehicle’, some Delhi Police personnel are examining live CCTV footage of people at the protest. Opposite to it is a smaller van, called ‘Ikshana’ (Sanskrit for to look or sight), where two officers stand watch as the footage is run through an Artificial Intelligence (AI)-aided facial recognition software, which shows green boxes around each face as it tries to match it with a police database. The Delhi Police had inducted the Ikshana van, describing it in a social media post as a “live CCTV surveillance vehicle”, ahead of the G20 Summit in New Delhi in 2023. The vehicle is equipped with eight “state-of-the-art fixed cameras” for 360-degrees field of view, and is manned by trained CCTV operators. A senior Delhi Police officer confirmed that they were using live facial recognition on protesters at the site, saying it was being done to identify any known criminals. “We have a large database of criminals, with their pictures. So, we run facial recognition on the footage that is received from the various CCTVs in the area, to see if it flags any face the software matches with someone on our criminal database,” said the officer, requesting anonymity as he was not authorised to speak to the media. However, students at the protest said
Jul 24, 2026 · via indianexpress.com
I made it past 3 airport checkpoints with stranger’s boarding pass in major security flub that even left Delta stunned See more of our coverage in your search results. Add The New York Post on GoogleFlyer beware. A Delta passenger has claimed he was able to make it past nearly four security checkpoints with his government-issued ID in hand, but a stranger’s plane ticket — and it all started with his dog. B.R. (The Post has chosen not to reveal his full name to respect his privacy) checked into his flight at the Priority counter in the Miami International Airport on July 7. During check-in, the tech entrepreneur noticed that the agent incorrectly stated his service dog wasn’t included in his reservation to LaGuardia Airport. The tech mogul told the Delta agent it must be an error, as he has been traveling under the same Delta profile for 11 years. He also noticed a small seat mistake; the printed boarding pass reflected seat 2A instead of 3A, his assigned seat. A tiny mishap, but enough for pause. “When I asked why I had been moved, the agent could not provide an explanation,” B.R. told The Post. The gate agent made the adjustments to include his service dog but left his seat at 2A as B.R. decided it was an insignificant error. He was then given the paper ticket and then sent to the security line. After checking his two bags, the first class flyer claims he made it through TSA PreCheck, including the facial recognition process, all with someone else’s boarding pass — successfully clearing every checkpoint. B.R. did note one roadblock: He alleged an airport employee scanned his boarding pass at CLEAR Plus — a private security membership where, instead of showing your physical ID, an eye or face
Jul 24, 2026 · via nypost.com
To reduce the risk of getting locked out of my Google account, I’ve completed one of its newer security checks: a selfie‑style video that verifies my identity. Google rolled out a new feature on Thursday, by which you can access your account by using a selfie video. It’s a fallback method in case you can’t access your account via the typical methods of password, passkey or backup email address. The feature is being rolled out to Google account holders. Check here to see if you’re eligible. After you create the optional selfie video, Google will save it in your security settings. Then, if you can’t get into your account via password, passkey, backup email address or any other way, you can record another selfie video that Google will compare to your saved one to restore your access. In that second video, Google asks you to move your head in certain ways so it can compare them to your original selfie. The facial recognition industry is growing fast. Global market revenue will triple over the next eight years, according to one estimate. More than 131 million Americans use facial recognition daily, and 70% of governments use it extensively, according to photo service PhotoAid. Google’s new selfie‑video verification is yet another sign that everyday account recovery is becoming a biometric process rather than a password problem. Going on camera I’ve already got several sign-in methods set up with my Google account — password, passkey, backup email, phone number — among several ways of accessing accounts. But I wanted to try the selfie video method. First, I went to this link to see if the feature was available to me, and it was. I then agreed to various terms to continue — Google reviewing my selfie to make sure I was a real
Jul 23, 2026 · via cnet.com
Live facial recognition technology will scan public areas across North Yorkshire in the coming months to identify wanted criminals and protect vulnerable people. Live facial recognition cameras will scan crowds across North Yorkshire in the coming months to identify wanted criminals and protect vulnerable people. Police chiefs confirmed the rollout of the technology, which compares live video footage against a bespoke watchlist of individuals. Chief Constable Tim Forber backed the rollout: "I am keen to get on with this. I think it's a really important technology. I do expect it to be used in North Yorkshire in in the coming months. And I think it is an important tool in terms of making sure that people who who are wanted, who do present a threat to the communities of North Yorkshire are identified as quickly and as simply as possible and we but we do that in a way that is transparent so the public can see it." The system will alert officers when a potential match passes a camera. Human operators will then review the footage before deciding whether to intervene. Detective Chief Constable Jez Bartley outlined how the system operates in practice: "So it it will take a a a snapshot of a subject's face and then match that to the watch list to see whether the algorithms meet and then that will then flag up to an operator in the van who will have that human eye and decision-making over whether they put that out to the engagement officers outside of the van, that are positioned to engage in man in a red top, please stop that person he's wanted for burglary, potentially. And then they will then do their due diligence as they would on the streets if they stopped someone they thought was wanted for
Jul 23, 2026 · via thisisthecoast.co.uk