Hard Krypton Exclusive | Backed by three rounds of investment from Li Zexiang, a PhD graduate from Zhejiang University has developed the world's first vision-based after-sales technical customer service robot According to Hard Krypton, visual model enterprise MicroLink Intelligence has recently completed an angel round financing of nearly 10 million RMB, with investors being Li Zexiang and Lu Qi. The investment entities are Dongguan Clear Water Bay Phase II Venture Capital Partnership (Limited Partnership), Ningbo Institute of Intelligent Technology Co., Ltd., and Beijing Qichuang Chuangtan Phase II Venture Capital Center (Limited Partnership). This round of financing will be mainly invested in research and development. Founded in 2023, MicroLink Intelligence's founder Ning Dongdong is 31 years old this year. He pursued his doctoral degree at Zhejiang University, engaged in machine vision research, and is one of the early practitioners of deep learning-based machine vision in China, with rich experience in image processing. Ning Dongdong told Hard Krypton that he originally followed Li Zexiang to engage in product R&D in the image field, and found in the investigation that the customer service of the consumer electronics industry was very primitive. However, Ning Dongdong did not act rashly. In order to fully understand the e-commerce customer service chain, he investigated three different entities: e-commerce platforms, merchants on the platforms, and tool vendors selling AI customer service. Ning Dongdong's first stop was to work as a customer service intern at JD for 3 months. He found that JD's internal system was very perfect. "The logistics, finance and e-commerce departments are fully connected, and customer service can directly modify the detail page of self-operated stores or adjust the logistics address." Later, he went to work as a pre-sales customer service for an electrical appliance merchant on the platform. The situation here is different, which is
Aug 9, 2026 · via eu.36kr.com
Big Brother is watching: Are Hoosiers ready to draw the line? Jerry Davich, The Times Aug 8, 2026 1 hr ago 0 Facebook Twitter Bluesky WhatsApp SMS Email Print Copy article link Save Automated license plate readers. Flock camera technology. Cell tower site simulators. Facial recognition. Ring doorbell cameras. Predictive policing. Database sharing. Everyone is being watched all the time. This camera is located on Calumet Avenue in Valparaiso. Jerry Davich, The Times As featured on Facebook Twitter Bluesky WhatsApp SMS Email Print Copy article link Save Most Popular Hammond man guilty of killing wife's girlfriend, sentenced to nearly 30 years in prison Missing evidence a factor in plea deal for Crown Point sex trafficking case, lawyer says Removal of old State Line Bridge in Northwest Indiana gets final approval LaPorte County mansion sells for $5.1 million, second-highest in Northwest Indiana history Crown Point student among 7 charged in Indiana University fraternity hazing case Promotions Get Healthy: Play can spark creativity, boost mood for adults Ask the Expert: Immunizations – what they protect you from, when to receive them, and myths surrounding them. View All Print Ads Other VISITING ANGELS Aug 5, 2026 Other HSPA ICAN PLUS Aug 5, 2026 Grocery Food STRACK & VAN TIL / INDIANA GROCERY GROUP LLC Aug 5, 2026 Services FOUR SEASONS HEATING, AIR CONDITIONING, PLUMBING, & ELECTRIC Aug 5, 2026 Other HSPA ICAN PLUS Aug 5, 2026 Healthcare FAMILY DENTAL CARE Aug 2, 2026 Services L'AMOUR TOUJOURS DESIGNS BY LAURA Updated 15 hrs ago Events Entertainment ST ELIJAH CHURCH Aug 2, 2026 Grocery Food STRACK & VAN TIL / INDIANA GROCERY GROUP LLC Aug 2, 2026 Real Estate STEINER HOMES 15 hrs ago
Aug 9, 2026 · via nwitimes.com
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Aug 9, 2026 · via moomoo.com
Camera glasses get harder to police when they stop looking expensive. Price: $89 AUD ($63) Where to Buy: KSmart For years, camera glasses felt like a Silicon Valley problem. They were pricey, visibly branded, and easy to file away as something early adopters would argue about before the rest of us had to care. The KSmart Camera Glasses make that argument harder to ignore. At A$89 ($63), these are no longer a premium experiment sitting behind a luxury eyewear logo. They’re cheap enough to land in a cart next to school supplies, Bluetooth speakers, and a replacement phone charger. The Price Is the Real Story Kmart lists the Camera Glasses at A$89 ($63). That is the kind of price that