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
You do not have permission to retrieve the URL or link you requested,
If you think this was a mistake please call 1300 134 174 or e-mail customercare@realestate.com.au
and quote the reference number #18.e8f12417.1784880278.caae1a9e
Jul 23, 2026 · via realestate.com.au
Former UK biometrics watchdog’s new book argues AI surveillance can be deployed responsibly The use of AI in surveillance technologies has expanded both in number of deployments and the scope to which AI is applied, leading to new questions about how to use it in an accountable and ethical way. Former UK Biometrics and Surveillance Camera Commissioner and longtime Biometric Update columnist Fraser Sampson argues that AI surveillance can and must be deployed ethically and offers practical perspective on how to do so. His new book, How AI-Driven Surveillance is Changing our World: Do Robots Have the Right to Remain Silent?, expands on a series of essays first published in Biometric Update. It examines how citizens, policymakers and practitioners can understand the challenges posed by AI surveillance technology and its implications. Sampson draws on his experience in law enforcement, legal practice and regulation. Key considerations for controversial areas of policy and law enforcement are explored using real-life examples, and applying Sampson’s triptych analysis, which consists of what is technologically possible, legally permissible and societally acceptable. Since leaving the BSCC role in 2023 when legislation (that ultimately failed) to eliminate the position was tabled, Sampson has joined Facewatch in a non-executive director role. He is also an Honorary Professor and member of the Advisory Board at the Centre for Excellence in Terrorism, Resilience, Intelligence and Organised Crime research at Sheffield Hallam University. He previously served as the national chair of the Association of Police and Crime Chief Executives and CEO and solicitor to the Police and Crime Commissioner for West Yorkshire before being seconded as CEO to the Police, Fire & Crime Commissioner in North Yorkshire. With the UK among global leaders in deployments of real-time facial recognition by police and retailers alike, Sampson brings a unique perspective on balancing technological
Jul 23, 2026 · via biometricupdate.com
Lee Introduces PROTECT Act to Prevent Online Child Exploitation July 23, 2026 WASHINGTON – U.S. Senator Mike Lee (R-UT) introduced legislation to shield children and other victims of sexual abuse from exploitation online. The Preventing Rampant Online Technological and Criminal Trafficking (PROTECT) Act requires platforms with explicit material to take reasonable steps to verify the age and consent of individuals who upload or appear in the content, while remaining consistent with First Amendment jurisprudence. “Pornography sites need to do more to prevent the rampant child exploitation that is occurring on their platforms. The PROTECT Act is a step in that direction,” said Senator Mike Lee. “This bill will verify the ages and consent of the people appearing in explicit content – stopping abusive material from ever getting uploaded in the first place.” Background The online pornography market has quickly become one of the most lucrative industries, but much of the material in circulation is the product of sex trafficking and child exploitation. Though law enforcement diligently investigates and prosecutes individuals who distribute child sexual abuse material (CSAM), pornography platforms regularly fail to verify the age, identity, or consent of depicted individuals. This carelessness allows human traffickers and websites to profit from underage or non-consenting individuals forced or coerced to participate. Senator Lee advocates for greater accountability in the online pornography market by proposing legislation that requires platforms to vet the content they distribute. Each safeguard imposed by the PROTECT Act creates an additional barrier to the circulation of exploitative material, reducing online sexual exploitation and image-based sexual abuse. Why This Matters Existing security measures demonstrate the technological and operational feasibility of implementing safeguards. Federal statutes such as 18 U.S.C. § 2257 prevent minors from appearing in sexually explicit material by mandating age verification and recordkeeping. Additionally, pornography platforms have begun
Jul 23, 2026 · via lee.senate.gov
Face biometric image quality tool evolves with next ISO standard A new and improved version of the face biometric data quality measurement tool that is the reference implementation for the global face image quality standard is coming soon. The secunet development team behind OFIQ 2 is attempting to time the revised tool’s development with that of its associated standard, which is expected to be finalized by the end of 2027. The OFIQ (Open Source Face Image Quality) tool was discussed in a pair of recent European Association for Biometrics (EAB) events, one last week in collaboration with UNHCR, and the OFIQ user group meeting on Tuesday. Each was hosted by Christoph Busch, who is a member of SC37 Working Group 3 in addition to his work with ATHENE and Hochschule Darmstadt. Europe’s EES biometric border