Kiwis could soon be able to pay for a coffee or a pair of jeans using their face or hand. Eftpos New Zealand is launching new biometric-capable payment terminals developed by manufacturer Verifone. The Victa terminals include biometric capabilities around facial recognition and palm vein technology. New Zealand will beone of the first markets globally to have access to the innovation this month. The technology will enable age verification, digital identity and secure payments to happen in a single interaction at the terminal, without the need for a physical card. Verifone believes applications for the new technology are broad and make sense wherever age or identity verification is required, such as at liquor stores or hospitality venues. The company has already completed proof-of-concept trials internationally and the technology is currently being trialled at coffee chain Starbucks overseas. Eftpos New Zealand head of merchant sales and strategic partners Kristy Gregory said the company works with the biggest retailers in New Zealand, so Kiwis can expect them to add a biometrics offering to their businesses in the near future. “As the technology is rolled out by retailers, New Zealanders will have different ways they can pay, including biometrics for those who choose it,” Gregory said. “Eftpos has been part of daily life here for over 40 years. We have the infrastructure, the relationships and the reach to ensure New Zealanders have access to the most capable, most secure payments platform in the world.” Gregory said the evolution of the technology was driven by a shift in what the purpose of a payment terminal is. She said that rather than operating as a single-purpose device that processes transactions, the goal was a platform that runs loyalty programmes, ordering, digital identity, analytics and third-party applications from a single device at the counter. The terminals
Jul 28, 2026 · via nzherald.co.nz
Quick Navigation - Report Overview - Top Market Takeaways - By Component Analysis - By Deployment Analysis - By Enterprise Size Analysis - Key Market Segments - Regional Analysis - Investor Type Impact Matrix - Technology Enablement Analysis - Key Challenges - Emerging Trends - Growth Factors - Drivers Impact Analysis - Restraints Impact Analysis - Competitive Analysis - Future Outlook - Recent Developments - Report Scope Report Overview The Global Remote Deposit Capture Market generated USD 840.5 million in 2025 and is predicted to register growth from USD 910.3 million in 2026 to about USD 1,865.6 million by 2035, recording a CAGR of 8.3% throughout the forecast span. In 2025, North America held a dominant market position, capturing more than a 39.2% share, holding USD 329.47 million in revenue. Remote Deposit Capture market refers to banking technology that allows users to deposit checks remotely by scanning or photographing them and sending the image to the bank through a mobile app, desktop scanner, or online banking platform. It is widely used by retail banking customers, small businesses, and enterprises that still handle check-based payments as part of their regular transactions. A key factor driving this market is the growing preference for digital banking services that save time and reduce manual effort. Customers increasingly expect banking activities to be completed from any location, while financial institutions want to improve service efficiency without expanding branch operations. The continued use of checks in business payments also supports market growth. Top Market Takeaways - By Component, solutions dominate with a 76.5% share, delivering mobile capture apps, backend scanning platforms, and AI-powered validation for seamless deposit workflows. - By Deployment, on-premises captures 62.8%, ensuring data sovereignty, integration with core banking systems, and compliance with strict regulatory retention policies. - By Enterprises, large enterprises hold 65.9%,
Jul 28, 2026 · via market.us
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Jul 28, 2026 · via youtube.com
Essex Police resume Corsight AI LFR with 57 arrests, no false matches Resumed deployments of live facial recognition from Corsight AI by Essex Police have led to dozens of arrests without a single false positive match across scans of 353,000 faces, according to a company announcement. Essex Police began redeploying the biometric technology in April, after they were paused for an ICO audit last August. In the meantime, an evaluation by the UK National Physical Laboratory showed a True Positive Identification Rate (TPIR) of 89 percent with a False Positive Identification Rate (FPIR) of 0.017 percent, or 1 in 5,700 matches, with a watchlist of 18,000 images. Cambridge University performed a series of evaluations with the live facial recognition software’s matching threshold set at 55, and found just over half of those on the watchlist were correctly identified, while false matches were extremely rare. Corsight supplies the facial recognition algorithms, and Digital Barriers supplies the software and cloud solutions they run on. Essex Police have now carried out 22 deployments since resuming the program, and of the 353,000 attempted matches, received 173 alerts, 143 of which resulted in interventions. Police report 57 arrests stemming the LFR use, but zero false positive matches. The College of Policing’s guidance on live facial recognition suggests an FPIR of around 1 in 1,000 is acceptable. Essex Police would not have been able to make the same 143 interventions using the former ad hoc approach instead of LFR, Corsight says based on departmental data. Corsight AI President Rob Watts says the results show the effectiveness of “Facial Intelligence” that “is built for real-world conditions” for making police actions more effective and more proportionate at the same time. “Deploying Live Facial Recognition isn’t just about introducing new technology, it’s about ensuring it’s implemented responsibly, transparently, and
