The Metropolitan police is to expand its use of live facial recognition (LFR) technology, first into London’s West End by Christmas and then into a further six areas next year. The new cameras will be fixed, and could be attached to street furniture such as lamp-posts. Critics said the new plans mean tens of thousands of people will be forced into a “digital police lineup”. LFR scans the faces of those people passing its camera’s lens, and then compares it with a watchlist of wanted suspects. The Met has been trialling the technology and using vans deployed for a short time in some areas. It also used LFR via a static camera in Croydon, south London as an experiment, which Britain’s biggest force says was a success. Later this year new static cameras will be deployed in London’s West End and Soho, which have some of the highest crime rates in the British capital. The Met says the cameras will move location as officers spot crime trends. In 2027 it plans to place static LFR cameras in six further areas, and hopes local councils will contribute to the cost. The Met insists any decision to arrest following an alert on its LFR system is made by a human being. Live facial recognition is controversial because it predominantly surveils the faces of the innocent when they walk past the system’s cameras. Furthermore the algorithm used to power it can discriminate against black people. Police and government, which back its expanded use, say the civil right issues are minimal, if they exist at all. The Met has turned down the sensitivity of its algorithm and says that nearly eliminates the bias. Ministers and police believe LFR’s crime fighting potential is huge, also freeing up officer time at a time of financial strain.
Jun 22, 2026 · via theguardian.com
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Jun 22, 2026 · via thesun.co.uk
CPS Earns National Recognition in Communications and Design
Cambridge Public Schools has once again earned national recognition for Communications and Design through the National School Public Relations Association (NSPRA).
The Publications and Digital Media Excellence Awards recognize outstanding education publications and marketing/informational materials (print and electronic), video/TV/radio programs, social media, and websites.
- Special Purpose Publication: Award of Excellence
- Kennedy-Longfellow Memory Book
- Branding/ Image Package: Award of Excellence
This is the fourth consecutive year CPS has received recognition in NSPRA’s National School Communication Award contest.
NSPRA will spotlight award-winning submissions during the NSPRA National Seminar at the Annual Meeting of Celebration of Achievement in New Orleans, Louisiana, this summer. Learn more about NSPRA and view all winning submissions here.
Jun 22, 2026 · via cpsd.us
MISSOULA — The City of Missoula is poised to vote on whether or not to purchase new security cameras for parks and aquatics on Monday night, with concerns previously being raised about the cameras and AI facial recognition technology.
(WATCH: Missoula looking to purchase security cameras with AI capabilities)
The Missoula City Council has the final say on the purchase of various Verkada security cameras from Pine Cove Consulting, a Bozeman-based IT company.
The purchase agreement was initially meant to be completed last week, although council members, alongside community members, raised concerns about the AI facial recognition abilities of the cameras.
Montana has strict privacy laws restricting local government entities from using such AI facial recognition technology, although law enforcement is largely exempt from these laws.