changes how people think about a category. Smart glasses with cameras have usually been framed around flagship names, app ecosystems, and early-adopter curiosity. This pair strips that down to a much simpler pitch: camera, Bluetooth audio, calls, and app-connected AI features in a mass-market frame. The product itself isn’t framed like a developer toy. Kmart’s listing says the glasses can capture photos up to 8MP, record videos up to 1080P, play music over Bluetooth, handle hands-free calls, and use smart touch controls. What You Actually Get for A$89 The box includes the Camera Glasses, a 2-pin charging cable, a cleaning cloth, an eyeglass pouch, and an instruction manual. Kmart lists the dimensions at 14.6cm high, 16cm wide, and 5.3cm deep. This is still recognizably a pair of glasses rather than a tiny action camera strapped to your face. The battery is a non-replaceable 290mAh rechargeable lithium-ion pack. Kmart lists about 3.5 hours of working time at 80 percent volume, with a 2-hour charging time. The manual also lists IPX4 water resistance and a 10m working distance with no obstacles. That
Aug 8, 2026 · via the-gadgeteer.com
New feature coming to Pixel 11 turns conversations into recommended steps of action Hidden code reveals a new Pixel 11 feature that uses Gemini to turn conversations into advice that you can follow. New Pixel 11 app is very useful | Image by Google One of the best moments in Pixel history took place in October 2019 with the release of the Pixel 4 and Pixel 4 XL. This model was unique in Pixel history as it included a version of facial recognition feature Face Unlock that was nearly an exact copy of Apple's Face ID. For the first and only time in Pixel history, there was no fingerprint sensor on the two versions. Pixel 4 series had some new features that were "one and done" The Pixel 4 and 4 XL also had a feature driven by the Soli radar chip that was placed in the phone's top bezel. It allowed the user to answer or dismiss a call, skip or repeat a song, snooze an alarm, dismiss a timer, and pause or resume audio playback. It also lowered the ringtone or alarm volume when it sensed a hand heading toward the device. The Pixel 4 series did so poorly that this version of Face Unlock never returned and never again would a Pixel model be released without a fingerprint sensor. In fact, the Pixel 4 line so thoroughly broke Google's expectations that the Pixel 5 ended up as a mid-range phone. It was almost as though Google knew that the Pixel needed to take a step back before it embarked in a new direction with the Pixel 6 series. The 2019 Pixel series debuted a red-hot Pixel-exclusive app The Pixel 4 and Pixel 4 XL also debuted a new app that has become a hit. It is unique
Aug 8, 2026 · via phonearena.com
What Disney Knows About You As Soon As You Enter The Park For many, the appeal of Disney theme parks is the escape from the real world into fantasy, and its sense of care-free security. When you're at a Disney park, you're in a bubble, and in that bubble everything runs smoothly and feels personalized, like magic. So, in an increasingly technological world, Disney Parks rely heavily on data collection to provide visitors with that special experience they dream of, in a seemingly worry-free zone. Before even entering a Disney park, guests can choose from different apps and devices to make their visit more convenient and personal. Although for some, the excessive planning is one of the reasons to avoid taking a Disney vacation, the different park apps can help organize your day or entire trip. Once you hit the park, the app allows you to see ride wait times, order and pay for food, and find the nearest bathroom. The MagicBand+ wrist device — available in the U.S. and some international locations like the U.K. — can save your credit or debit card, tickets, and reservations, so you never have to reach for a wallet or your phone. The catch is, all of these tools can collect data, including rides you take and purchases you make, so Disney can track what's popular and profitable, as well as tailor your in-app park experience by knowing your past preferences and choices. Depending on how you use them, these apps and devices hold all of that data plus info like your name and address. Disney parks utilizes various technologies — including biometric fingerprints, face scanning, and GPS — to shorten lines, prevent ticket fraud, and display in-app walking directions around the park by knowing your specific location (much like Google Maps would).