Jul 28, 2026 · via biometricupdate.com
Recent reports have raised alarm about the use of PatronScan, an ID-checking and face-scanning system, at multiple LGBTQ+ bars in San Francisco’s Castro neighborhood. Much of the attention has focused on reports that the system photographs patrons as they enter venues and questions about whether those images are used for facial recognition. A broader privacy concern also deserves scrutiny. For years, PatronScan has marketed itself not just as an ID-verification tool, but as a system that allows bars and clubs to identify patrons, keep records about them, and share information across venues. As one news article published in 2019 documented, PatronScan built a network that allowed participating bars to flag patrons and share information about them with other establishments. And in California, it’s not at all clear how PatronScan’s business model of scanning IDs and sharing the information from those scans with other bars comports with the law. California’s ID privacy law, which was amended in 2018 to add ID “scans,” states that no businesses shall “retain or use” any information from a scanned ID card except for limited purposes such as to verify age, comply with a legal requirement, or prevent fraud. A venue cannot claim to be a safe space while feeding its patrons’ data to a third party database. Californians should be deeply concerned about businesses that collect information from government-issued IDs and use it to build databases about where people go, whom they associate with, and whether they should be allowed into other public gathering places. That concern is especially strong in LGBTQ+ spaces, which have long served as refuges for people to go without being tracked, monitored, or put on lists. We reached out to Patronscan with questions regarding their practices and their views on California ID law. They referred us to their published FAQ
Jul 28, 2026 · via eff.org
Facial recognition vans to be deployed by police - Published Facial recognition cameras being rolled out in Nottinghamshire will come with strict controls, police have said. Marked vans will be deployed in public places and will compare those walking past with a "watch list" of individuals either wanted for crimes or subject to banning orders or reported missing. Any matches made by the system will be verified by officers on the ground and all scans deleted within seconds, the force said. Nottinghamshire Police insisted the technology would be used "fairly and proportionately" and would not mean fewer officers being available. The technology has been used by other forces, Nottinghamshire Police said, and had proved a valuable tool. Det Supt Will Henley, who is leading the project, said: "This new technology is not interested in tracking your movements. "It is designed to identify those faces we have inputted into the system who are wanted for crimes or in need of safeguarding such as locating missing people. "The technology will always be used fairly and proportionately to the area it is deployed. "This will not replace police officers." Henley acknowledged the cameras might raise concerns, but emphasised no information from the cameras was stored and the software did not discriminate on the grounds of gender, age or race. The marked van also works as a deterrent and will hopefully prevent further criminality from occurring when they are deployed across our neighbourhoods, he said. The results of deployments will also be posted on the Nottinghamshire Police website. Get in touch Tell us which stories we should cover in Nottingham Listen to BBC Radio Nottingham on Sounds and follow BBC Nottingham on Facebook, external, on X, external, or on Instagram, external. Send your story ideas to eastmidsnews@bbc.co.uk, external or via WhatsApp, external on 0808
Jul 28, 2026 · via bbc.co.uk
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Jul 28, 2026 · via youtube.com
Abstract With the rapid development of intelligence technology, inspection robots for high-speed Electric Multiple Unit (EMU) maintenance have emerged as a promising solution. However, a mature defect detection algorithm and framework tailored specifically for high-speed EMU inspection robots remains lacking. To address this gap, this paper proposes a position-prior-based multimodal defect detection framework capable of accurately identifying two primary types of component defects: component missing and bolt looseness. The proposed framework in this paper is designed with a two-stage methodology, which includes a component detection stage and a defect detection stage for identifying missing components and bolt looseness. To address the component missing defect, the paper initially established defect-free standard images and corresponding component positions for the same vehicle model. Following this, a