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
In 1952, Henri Cartier-Bresson published "Images à la Sauvette," a collection of 126 photographs with a cover designed by Henri Matisse. The American edition, published the same year by Simon and Schuster, was titled "The Decisive Moment," and that phrase entered photography's vocabulary so completely that it has shaped how photographers think about their medium ever since. Cartier-Bresson's concept was specific. In the book's preface, he described photography as "the simultaneous recognition, in a fraction of a second, of the significance of an event as well as of a precise organization of forms which give that event its proper expression." The decisive moment was not simply being in the right place at the right time. It was the convergence of two things happening at once: something meaningful unfolding in front of the camera, and the visual elements of the frame arranging themselves into a composition that expressed that meaning. The photographer's task was to recognize both simultaneously and press the shutter at the instant they aligned. Cartier-Bresson worked with a Leica rangefinder, natural light, and a strong preference for the 50mm focal length (though he also worked with 35mm and 90mm lenses when the situation demanded it). He opposed cropping as a matter of principle, though a very select few of his published images were cropped in practice. His contact sheets reveal that he sometimes made multiple exposures of the same scene rather than relying on a single frame, but the philosophy he articulated valued the discipline of recognition in the moment over the security of repetition. That was 74 years ago. The question worth asking in 2026 is whether the concept survives the technology that has reshaped every aspect of how photographs are made. What Has Changed A photographer using a Sony a7R VI can fire 30 frames per
Jun 21, 2026 · via fstoppers.com
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Jun 20, 2026 · via youtube.com
Gaming communities are built on conversation. A server, clan, fan group, modding team, or streaming audience may begin with a game, but it usually grows through chat. Players coordinate matches, share screenshots, discuss updates, schedule events, and keep friendships alive long after a session ends. Because these communities move quickly, many members install several messaging apps across phones and computers. That convenience is useful, but it also makes setup and safety more important. A chat app for a gaming community needs to be easy to join, easy to manage, and reliable across devices. It should support group conversations, quick file sharing, privacy controls, and notifications that do not overwhelm players. At the same time, community members should be careful about where they download apps and how they configure account access. A rushed setup can lead to fake download pages, wrong versions, login confusion, or exposed personal information. Communities need clear onboarding Many gaming groups invite new members through a short message: join the chat, read the rules, and introduce yourself. That works when everyone already knows the platform. It works less well when members are new, using different devices, or reading instructions in different languages. A better approach is to create a simple onboarding note that explains where to get the app, how to join the group, how to change notification settings, and which channels are used for announcements. This matters because users often search for app setup terms before joining a community. For example, someone looking for potato app下载 may be trying to understand whether the tool supports their phone, whether there is a desktop option, and how to avoid the wrong installer. A community guide does not need to promote one app aggressively. It simply needs to help members install and configure tools safely before they join the
Jun 20, 2026 · via nerdbot.com
Biometric Update Podcast takes stock of big changes in digital identity The Biometric Update Podcast is celebrating 50 episodes by asking what’s changed in the world of digital ID and biometrics since we launched in April 2025. The answer is, lots. AI has emerged as a central driver of tech, relevant across use cases. But four major themes emerged from perusing our archive. Fraud continues to evolve and scale. Deepfakes are a major threat – but only one component of a larger fraud mechanism powered by generative AI. Injection attacks are the new state of the art. Age assurance is the most high-profile biometrics story of the moment. Massive shifts are taking place in global regulations, and the market for age assurance providers is on a bit of a wild ride, as the industry claws its way toward stability. Agents are the new inevitability, said to be infiltrating our economy, enterprises and daily lives at an alarming rate. For identity, they are transformational, in that they are forcing organizations to rethink what identity and authentication means in both theory and practice. Digital ID is shifting global influence, too. Africa is poised for a leading role on the global stage as it forges ahead with innovation and collaboration. Here’s to the next 50 episodes. Listen now: Spotify, Apple, YouTube, Podbean Runtime: 00:15:04 Comments
Jun 20, 2026 · via biometricupdate.com
TL;DR ShinyHunters leaked 45GB of MSG data after a missed ransom deadline, exposing facial recognition records and triggering a federal class action. The leaked data includes internal risk profiles of celebrities, customer emails about facial recognition concerns, and biometric surveillance logs from up to 26 million visitors ShinyHunters leaked 45GB of MSG data after a missed ransom deadline, exposing facial recognition records and triggering a federal class action. The cybercrime group ShinyHunters has published 45 gigabytes of data stolen from Madison Square Garden Entertainment after the company missed a June 15 ransom deadline. The dump includes facial recognition surveillance records, internal threat assessments, and personal information from what the hackers claim are 26 million customer and corporate records. A federal class action lawsuit was filed the following day. The breach occurred on June 5, according to a ShinyHunters spokesperson who spoke to 404 Media. The data was published on June 16, days after the New York Knicks won the NBA Finals in five games against the Spurs, putting intense public attention on the arena and its owner, James Dolan. What makes this breach unusual is the nature of the surveillance data it exposed. MSG has deployed facial recognition technology across its venues for years, using the system to screen visitors and, controversially, to ban lawyers from firms that have sued the company. The leaked files include biometric tracking logs, background check information, internal threat assessments, and what the class action complaint describes as detailed dossiers on attendees. A sample reviewed by 404 Media contained files specifically referencing Knicks-related personalities, with fields including “address,” “claim to fame,” “cost of talent,” and direct contact information for individuals or their representatives. The data also included internal risk tags classifying celebrities: actor Ben Stiller was profiled as “low risk,” while rapper A Boogie wit
Jun 20, 2026 · via thenextweb.com
Walking down a typical American street usually comes with a basic sense of privacy. People go to work, meet friends, or attend local gatherings without expecting their identity to be instantly checked by the state. But a quiet digital upgrade inside local police departments might soon change how residents interact with law enforcement right outside their front doors. Scans on demand Federal immigration agents have long used sophisticated facial scanning technology to track down targets. Now, a newly uncovered government report reveals quiet plans to put that exact same power directly into the hands of local police officers. According to NPR, the Department of Homeland Security outlined the strategy in a privacy assessment report. The tool itself is a new smartphone app called the ICE Task Force Module. The software allows local police to instantly scan the face of anyone they stop during routine community patrols. From there, the app compares the captured image against more than 250 million federal biometric records. These include State Department visa photos and travel verification files. Once the scan is complete, the software tells the officer whether to let the person go or provides an identification code to contact federal immigration authorities. Storing the images The digital footprint left behind by this scanning tool is immense. Every single photo captured on the street gets locked into a federal system for fifteen years. DHS officials declined to share deep specifics about the program with reporters. In a statement, the agency noted it remains fully committed to ensuring that local police partners have the tools necessary to assist with massive deportation efforts. Privacy advocates warn the program is sweeping up innocent people. Patrick Eddington, a senior fellow at the Cato Institute, told NPR that everyday citizens will inevitably get pulled into the dragnet. “This kind of
Jun 20, 2026 · via dagens.com
The information displayed in the AIM should not be reported as representing the official views of the OECD or of its member countries.
Western Australia Police have begun deploying real-time AI-powered facial recognition cameras in public spaces to identify suspects and offenders. The technology, mounted on police vehicles, cross-references faces with a database. Critics raise concerns about privacy, potential misidentification, and lack of public consultation, highlighting risks of rights violations.[AI generated]
Jun 20, 2026 · via oecd.ai