Aug 8, 2026 · via islands.com
In 2001: A Space Odyssey, a mysterious monolith appears before a group of our ape-like ancestors. Startled by the alien device, a few brave individuals approach it cautiously at first, and eventually the whole troop gathers around to investigate. Now, thanks to primatologists from Emory University and computer scientists from the Georgia Institute of Technology, capuchin monkeys in a Costa Rican forest preserve have had a similar, real-life experience. The researchers recently published their findings in the American Journal of Primatology.
The team started by building a homebrew AI-powered facial recognition program called CapuchinAI. They then installed it on a computer outfitted with a camera and touchscreen, loaded it in a protective DIY box, and included a dispenser to dole out dried forest banana slices.
Aug 8, 2026 · via cdcgaming.com
What's the deal? Plinq, a Brazilian startup that lets women check the criminal and judicial records of potential partners, has closed a R$1.3 million ($240,000) seed round. Spectra Investments led, with angel investors Anton Osika, Liana Selles and Fernando Montero participating. What's next? The funding will support the launch of Plinq's mobile app, planned for early September 2026, and the expansion of its 10-person team. Founder and CEO Sabrine Matos said the launch will be the company's first major product release. The app will allow women to enter a name and phone number and receive a report based on public records, including court databases and official gazettes. It will use facial recognition to restrict access to women. Why now? The round was announced on 7 August 2026, the 20th anniversary of Brazil's Lei Maria da Penha, a landmark law addressing violence against women. Plinq says 10% of its risk alerts relate to domestic-violence records, including 433 mentions of protective orders and 219 references to domestic violence. Plinq plans to move from one-off web searches to a monthly subscription after the app launches. It is also exploring advertising and contracts with state governments for violence-prevention technology. Read more: Startups.com.br Image credit: Generated with Gemini 41
Aug 8, 2026 · via app.dealroom.co
Abstract The increasing demand for personalized skincare solutions highlights a significant gap: many consumers struggle to find suitable products without professional guidance. While the commercial potential for tailored product recommendations is vast, a key challenge remains the lack of effective methods for skin profiling via image classification. To address this challenge, this paper introduces a comprehensive benchmark dataset of 3203 standardized facial consumer selfies, annotated across eight primary cosmetic skin features. We establish a transparent baseline evaluation utilizing the open-source medical image classification framework AUCMEDI. A variety of deep learning architectures were trained to recognize and classify various skin features, including sagging skin, wrinkles, under-eye circles, redness, shine, pigment spots, acne, and pore size. The baseline model’s performance was evaluated using the mean absolute error (e), which appropriately accounts for the ordinal distance in cosmetic grading. Utilizing standard deep learning architectures, the baseline benchmark established promising performance in structural categories like sagging skin (\(e = 1.71\)) and wrinkles (\(e = 1.40\)). While achieving satisfactory results for under-eye circles (\(e = 0.32\)), redness (\(e = 2.22\)), and shine (\(e = 0.23\)), the baseline models encountered significant architectural limitations when resolving highly localized or imbalanced features such as acne (\(e = 2.59\)), pore size (\(e = 2.57\)), and pigment spots (\(e = 2.20\)), the latter three underperforming a trivial constant-mean predictor. Similar content being viewed by others Subjects Introduction Deep learning algorithms, particularly convolutional neural networks, have emerged as a dominant force in medical image analysis1,2,3. Their superior performance in tasks like image classification, segmentation, and object detection has significantly advanced the field1,2,3. Medical image classification (MIC), a fundamental task involving the categorization of medical images into predefined classes (e.g., health status, tumor type), is a prime application area for these models. Accurate MIC can support clinical decision-making and improve diagnostic efficiency4,5.