Class-Similarity Iterative Closest Point (CS-ICP) approach is introduced. The proposed method represents the component positions from both the defect-free reference and the inspected images as semantic points enriched with category information, and diagnoses component absence by performing point cloud registration on these semantic point sets. To address the bolt looseness defect, the point cloud in the bolt area is first preprocessed via filtering. Then, a RANSAC algorithm incorporating normal vector constraints, as proposed in this study, is employed to precisely segment the top and bottom planes of the bolt. Based on this, the bolt height is computed to identify potential looseness defects. The proposed method has been experimentally validated on both the high-speed EMU inspection robot platform deployed in a high-speed railway maintenance depot and the Train of EMU failures Detection System(TEDS). Experimental results demonstrate that the method accurately diagnoses the primary types of component defects, exhibiting high accuracy and strong practical applicability. References - Lourenço A, Ribeiro D, Fernandes M, Marreiros G (2024) Time series data mining for railway wheel and track monitoring: a survey. Neural
Jul 28, 2026 · via link.springer.com
Machine Vision Camera Market Size, Share, Growth, and Industry Analysis, By Type (Line Scan, Area Scan, 3D), By Application (Medical, Industrial, Other), Regional Insights and Forecast to 2035 Machine Vision Camera Market Overview The global Machine Vision Camera Market is likely to grow from USD 13103.54 million in 2026 to USD 20602.46 million in 2035, with an average CAGR of 5.82% during the forecast period. The United States machine vision camera industry is experiencing steady expansion due to increasing automation across manufacturing, healthcare, and quality inspection applications. The adoption of advanced imaging systems has accelerated as industries focus on improving productivity, with more than 70% of modern production facilities integrating automated inspection technologies. Growth in artificial intelligence-based image processing, high-resolution imaging, and smart factory initiatives is supporting demand for Line Scan, Area Scan, and 3D camera solutions across industrial environments. Medical imaging applications are also expanding as healthcare providers increasingly adopt precision imaging technologies for diagnostics and research activities. Key Findings - Leading Product Type: Area Scan cameras are expected to maintain the largest adoption share due to broad industrial usage, with approximately 60% preference among machine vision installations requiring detailed surface inspection. - Leading Application: Industrial applications are projected to dominate demand as more than 65% of automated inspection systems rely on machine vision cameras for manufacturing quality control and process optimization. - Leading Region: North America is expected to lead the market due to advanced automation adoption, with over 50% of large manufacturers implementing smart inspection technologies across production facilities. - Fastest Growing Region: Asia Pacific is projected to witness rapid expansion with manufacturing automation investments increasing by more than 15% annually across electronics and automotive production sectors. - Technology Trend: Artificial intelligence-powered vision systems are transforming camera capabilities, with AI-based inspection accuracy improving by nearly 30% compared
Jul 28, 2026 · via marketgrowthreports.com
BEIJING – Lai Ka-ying, the first astronaut from the Hong Kong Special Administrative Region, and her two crewmates on the Shenzhou XXIII space mission have recently completed a study on gut microbiome changes as a result of long-duration spaceflight, as they reached their 60th day in orbit aboard China's space station. During this period, Lai and her colleagues Zhu Yangzhu and Zhang Zhiyuan have also systematically carried out a range of tasks, including multiple scientific experiments, maintenance of the space station complex platform, and in-orbit health management, according to the China Manned Space Agency (CMSA). Using a space Raman spectrometer, the crew conducted research on microbiome and nutritional metabolism to analyze changes in intestinal flora and their effects on nutrient metabolism under extended spaceflight conditions. They also performed a force control test to investigate the patterns of fine motor control changes and adaptive learning mechanisms during long-term orbital missions. ALSO READ: HK’s first astronaut, crewmates conduct space physiology experiments In-orbit rendezvous and docking training was recently carried out as scheduled, during which the crew completed image recognition exercises under various initial conditions using a metacognitive training system. The CMSA has recently opened a call for proposals for the space station's 2026 scientific research and application program, focusing on three major areas: space life sciences and biotechnology, space microgravity physics, and new space technologies and applications. READ MORE: Lai, crewmates complete installation of HK-made ‘eye in space’ The program covers 23 specific research directions, including frontier exploration in space life sciences, mechanistic studies on material preparation processes under microgravity, and in-orbit manufacturing and construction technologies.