Jun 22, 2026 · via kpax.com
A proposal before the Monroe County Legislature would require businesses including grocery stores, restaurants, and banks to disclose to customers if they use facial recognition technology. The legislation, if adopted, would also prohibit the sale or exchange of biometric data for any reason and require any business that collects the data to destroy it within two years. It does not, however, ban the use of the technology outright. The legislation is sponsored by Democratic legislators including Rachel Barnhart, Ricky Frazier, John Baynes, Nazish Jeffery, and Linda Hasman. Legislature committees are discussing the measure this week. They will decide whether to forward it to the full Legislature for consideration at its July meeting. “Biometric data is fundamentally different from video surveillance, because what it does is it scans your face, and it creates a mathematical template that is then stored, and they can create a profile of you based upon your face,” Barnhart said. “What they then do with that data, we don't know yet.” Barnhart noted an array of concerns with the collection of biometric data, including the potential for a more complex form of identity theft. That concern is also outlined in the proposal. “(Biometric information) is derived from a person’s physical or biological characteristics and may be difficult or impossible to replace if compromised,” the legislation reads. “Unlike a password or credit card number, biometric data is immutable.” The legislation comes as state and local governments grapple with how to regulate the use of biometric surveillance. Last month, Erie County became the first county in the state to outright ban the collection of biometric information, including faces, fingerprints, irises, or voices. The Syracuse Common Council adopted similar legislation in May. “This law creates a safer community for all by protecting a person's most basic and unique features: their
Jun 22, 2026 · via wxxinews.org
RealSense unveils AI-native depth camera with face detection roadmap RealSense has shown off the D585 Pro at Automate 2026, a new depth camera aimed at improving AI‑driven perception systems for robots. Robotics is driving edge‑based sensing, with these cameras also offering biometrics uses. The device is described as an “AI‑native” platform built around a custom Gen 5 system‑on‑chip that fuses depth sensing, image processing and on‑camera AI inference in a single unit. RealSense says primary use cases include humanoid robots, robotic navigation, industrial automation systems and robotic arms performing inspections. The D585 Pro’s architecture mirrors the sensing pipelines used in advanced identity systems. High‑resolution depth, dual RGB, IR projection and on‑device AI accelerators feature in many biometric stacks. RealSense is leaning into a software‑defined model as the D585 Pro ships with on‑camera depth processing. Person detection is in beta. Planned SDK releases will add visual‑inertial odometry, occupancy grid generation and face detection to existing hardware. The approach of deploying once and upgrading continuously follows what is being increasingly seen in biometric devices. Companies are often using firmware‑level AI improvements rather than new sensors, selling the update as avoiding friction. While RealSense is targeting robotics, the ability to run person detection and face detection directly on the camera means biometrics uses are possible independent of the robot or via a robotic system. The need for accuracy and versatility and intelligence is leading to convergence. The D585 Pro delivers more than twice the depth quality of previous RealSense models, enabling the perceiving of fine‑grained detail at distances under 15cm — a range where traditional depth sensors struggle. With a 120×100-degree field of view, 60 FPS capture and a 10‑meter operating range, the camera is designed to support everything from humanoid manipulation to warehouse‑scale navigation. RealSense says multiple global robotics developers are already
Jun 22, 2026 · via biometricupdate.com
ROBOTICS AND AUTONOMOUS SYSTEMS INDUSTRY PERSPECTIVE: Vision-Based AI at the Tactical Edge a Force Multiplier By David Guffey iStock illustration In Afghanistan and Iraq, white Toyota Hilux trucks were synonymous with the Taliban and many other terrorist groups that U.S. and coalition forces pursued daily. Ubiquitous and covered in dust, nearly indistinguishable from thousands of identical vehicles on the same roads, complex hyperspectral sensors were used to look for minute spectral differences. Sensors were flown, data gathered and analyzed, and over time, automated algorithms developed to provide a level of autonomy and precision. But the challenge existed not just in finding a truck, but the right truck. U.S. forces needed the one with a dent