Aug 8, 2026 · via nature.com
Cabot will cease use of its Flock Safety license plate readers pending a review of the technology after residents expressed concerns about privacy, the mayor said. The suspension went into effect immediately, Mayor Ken Kincaid said in a Facebook post Thursday night announcing the decision. He didn’t give a timetable on when the “comprehensive review” would be completed or who would work on it, but said city officials would seek input from local leaders and residents. “As your Mayor, I firmly believe that public safety and civil liberties must never conflict; both must be protected equally,” Kincaid said. The post doesn’t say how many of the license plate readers the city has, and a lieutenant at the Police Department referred all questions about the system to City Hall. Kincaid didn’t respond Friday to messages left at his office. Flock license plate reader cameras capture images of passing cars and log license plate numbers, comparing the captured plate numbers against so-called hot lists assembled by the agencies that operate them. The company’s website states the cameras don’t use facial recognition software but boast the ability to search captured images based on a description — for example, a vehicle towing a skid steer on a trailer — when a plate number isn’t known. Many cities in Arkansas use the cameras, including Little Rock, North Little Rock, Conway, Hot Springs, Benton, Bryant, Jacksonville and Sherwood. Nationally, more than 5,000 law enforcement agencies have bought Flock’s license plate readers, the company’s website states. Kincaid, who said he’s the son of a police officer, credited the cameras as a useful investigative tool to help police locate stolen vehicles and “assist in critical public safety alerts.” The decision in Cabot comes less than two weeks after Pea Ridge police Chief Lynn Hahn announced that his Police
Aug 8, 2026 · via nwaonline.com
A smart lock that recognizes your face sounds like a party trick until your hands are full of groceries, a sleeping child, or a muddy garden hose. I don’t need my front door to feel futuristic. I need it to open for the right person, keep working when the phone stays inside, and give guests a backup route that doesn’t turn into a support call. That makes face unlock a useful option, not an automatic upgrade. The right comparison isn’t face versus old fashioned keys. It’s face unlock versus a keypad, fingerprint reader, phone, watch, and physical key working as a complete access system. Facial recognition earns its place only when it removes a daily step without creating a new failure at the door. Face recognition solves one specific problem The strongest case for facial recognition is device-free access. A phone-based system asks you to carry a phone, keep the app available, or rely on geofencing. A keypad asks you to remember a code and find the right digits. A fingerprint reader asks you to touch a sensor with a clean, uncovered finger. Face unlock removes that deliberate action. You approach, the lock scans, and the door opens. Lockly says Visage uses dual infrared sensors for facial recognition. It encrypts facial-recognition data and stores it on the device rather than sending it to a server. Its product page also lists built-in Wi-Fi, Apple Home Key, a PIN Genie keypad, fingerprint access, app control, voice control, and a physical key. That backup list is the key design choice. A face scanner can’t be the only way into a home. Lighting, sunglasses, hats, a changed appearance, a dirty sensor, or a failed battery can interrupt the experience. A good lock treats biometrics as one route in a wider access plan. Why backups
Aug 8, 2026 · via the-gadgeteer.com
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Aug 8, 2026 · via instagram.com
In 2010, researchers revealed that honeybees identify human faces by processing facial features in much the same way people do. Years later, the discovery became an inspiration for developing advanced automatic facial recognition technology Synopsis Honeybees learned to identify face-like patterns by observing feature arrangements. Researchers discovered bees focused on relative positions of eyes, nose, and mouth. This visual strategy could inspire new facial recognition technologies. The insects demonstrated this ability even with unfamiliar images. Their tiny brains achieved complex visual analysis, offering valuable insights. The findings also suggested that the visual strategy used by bees could provide ideas for developing automatic facial recognition systems. The experiment started with a simple question The research followed earlier work by Adrian Dyer of Monash University, who had trained bees to associate photographs of human faces with sugar rewards. Martin Giurfa of the Université de Toulouse wondered whether the bees were actually recognizing faces. Because the insects received sugar when they selected the photographs, Giurfa suspected they might simply be responding to the images as unusual patterns, similar to the way they respond to flowers, as per a Sciencedaily report. Giurfa teamed up with Dyer and Aurore Avargues-Weber to find out exactly what the bees were learning. Bees learned the arrangement of facial features The researchers began with simple images that barely looked like faces. Each one contained two dots for eyes, a short vertical dash for a nose and a longer horizontal line for a mouth. The bees were trained to distinguish between two versions of the image. In one, the features were close together. In the other, they were farther apart. The correct choice was rewarded with a weak sugar solution. The bees recognized faces they had never seen The researchers then tested whether the bees could apply what they had