control system spurred interest in face image quality assessment, he notes. The ISO/IEC 29794-1:2024 standard for general biometric data quality was recently revised, Busch says, and it is being augmented with assessment methodology for demographic variability. For face biometrics, Busch reviewed the factors that go into data quality and how to evaluate the predictive value of quality assessments based on a comparison of errors versus discarded samples. OFIQ 2 is currently under development, and builds in demographic variability considerations. Other changes could include guidance on whether image distortion is caused by a defocused camera or subject motion. An independent evaluation of OFIQ by NIST was presented to the European Commission’s Joint Research Center (JRC) last week. The evaluation shows the false non-match rate falling as lower-quality samples are discarded in a test of 500,000 images from a visa database. OFIQ in operation The UNHCR is working on a research paper to present its findings using OFIQ thresholds for enrollments in operational settings. Business Analyst Ryo
Jul 23, 2026 · via biometricupdate.com
Quick Navigation - Report Overview - Top Market Takeaways - By Component Analysis - By Application Analysis - By Deployment Mode Analysis - By End User Analysis - Key Market Segments - Regional Analysis - Drivers Impact Analysis - Restraints Impact Analysis - Investor Type Impact Analysis - Technology Enablement Analysis - Key Challenges - Emerging Trends - Growth Factors - Competitive Analysis - Future Outlook - Recent Developments - Report Scope Report Overview The Global On-Edge Face Matching Market generated USD 2.3 billion in 2025 and is predicted to register growth from USD 2.9 billion in 2026 to about USD 18.0 billion by 2035, recording a CAGR of 22.6% throughout the forecast span. In 2025, North America held a dominant market position, capturing more than a 34.3% share, with USD 0.8 billion in revenue. One of the main factors driving this market is the growing need for secure and low-latency biometric authentication. Organizations increasingly prefer identity systems that can process face data locally, reduce exposure of sensitive personal information, and deliver faster user verification. Another important driver is the wider use of edge AI hardware in cameras, smart devices, and access systems, which makes local face matching more practical across different security and authentication applications. On-Edge Face Matching market refers to facial verification systems that compare a person’s face directly on the device or at the edge, without sending all biometric data to a central server for processing. Demand for On-Edge Face Matching is increasing across enterprise security, workplace access, consumer electronics, digital identity, and smart infrastructure. Buyers want face matching solutions that are fast, privacy-focused, and able to work reliably even in environments with limited network support. Demand is also rising because many organizations now prefer biometric systems that combine local processing, stronger security controls, and a smoother
Jul 23, 2026 · via market.us
LOS ANGELES (KABC) -- Flock Safety bills itself as a public safety technology company, using license plate reading cameras to help law enforcement investigate crimes and locate missing people. But critics see something else - a growing surveillance network that has prompted concerns about privacy and how data is collected and shared. "The LAPD had to make a difficult decision of continuing -- in this case, discontinuing -- using Flock services until we can get those data, privacy, security and sharing concerns ironed out through a contractual relationship," Dean Gialamas, the Los Angeles Police Department's chief information officer, told ABC7. The LAPD recently ended its three-year partnership with Flock over those concerns. In an interview with ABC7, Flock co-founder and CEO Garrett Langley said he hopes the relationship will be restored. "We've got to tighten up the policy and make sure everyone is aligned and then turn it back on," Langley said. Even without LAPD as a customer, Flock still operates dozens of cameras throughout Los Angeles County and tens of thousands nationwide. Some residents worry the technology collects too much information. "Just knowing that there's cameras watching your every move -- I mean, even if I'm out walking my dog or anything, I think it's just a privacy issue," said Burbank resident Kimberly Forbes. Langley argues that's a misconception. "The technology is really simple," he told ABC7. "A car drives by, we take a picture. It's a static picture of a car, and then we read the license plate. That's what the technology is -- it's actually not that complicated, it's pretty simple." Flock says its system does not use facial recognition technology and does not identify who is driving a vehicle. The company says the license plate data captured is generally retained for 30 days, unless local laws
Jul 23, 2026 · via abc7.com
This post is for paid members only
Become a paid member for unlimited ad-free access to articles, bonus podcast content, and more.
Subscribe
Sign up for free access to this post
Free members get access to posts like this one along with an email round-up of our week's stories.