on the rear panel, a cracked headlight or another small detail buried somewhere in tens of thousands of hours of Predator and Reaper footage. Unique spectral signatures across tens of thousands of vehicles served as additional discriminators. The military mastered collection, but processing at scale was dramatically more complex. As new sensors, unmanned systems and space assets expanded the data flow, much of that data went unreviewed. Regardless of how much data flowed into servers and storage, most of it went unanalyzed. Often, data was collected but took days or even weeks to be analyzed at the forward operating base or in garrison in the United States. Now, the use of vision-based artificial intelligence at the most disadvantaged edge will become a tactical discriminator and a force multiplier. Compute power has evolved to the point where handheld devices can capture, consume and analyze data at the most disadvantaged edge. Much of today’s AI discussion centers on large data centers and models trained on data from everywhere. Those systems are invaluable, providing leaders and decision-makers with strategic answers to broad, complex problems across multiple domains and
Jun 22, 2026 · via nationaldefensemagazine.org
Facial recognition cameras installed at all major airports will be linked to a data fusion centre proposed to come up in Delhi, Central Industrial Security Force (CISF) Director General Praveer Ranjan said on Monday (June 22, 2026). Also read | CISF reviews security across airports in north India Besides the airports, the feed from around 1.5 lakh surveillance cameras at vital installations across the country, which are under CISF’s security cover, will be linked to the centre, Mr. Ranjan said during the foundation-laying ceremony of the new CISF headquarters at CGO complex in Delhi. Facial recognition cameras installed at six major airports – Delhi, Mumbai, Bengaluru, Hyderabad, Chennai, and Kolkata – in the country are further proposed to be integrated with the National Intelligence Grid (NATGRID) to enhance real-time monitoring, suspect identification and support to law enforcement agencies, a senior CISF official said. NATGRID is a secure platform for the police and investigating agencies to access government and private databases in real-time. The Union Home Ministry has asked the States to liberally use the platform to access datasets which include details of driving licence, vehicle registration, Aadhaar, airline data, bank records, FASTAG, passport and travel details of foreigners and Indians, suspicious transaction reports from Financial Intelligence Unit, railway passengers, and also extract and analyse data from social media posts. Serving with dignity Minister of State for Home Bandi Sanjay Kumar, the chief guest at the function, said that since June 2025, the government has implemented a compassionate disability policy which ensures that personnel disabled in the line of duty are not compulsorily retired and they continue to serve with dignity, career progression and full-service benefits. Emphasising technology-led security solutions, Mr. Ranjan informed that the Regional Training Centre at Behror in Rajasthan is being developed as a Centre of Excellence for
Jun 22, 2026 · via thehindu.com
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Jun 22, 2026 · via youtube.com
Hancom WITH said on June 19 that its facial authentication solution, Hancom Auth, has passed the Korea Financial Telecommunications & Clearings Institute (KFTC) performance evaluation for distributed biometric information management.
The KFTC evaluation program verifies the technical performance and security of systems that manage biometric authentication data through a distributed architecture rather than storing information in a single location. The assessment serves as a key benchmark for financial institutions when determining whether biometric authentication solutions satisfy the security and reliability requirements needed for customer-facing services and internal control systems.
According to the company, Hancom Auth successfully passed both the distributed management compliance assessment and biometric authentication performance tests, which evaluate authentication accuracy, processing speed, system stability, and encryption capabilities.
Hancom WITH said the results validate the technological maturity and security of its facial recognition platform.
"The fact that Hancom Auth has met the biometric performance standards established by KFTC objectively demonstrates that the solution reflects the requirements of the Korean financial industry," said Song Sang-yeob, chief executive officer of Hancom WITH.
"Based on this certification and our accumulated technological expertise, we will further strengthen our competitiveness in the facial authentication market," he added.