Aug 7, 2026 · via m.economictimes.com
Secret Service reveals new surveillance system amid slowdown in privacy impact assessments The Department of Homeland Security’s chief privacy officer has greenlit a Secret Service surveillance system that’s fueling law enforcement operations, according to a privacy impact assessment published last week. The platform, called Helix, aggregates surveillance video, facial recognition tech and license plate data coming from security cameras at protected locations and existing image repositories. The Secret Service uses the tool to monitor sensitive areas, such as the White House complex and around the Capitol, for potential threats. As required by law, federal agencies must conduct a privacy impact assessment when an agency intends to identify U.S. citizens in conjunction with other data elements, according to DHS’s website. But they also typically occur before an agency develops or procures IT systems that collect, maintain or disseminate information from or about members of the public. “HELIX uses information in identifiable form (including video of individuals, facial images and biometric templates, license plate numbers, and associated time and location metadata) from multiple source systems and applies advanced analytics to link and analyze that data in a single environment, increasing the privacy impact beyond the original collections and necessitating a detailed assessment of risks and mitigations,” the Secret Service said in its explanation of why a PIA was necessary. A Secret Service spokesperson said the system itself is not necessarily a “new” addition to the DHS unit’s portfolio, but the agency is “continually adapting, modernizing, and integrating new technology.” The agency did not respond directly to a question about when the system was first deployed. “The U.S. Secret Service uses a variety of advanced systems at our protective sites in Washington, DC, including the White House complex and in the Naval Observatory,” the spokesperson said in an emailed statement to FedScoop. “We
Aug 7, 2026 · via fedscoop.com
When Frederick Deese was tapped by the National Security Agency to become a cryptologist, he didn’t even own a computer. A kid from small-town Alabama, Deese grew up struggling with an undiagnosed learning disability that made school challenging and test-taking feel impossible. He enlisted in the Navy, assigned to deck crew members because of his low Armed Services Vocational Aptitude Battery scores, but he quickly stood out as a leader and was promoted to missile tech. In 2001, before his second stint in the military, Deese’s wife helped him identify his dyslexia. This time, his ASVAB results returned one of the highest scores available, earning him a spot in the Navy’s cryptology program, where he was tasked with hacking and intrusion detection for the United States government. “I had never touched a laptop,” Deese says. “I didn’t know how to type.” Working in “theater,” meaning in a conflict or war zone, taught Deese how to detect patterns. Gathering disparate data from satellites, moving vehicles and a target’s text messages, voice recordings and behaviors, Deese became an expert at anomaly identification and pattern recognition. One year into the cryptology program, he was named a senior solutions architect for U.S. Cyber Command within the NSA. Deese continued to hone his ability to design algorithms and data-based frameworks, holding a Top Secret Sensitive Compartmentalized Information security clearance—the highest security clearance for classified national security information. In 2004, he exited his military career in favor of the government contracting space and found Visual Connections, an information technology consulting firm. Integrity in Technology The very skills that helped Deese detect threats to national security now help him prevent fraud, waste and abuse. Applying his ability to develop analytic models that identify anomalies within datasets, Deese now leads complex commercial and government IT projects for the
Aug 7, 2026 · via success.com
Why deepfake detection is becoming trust infrastructure For many, the word “deepfake” still has a twinge of novelty about it – a hint of science fiction. But the cute era of generative AI is over, as criminals leverage it to create fake identities that are flooding the online world, causing major headaches for institutions and enterprises, and driving the market for deepfake detection. It’s hard to know what’s real anymore The continuing digitization of society has created a huge target range for fraudsters, and the emergence of cheap, easily accessible generative AI tools into the general populace has given them a weapon more potent than any they’ve had before. Any screen is a potential attack surface; phone calls are becoming archaic technology ruined by fraud and voice scams. Tactics target the whole range of the citizenry, from elderly people in care homes to high-powered CEOs. Hiring