Jul 28, 2026 · via chinadailyasia.com
AFL clubs explore facial recognition as new ticketing method Tue 28 Jul 2026 at 6:00am In short: Facial recognition technology (FRT) is being rolled out in Australia as an alternative to digital or paper tickets for live events. The Geelong Football Club has made it available to its members, while technology provider Wicket says it is in "active discussions" with other AFL clubs. What's next? Experts are concerned about how the collected biometric data could be used and whether it opens the door for broader uses of FRT. Your face could be your next big ticket. With a scan of it, you could be granted entry to AFL games, concerts or even conferences. Facial recognition technology (FRT), which has been used instead of digital or paper tickets in places like the United States for NFL games and college sports, is expanding in Australia. It is being explored by AFL clubs, having already been an option at the Australian Open since 2024 through Ticketmaster. When asked for their thoughts on the technology, football fans had mixed opinions. "I think it'd be great, a lot quicker." "I don't like the thought of my face being recorded for every occasion if I was going to something." "That's the way technology is going, so I'm OK with that." "People know who you are anyway." "Who has that sort of information and how long are they going to hold onto it?" "You've got facial recognition on other apps ... so it shouldn't be a big deal." American company Wicket, which owns the technology being used in Australia, said it helped tackle congestion at event entry points by making them quicker. Chief operating officer Jeff Boehm said every NFL team in the US used FRT for some form of entry, including entry of staff or credentialed
Jul 27, 2026 · via abc.net.au
Figures Abstract Background Ensuring medication safety requires accurate identification of antibiotic packaging, especially within pharmacy automation and dispensing systems. Advanced imaging and machine learning offer novel avenues for physical package recognition. Objective To investigate visual and textual features of antibiotic packages and evaluate their relationship with identification outcomes using unsupervised learning and efficiency-based analysis. Methods Thirty-six antibiotic formulations from Thailand (2016–2021) were analyzed using binary imaging, entropy metrics, packaging area ratio (PAR), and optical character recognition (OCR). K-means clustering was applied to segment package groups, and data envelopment analysis (DEA) was used to assess relative efficiency without assuming predefined functional relationships between inputs and outputs. Results Nine distinct image clusters were identified. Packages with mid-range entropy (7.1–7.5) and PAR (1.2–1.45) were associated with higher identification consistency. OCR text confidence influenced identification outcomes. DEA identified clusters with relatively efficient input–output configurations. Citation: Sukpornsawan P, Meepradist Y, Auamnoy T, Suksawatchon U, Chokchaitam S, Muongmee S (2026) Image-based identification and DEA-based optimization modeling of antibiotic packaging using unsupervised learning techniques. PLoS One 21(7): e0354277. https://doi.org/10.1371/journal.pone.0354277 Editor: Renier Mendoza, University of the Philippines Diliman, PHILIPPINES Received: July 5, 2025; Accepted: July 5, 2026; Published: July 27, 2026 Copyright: © 2026 Sukpornsawan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: All relevant data are within the manuscript and its Supporting Information files. Funding: This work was supported by the National Research Council of Thailand (Award No. 5.2/2562; recipient: SM; website: https://www.nrct.go.th). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist. 1. Introduction Medication
Jul 27, 2026 · via journals.plos.org
Delhi Police has identified as many as 2,873 people with previous criminal records who were present at the Jantar Mantar protests, official sources said on Monday. According to the sources, the police exercise relied on facial recognition systems installed at and around the protest venue. The AI-enabled system compares live CCTV footage with existing criminal databases and dossier records maintained by different district police units and law enforcement agencies. The verification exercise comes following the crackdown on protesters during the Cockroach Janta Party’s march to Parliament on July 20. At least 989 individuals have been previously involved in heinous crimes, 101 in murder, 62 in attempt to murder and 284 in robbery, police sources said, adding that at least 61 people were earlier involved in cases of rape, six were booked under provisions of the Protection of Children from Sexual Offences Act and 25 others for molestation. They said the initiative was aimed at identifying people with previous criminal involvement and assessing the nature of individuals participating in or moving around the protest site. The police, however, have not given any clarification on queries related to protesters being harassed at the site allegedly by their personnel, including those in plainclothes and not wearing name tags and some who allegedly harassed women during the march to Parliament. “The analysis showed that among the 101 people linked to murder cases, 42 were involved in two or more criminal cases, while 12 have criminal histories involving 10 or more cases, suggesting repeated involvement in serious offences,” a senior officer said. The findings would form part of the overall investigation into the violence witnessed during the protest and would be used to identify individuals requiring further verification. ‘Repeat offenders’ “The criminal history indicates that they are habitual offenders, having been involved in multiple criminal
Jul 27, 2026 · via thehindu.com