Jun 21, 2026 · via thelec.net
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more. Watch now Unlock full access More than 5,000 organizations count on O’Reilly O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F. I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B. I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M. I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.Mark W. Publisher Resources ISBN: 9781808086335
Jun 21, 2026 · via oreilly.com
Madison Square Garden has spent years using facial recognition technology to monitor who enters its venues. Now, that same surveillance system is at the center of what could become one of the year’s most troubling privacy breaches. The cybercrime group ShinyHunters has published a massive cache of data allegedly stolen from Madison Square Garden Entertainment after the company missed a ransom deadline. According to reports, the leak includes facial recognition records, customer information, internal security assessments, and other sensitive data tied to millions of visitors. While large-scale breaches have become depressingly common, this one feels different. Most data leaks involve passwords, email addresses, or financial information. This breach reportedly includes something far more personal: information connected to how people were monitored and identified in physical spaces. When the security camera becomes the target For years, MSG’s facial recognition program has been controversial. The company has used the technology across its venues to identify visitors and, in some cases, enforce policies that attracted scrutiny from privacy advocates and regulators. Critics have long warned that collecting large amounts of biometric data creates an attractive target for hackers. This breach appears to validate those concerns. According to reports, the leaked files include biometric tracking information, internal risk assessments, background-check data, and records tied to attendees. The dataset allegedly includes customer correspondence, including messages from visitors who were concerned about being misidentified by facial recognition systems. If accurate, that means complaints about surveillance practices were stored alongside the surveillance data itself. The breach that exposed more than customer records What makes the incident particularly notable is the broader question it raises about surveillance technology. Organizations often justify facial recognition systems as tools for safety, security, or operational efficiency. But every camera, database, and profile creates another repository of highly sensitive information that must be
Jun 21, 2026 · via digitaltrends.com
A research paper from the Indian Institute of Science (IISc) has been selected as the best paper finalist at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026. The CVPR is one of the world’s premier conferences in computer vision and artificial intelligence (AI), and this year’s conference was held at Colorado in the U.S. The IISc team, comprising R. Venkatesh Babu, Priyam Dey, Aditya Sahdev, Sunny Bhati, Konda Reddy Mopuri from the Department of Computational and Data Sciences (CDS), was selected as the best paper finalists for the paper on “Rethinking Dataset Distillation: Hard Truths about Soft Labels”. Prof. Babu, who is the chair of the CDS, said that the paper focuses on the very important subject of dataset distillation. “This (paper) is about dataset distillation. There is a huge amount of data, and we use it for training various models. We don’t know whether all the data we use for training are useful or not. We don’t need millions of samples, only thousands of samples are enough to train the model,” Prof. Babu told The Hindu. He added that apart from helping in data efficient learning and improving scaling performance of the models, their research also helps bring down the carbon emission. “Dataset distillation has emerged as a promising direction for efficient learning, and this work revisits some of its core assumptions, uncovering important insights about the role of soft labels and their limitations,” the CDS said. The IISc paper was recognised among the top 15 papers out of more than 16,000 submissions made at the CVPR 2026. “From 16,000 submissions, around 4,000 papers were selected and from this we made it to the top 15, which is a significant achievement for the team,” Prof. Babu added. Published - June 21, 2026 09:21 pm IST This
Jun 21, 2026 · via thehindu.com
Facial recognition remains extremely controversial. Approximately 46% of US adults think widespread use of the technology by police would be good for society, while 27% think it's a bad idea, according to Pew Research. Despite criticism, Kansas City is pushing ahead with plans to install facial recognition on its buses. According to the Associated Press, images captured by onboard cameras will be cross-referenced against facial scans if there is an active alert from police, including databases of banned riders or missing persons. Routine video footage will be retained for up to five years, while non-matching face data will not be stored continuously. The cameras will be operated by SafeSpace Global, a Knoxville, Tennessee-based company that has previously operated facial recognition cameras in nursing homes. "It's not sitting there filming all the