Subscribe
Already have an account? Sign in
Jul 23, 2026 · via 404media.co
Milwaukee Neighborhood News Service invites community members to submit opinion pieces of 500-800 words on topics of interest to central city Milwaukee. To send a submission for consideration, please email info@milwaukeenns.org. The views expressed are solely those of the authors. Milwaukee has become part of a mass surveillance apparatus. Surveillance technology is dangerous, and few know that these are counterinsurgency tactics being practiced on residents by our own police department. Integrated surveillance technology tactics, like drones, automatic license plate recognition (ALPR), video cameras, “Stingray” international mobile subscriber identity (IMSI) catchers, and social media trackers, were developed during colonial endeavors and on battlefields like Vietnam, Colombia and the Middle East to pacify local populations. These types of surveillance technologies made their way back for use against the domestic populace in the United States. The dangers of Flock cameras It’s unfortunate that the police have resorted to counterinsurgency tactics to surveil Milwaukee residents, but one is uniquely dangerous: Automated license plate reading technology, more popularly known as Flock cameras. Flock technology can establish a “pattern of life” for Milwaukee residents, especially when combined with other surveillance technologies, without a warrant or probable cause. A “pattern of life” is the recurring patterns, behaviors, and cycles that make up your average day-to-day activities. Establishing a pattern of life involves law enforcement collecting surveillance data and combining it to build a detailed picture of a person’s habits, routines, relationships and behavior. This includes where a person sleeps, when they leave, where they work, where they regularly meet, what vehicle they drive, which routes they take and much more. Flock cameras and other automatic license plate recognition tools also record other information, such as make, model, color, body style, temporary tags, damage and stickers. They call it the “vehicle footprint” and use it when there is
Jul 22, 2026 · via milwaukeenns.org
Abstract Facial Expression Recognition (FER) is a challenging problem in computer vision due to various factors, including illumination variability, occlusions, high intra-class similarity of expressions, and the complexity of accurately capturing subtle facial deformations. Traditional CNN-based models often suffer from spatial information loss and overfitting, especially when dealing with high-dimensional feature spaces. Furthermore, existing methods struggle to maintain performance consistency across real-time applications and diverse datasets. The proposed system introduces an AI-integrated, advanced FER framework based on a Hyperscale YOLOv5 Capsuled Convolutional Neural Network (YOLOv5c-CNN) combined with swarm intelligence optimization techniques. This novel methodology is structured into multiple stages to ensure high precision, robustness, and real-time performance in emotion detection from facial features. In the pre-processing stage, the input facial image undergoes normalization using a Non-Local-Median Collateral Filter (NL-MCF). This filter preserves edge integrity while minimizing noise and illumination variations, ensuring that essential facial features are retained for downstream processing. Subsequently, Adaptive Histogram Equalization is employed to enhance image contrast by computing the pixel intensity Cumulative Distribution Function (CDF), which further improves feature visibility in varied lighting conditions. The next stage involves Cross-Layer Slice Fragment Window Segmentation (CLSFWS). This segmentation technique isolates critical facial regions especially those prone to expression-induced deformations (e.g., eyes, mouth, brows) by detecting pitfall markings and slice-based layer variations. To tackle the high dimensionality of facial feature datasets and avoid overfitting, Adaptive Particle Swarm Optimization (APSO) is integrated as a feature selection mechanism. APSO dynamically selects the most relevant features by simulating intelligent swarm-based behavior, optimizing the feature space for improved classification accuracy and computational efficiency. The final classification and expression recognition are performed using the proposed Hyperscale YOLOv5 Capsuled Convolutional Neural Network (YOLOv5c-CNN). This architecture enhances the standard YOLOv5 model by integrating capsule layers, which preserve spatial hierarchies and relationships between facial features—offering superior recognition
Jul 22, 2026 · via nature.com
Western Australia became the first Australian jurisdiction to scan crowds with live facial recognition technology — and to do so while the state's own privacy watchdog was locked out of the process. In the five weeks since Western Australia Police launched their mobile biometric trial on June 22, 2026, the technology has scanned more than 131,000 faces, generated 33 alerts, and contributed to 19 arrests — all before the state's Privacy and Responsible Information Sharing Act 2024 (PRIS Act) had fully come into force, and without any input from the independent regulator whose job it is to protect the public from exactly this kind of program. The state's Office of the Information Commissioner (OIC WA) confirmed in a formal statement on July 9 that it "was not invited to participate in any formal consultation process with WA Police and did not provide input into the design of the trial." That same watchdog now says the trial is the first real test of the PRIS Act — Australia's first law to directly govern how personal data is used in automated decision-making. The primary Information Privacy Principles under that Act came into force on July 1, 2026, nine days after the trial began. With further deployments scheduled for Joondalup on July 23 and Perth on July 24, the trial is continuing this week. How the System Actually Identifies People — and Why It Differs From Any Camera You've Seen Before The distinction between this technology and ordinary CCTV is not a matter of degree but of kind. A standard security camera passively records video; what happens with that footage is a separate decision, made after the fact, usually by a human. Live facial recognition is something structurally different: every face that enters the camera's field of view is actively identified in real
Jul 22, 2026 · via techtimes.com