"Electrifying your pathway to success through in-depth market research" The neuromorphic memory modules market size was valued at USD 1.60 billion in 2025. The market is projected to grow from USD 1.88 billion in 2026 to USD 7.48 billion by 2034, exhibiting a CAGR of 18.9% during the forecast period. Neuromorphic memory modules are advanced memory solutions designed to emulate the neural structure of the human brain, enabling high-speed and energy-efficient computing for AI and edge computing applications. These modules encompass memory chips, memory modules, FPGA- and ASIC-based systems, and neuromorphic SoCs, supporting applications such as image and video processing, autonomous systems, language and speech, signal processing, and pattern recognition. Key end-users include automotive, industrial automation, IT and telecom, consumer electronics, aerospace, defense, and healthcare. Market growth is driven by rising demand for energy-efficient AI computing, autonomous systems, and advanced memory technologies. Intel Corporation, IBM Corporation, Samsung Electronics Co., Ltd., and Micron Technology, Inc. are the top players in the market. Growth of Integrated Memory-Compute Architectures for Edge AI is a Key Market Trend Market growth is increasingly driven by integrated memory-compute architectures in neuromorphic SoCs and ASICs, which combine memory and processing within a single chip. This market trend is focused on brain inspired computing and computing systems that mimic the human brain through spiking neural networks, enabling faster interpretation of sensory data in real-time AI environments. This integration reduces latency and energy consumption, enabling high-performance AI processing for autonomous systems, robotics, industrial automation, edge computing, and edge devices. Integrated designs address the limitations of separate memory and processor units while supporting event-driven workloads. As demand for real-time AI inference grows across industries, integrated memory-compute modules are increasingly deployed to enhance speed, reliability, and energy efficiency, positioning them as a critical innovation for both consumer and enterprise edge AI
Jul 27, 2026 · via fortunebusinessinsights.com
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Jul 27, 2026 · via iopscience.iop.org
Can I opt out of TSA's new facial recognition software? What TSA says - The Transportation Security Administration is expanding its use of facial recognition technology at airports nationwide. - This technology compares a live photo of a traveler with the image on their ID to verify their identity. - If the facial comparison fails, a TSA agent will perform a standard manual ID check. July is almost over, but summer is still ongoing—if you're traveling by air soon for your next summer vacation, keep in mind the Transportation Security Administration's (TSA) rules and which forms of identification to bring before you head to the airport. TSA is testing facial recognition as part of your identification. But how does it work? Can you opt out of the process? Here's what to know. TSA is expanding facial recognition technology According to Travel + Leisure, TSA is expanding its facial comparison technology across airports nationwide, and participating airports will be using the new technology. How it works: TSA’s facial comparison technology will compare a live photo of you taken at the security checkpoint with the image on your identification document to verify that the person standing in front of the officer matches the identification given. Because the system is being tested, it's not always perfect—if the facial comparison fails, TSA agents will do a standard manual ID check. Can I opt out of TSA's facial comparison? The simple answer is yes: you can opt out of TSA's facial-comparison technology. According to Travel + Leisure, travelers have rights, including the right to opt out of facial scans. TSA's website says a traveler can "voluntarily" agree to use their face to verify their identity during screening when presenting their physical identification or passport. So, luckily for you, it won't cause any delays if you
Jul 27, 2026 · via cincinnati.com
Can I opt out of TSA's new facial recognition software? What TSA says - The Transportation Security Administration is expanding its use of facial recognition technology at airports nationwide. - This technology compares a live photo of a traveler with the image on their ID to verify their identity. - If the facial comparison fails, a TSA agent will perform a standard manual ID check. July is almost over, but summer is still ongoing—if you're traveling by air soon for your next summer vacation, keep in mind the Transportation Security Administration's (TSA) rules and which forms of identification to bring before you head to the airport. TSA is testing facial recognition as part of your identification. But how does it work? Can you opt out of the process? Here's what to know. TSA is expanding facial recognition technology According to Travel + Leisure, TSA is expanding its facial comparison technology across airports nationwide, and participating airports will be using the new technology. How it works: TSA’s facial comparison technology will compare a live photo of you taken at the security checkpoint with the image on your identification document to verify that the person standing in front of the officer matches the identification given. Because the system is being tested, it's not always perfect—if the facial comparison fails, TSA agents will do a standard manual ID check. Can I opt out of TSA's facial comparison? The simple answer is yes: you can opt out of TSA's facial-comparison technology. According to Travel + Leisure, travelers have rights, including the right to opt out of facial scans. TSA's website says a traveler can "voluntarily" agree to use their face to verify their identity during screening when presenting their physical identification or passport. So, luckily for you, it won't cause any delays if you