time," SafeSpace Global CEO Scott Boruff told AP. "It just captures the face and goes away." Outside observers have criticized the move. Will Owen, communications director for the Surveillance Technology Oversight Project, told AP that Kansas City residents shouldn't be "guinea pigs for transit systems to test Silicon Valley's latest unproven, biased surveillance tech." Tyler Means, chief mobility and strategy officer at the Kansas City Area Transportation Authority, told AP he expected the cameras to roll out this year. The cameras had been slated for installation ahead of the 2026 FIFA World Cup, but have been delayed due to technical issues and the state of Missouri withdrawing funding over privacy concerns. Last year, leaked emails revealed that Immigration and Customs Enforcement (ICE) officers used a facial-recognition app on the streets to identify and detain people, with no way for people to object to having their image uploaded to a database. There are also issues with accuracy. In 2020, Robert Williams, a Black man, was mistakenly arrested in Detroit due
Jun 21, 2026 · via pcmag.com
Discovering how a dish is made is often difficult when you only have a photo to go by -- Photo Recipe is an AI-powered app designed to solve this by turning images of food into complete recipes instantly. Users simply take a photo of any meal, and the app analyzes it to generate a full breakdown of ingredients and step-by-step cooking instructions. This makes it easy to recreate dishes without needing a written recipe. The platform is designed to be fast and intuitive, allowing users to go from inspiration to cooking in seconds. It helps home cooks explore new meals, learn techniques, and experiment with different cuisines based on visual input alone. Photo Recipe removes the guesswork from cooking by translating food images into structured, easy-to-follow recipes. It turns any meal photo into a practical cooking guide you can use right away in the kitchen. AI Recipe Generator Apps Photo Recipe Turns Any Meal Photo Into Step-By-Step Cooking Instructions Trend Themes - Visual Recipe Generation — AI systems that interpret food photos into ingredients and instructions create new potential for instant meal recreation, reducing dependence on traditional recipe search and written cooking content. - Camera-first Cooking — Smartphone cameras are becoming entry points for culinary discovery, enabling image-based tools that connect visual inspiration with practical kitchen guidance. - Personalized Food AI — Adaptive recipe platforms can transform visual meal inputs into customized cooking experiences, supporting dietary preferences, skill levels, ingredient substitutions, and cuisine exploration. Industry Implications - Food Technology — Image-to-recipe intelligence expands the role of food tech beyond delivery and meal planning, creating opportunities for automated culinary interpretation and at-home cooking support. - Consumer Apps — Mobile applications built around instant visual recognition can reshape user expectations for convenience, turning everyday photos into actionable lifestyle services. - Home Cooking
Jun 21, 2026 · via trendhunter.com
Discovering how a dish is made is often difficult when you only have a photo to go by -- Photo Recipe is an AI-powered app designed to solve this by turning images of food into complete recipes instantly.
Users simply take a photo of any meal, and the app analyzes it to generate a full breakdown of ingredients and step-by-step cooking instructions. This makes it easy to recreate dishes without needing a written recipe. The platform is designed to be fast and intuitive, allowing users to go from inspiration to cooking in seconds. It helps home cooks explore new meals, learn techniques, and experiment with different cuisines based on visual input alone.
Photo Recipe removes the guesswork from cooking by translating food images into structured, easy-to-follow recipes. It turns any meal photo into a practical cooking guide you can use right away in the kitchen.
Image Credit: Photo Recipe
Jun 21, 2026 · via trendhunter.com
Is CheaterScanner Legit? My Full Honest Review CheaterScanner In today’s digital world, trust has become more complicated than ever before. Social media, dating apps, and online communication have made it easier for people to connect—but at the same time, they have also created more doubts and uncertainty in relationships. A few weeks ago, I found myself exploring a category of online tools that claim to help people understand digital behavior in relationships. I wasn’t looking for anything specific at first. It started out of simple curiosity about how technology is being used in personal life situations. What I discovered during this research journey was more interesting—and more complex—than I expected. Why People Turn to Digital Verification Tools One of the first things I realized is that people don’t search for these tools randomly. Most users are driven by emotions such as: Doubt in relationships Curiosity about online activity Past experiences of betrayal Desire for clarity and reassurance In many cases, it is not about technology itself, but about emotional uncertainty. This made me think: technology is now being used as a substitute for conversations that people find difficult to have directly. How These Tools Typically Work While exploring different platforms in this space, I noticed a common pattern in how they present their services. Most of them claim to use: Image-based matching systems Public profile scanning methods Data comparison from online sources The idea sounds simple: upload an image or input data, and the system tries to find possible matches across online platforms. From a technical perspective, these systems rely on variations of existing image recognition and data indexing technologies. However, the accuracy and reliability can vary significantly depending on the available data and input quality. My Observations During Research As I continued my research, I realized something important. These