Jul 27, 2026 · via dispatch.com
There's no end in sight to the pandemonium surrounding the Pokémon trading card game, where a single boxed product can be resold for hundreds if not thousands of dollars. The hobby has proven so profitable that people line up outside stores days ahead of a new release. Trading card robberies are a weekly occurrence. For a family-friendly corporation like The Pokémon Company, this heightened state of affairs is horrible PR. To combat this dilemma, the makers of the Pokémon TCG are adopting increasingly strict measures meant to curb resale vultures. Earlier this year, The Pokémon Company began requiring customers in Japan to provide government-issued ID before purchasing trading cards at official outlets. The system has not left Japan's shores, but it also does not appear to be a temporary experiment. More recently, The Pokémon Company announced that five pop-up shops in Japan would soon begin using facial recognition technology for customers of elementary-school age or older. The company states that facial recognition is meant to ensure customers cannot revisit stores or make additional purchases. If the system determines the customer is trying to bend the rules, "entry will be denied to that person based on the system's judgment," the announcement reads. The new system will be employed for the Japanese release of the Rayquaza-themed Storm Emeralda set that will be simultaneously released on Pokémon TCG Pocket. Customers who refuse this type of surveillance will not be allowed to enter the stores at all. Trading card fans can leave the store and reenter by necessity — like, for example, to use the bathroom — but store employees must be informed first. Younger children will still be allowed into the store, but only under guardian supervision. The facial data will promptly be deleted "after a certain period of time." The Pokémon Company's
Jul 27, 2026 · via polygon.com
The Pokémon Company is turning to facial recognition scans to help combat scalpers A high price to pay for your chase card. Nintendo has announced the rollout of a facial recognition system and new entry and purchase rules for its Pokémon stores in Japan. It's not exactly a last-ditch effort, but it's yet another attempt at combating scalpers which have been plaguing the hobby ever since its inception. "In order to provide a safe and secure shopping environment for all customers, to prevent crime, and to ensure compliance with appropriate entry and purchase rules, we will be using a facial recognition system to verify the identity of customers," The Pokémon Company has explained in new guidance (via IGN). The only exception to this will be Children under elementary school age, so preschoolers, up to six years old. This is to help manage the one-time limit per day rule where people are only allowed to enter and purchase from a Pokémon store once a day to help ensure more players get access to stock. "If the system detects that the same person has entered the store more than once in one day or received more than one entry ticket, and a notification (alert) to that effect is displayed on the screen, entry will be denied to that person based on the system's judgement." Don't want your face scanned? Unfortunately, the decision has been made for fans: the Pokémon Company declares that "your acceptance of this system's management and your agreement to these rules are conditions for entering our store" so if you don't want to get your face scanned you won't be getting any Pokémon cards. Although Pokémon does explain that this data will not be held indefinitely and "will be promptly deleted after a certain period of time." Our consumer
Jul 27, 2026 · via pcgamer.com
The global Iris Recognition Market is entering a high-growth phase as governments, enterprises, and technology providers accelerate the shift toward secure, contactless identity verification. According to a recent study by SNS Insider, the global Iris Recognition Market size valued at USD 6.12 billion in 2025, is anticipated to grow to USD 34.4 billion by 2035, registering a CAGR of 17.74% over the 2026–2035 forecast period. The increased complexity of identity theft and cyber-attacks is leading to organizations moving toward improved forms of authentication that go beyond traditional methods such as passwords, PINs, and access cards. The iris is a biometric feature that provides a unique identifier while ensuring fast, contactless identification in critical environments including airports, governmental sites, financial establishments, healthcare facilities, and data systems. Additionally, improvements in technologies such as artificial intelligence and image processing, among others, have made it easier for recognition to be accomplished under difficult environmental conditions. Moreover, growth in digital identity initiatives and application of biometric solutions in consumer devices have raised awareness. To Get Detailed Insights on the Iris Recognition Market – Request a Sample Report Digital Identity Expansion Creates New Growth Opportunities As there is a move toward trusted digital identities globally, iris recognition systems have a chance of experiencing significant growth. Many governments are working on border control, national identification, and passport programs, whereas companies aim to enhance their security through authentication techniques. One of the fields that will benefit from the use of biometrics technologies includes the healthcare industry, where many hospitals and healthcare organizations are looking to use biometric systems to prevent identity confusion and ensure access to medical data. Moreover, financial companies are trying to implement iris recognition for the verification process and future payment solutions. Iris recognition technology is merging with facial recognition and other biometric techniques. Multi-modal
Jul 27, 2026 · via snsinsider.com