Jun 21, 2026 · via vocal.media
Abstract Facial Expression Recognition (FER) has become increasingly relevant in engineering applications spanning security, healthcare, human-robot interaction, and intelligent systems. Accurate recognition of emotional states through facial cues is particularly important for enabling autonomous systems to interpret human intent in dynamic environments. This study presents a survey of recent advances in FER, with a focus on machine learning (ML) and deep learning (DL) methodologies developed between 2019 and 2024. Special attention is given to Facial Action Unit Detection (FAUD) as an intermediate and physiologically grounded representation for expression recognition. The analyzed literature is organized according to the final scope of the proposed models, distinguishing FAUD-oriented, FER-oriented, AU-assisted FER, and FAUD-to-FER approaches. Through this structured comparison, the survey identifies methodological trends, reported performance patterns, and the conditions under which FAUD-based intermediate modeling appears particularly advantageous for reliable FER. Author information Authors and Affiliations Corresponding authors Ethics declarations Competing interests The authors declare no competing interests. Informed consent Informed consent was obtained from all individual participants included in the study. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Appendices Appendix A: Supplementary tables Appendix B: Acronyms For quick reference, the following list summarizes the acronyms defined in the main body of the manuscript. | Acronym | Meaning | |---|---| | ABAW | Affective Behavior Analysis in-the-Wild | | AFEW | Acted Facial Expressions in-the-Wild | | AI | Artificial Intelligence | | ANN | Artificial Neural Network | | APM | Attentive Pooling Module | | AU | Action Unit | | BN | Bayesian Network | | BP4D | Binghamton–Pittsburgh 4D Spontaneous Facial Expression Database | | CNN | Convolutional Neural Network | | CV | Computer Vision | | CVPR | IEEE/CVF Conference on Computer Vision and Pattern Recognition
Jun 21, 2026 · via nature.com
Jellycats and geraniums: why middle-class thieves target garden centres Barbecues, tools and soft toys are disappearing at the rate of £15 million a year, forcing bosses to retaliate with advanced security, such as facial recognition Previous Article Next Article
Jun 21, 2026 · via thetimes.com
NEOSTI - a neuromorphic electronic-opto spatial-temporal hybrid image sensor - Open Access - 01.12.2026 - Article Abstract Introduction The human visual system is highly efficient in collecting and processing of the visible information. As a bionic device, the image sensor establishes a bridge between the real world in optical domain and artificial intelligence in electronic domain, but current image sensor technology falls short in meeting the requirement of real-time, low-power processing capability at the edge, which is critical for embodied intelligence such as intelligent robots, fully autonomous driving, and drones that require effective interaction with dynamic environments. Different processing technologies in either electronic domain or optical domain have been proposed in literature to break the bottleneck, but there is always a trade-off between processing performance and power/volume consumption. Traditional artificial vision system relies on image sensors coupled with cloud processing or Artificial Intelligence (AI) processors, featuring higher image resolution, higher frame rate, and higher accuracy across various image processing tasks than human visual system, but paying for a several orders higher power consumption than the human visual system. In addition, the sub-second wireless communication latency1 between the sensor end and the computational cloud cannot meet the milliseconds to sub-milliseconds response time requirement risen from the embodied intelligence scenario. Anzeige In order to improve efficiency of the traditional artificial vision system, Processing-in-Sensor (PIS)2‐9 and Processing-Near-Sensor (PNS)10‐12 technologies have been introduced into the raw intensity acquisition process. PIS/PNS technology mitigates the delay and power consumption associated with redundant data transmission workload by integrating the sensing and computing components, enhances data processing efficiency, as well as reduces the volume of data transmitted to the host through parallel processing at column or pixel levels. This approach aligns more closely with the operational principles of the visual systems observed in humans and various creatures. Nevertheless,
Jun 21, 2026 · via springermedizin.de