pipelines are under siege from fake candidates, executives are being impersonated, and the images we once trusted can no longer be taken at face value. According to a recent UN report, “generative artificial intelligence has dramatically reduced the technical barriers and workforce requirements for conducting sophisticated fraud, enabling criminal operators to generate convincing phishing content, deploy real-time deepfake video and voice during live calls, and target victims across dozens of languages simultaneously.” AI-assisted fraud is a global mega-industry Nor is the realism of deepfakes the only problem. Generative AI has also increased efficiency, enabling fraud at industrial scale. Fraud-as-a-service has emerged as a model, selling fake identities and fraud support on a subscription basis. The recently published report from Biometric Update and Goode Intelligence, Deepfake Fraud Detection Market 2026: Securing Identity in the AI Era, points to an emerging truth: deepfake detection is becoming a key part of overall trust architecture. Businesses in industries
Aug 7, 2026 · via biometricupdate.com
If you make a purchase after clicking on links within this article, Conley Media may earn a commission. The news and editorial departments had no role in the creation of this content. The short version AI headshot tools sit near a body of law written for fingerprint scanners and facial recognition, and the fit is imperfect. Illinois, Texas, Washington, Colorado and the EU all regulate biometric data, but define and enforce it differently, and none were drafted with generative models in mind. Whether generating a new image from a selfie involves a "scan of face geometry" is genuinely unsettled. Some rulings suggest data derived from photographs can qualify; others dismissed claims where the plaintiff could not show the system identified anyone. | Question legal will ask | Why it matters | What you need ready | | Does this collect biometric identifiers? | Determines whether BIPA-style consent rules apply | A technical description of what the vendor stores | | How do we get consent, and is it valid? | Employer-employee consent is scrutinized, especially in the EU | A consent flow and a documented opt-out | | Where is data processed, and by whom? | Drives GDPR transfer analysis and subprocessor review | Vendor DPA, subprocessor list, hosting regions | | Are our people's likenesses training your models? | The most common blocker in security review | A contractual "no training on customer data" commitment | | What happens when someone leaves? | Retention and likeness rights outlive employment | A deletion SLA and an offboarding policy | The one thing to know: the answer is not to avoid the category, but to arrive with documented answers. Teams stall in legal review not because the tool was unusable, but because nobody could answer the fourth question above. This is
Aug 7, 2026 · via gmtoday.com
LAS VEGAS—Once upon a time, we gave away our faces and fingerprints for quicker, more secure access to our devices, and now, in 2026, we live in a surveillance-heavy society where license plate cameras on every corner can identify you using facial recognition technology. These cameras not only know who you are but can also track your emotions, wardrobe, and daily habits. The companies behind these cameras collect and store massive amounts of data, prompting some law enforcement officers to use those cameras to look for just about anything or anyone for virtually any reason. We can’t claw back our data now, so we should try the next best plan: Break facial recognition methods by any means necessary. At the Black Hat security conference, one researcher demonstrated a way to fool current facial recognition models with a little help from the fashion world. It turns out, a scarf or a shirt could become your ticket to reclaiming some anonymity in public. Beating Facial Recognition Tech: No Electronics or Curious Stares Required Currently, defeating facial recognition technology requires an elaborate disguise in the form of a Batman-esque mask, elaborate makeup, infrared LEDs, or active electronics, all of which could invite unwanted attention. Bill Swearington, a self-described hacker and founder of the SecKC cybersecurity community in Kansas City, developed an algorithm that creates adversarial patterns that, in the future, could be printed on fabric to cause facial recognition models to fail if you're wearing it. As Swearington noted during his presentation, anti-facial recognition systems are not a new concept. In 2010, privacy artist and researcher Adam Harvey developed a system to counter burgeoning facial recognition technology, using adversarial makeup and hair-styling techniques. After Swearington noticed hundreds of facial recognition cameras in his hometown of Kansas City, he decided to try to defeat
Aug 7, 2026 · via pcmag.com
The end of anonymous protest — How facial recognition puts democracy at risk Digital rights campaigners warn public surveillance is slipping into dangerous new territory Imagine attending a peaceful demonstration, only to have hidden cameras scan your face, match your identity, and log your details into a police database within seconds. This scenario is at the heart of a debate that reignited in Italy last week, highlighting a high-stakes clash between public safety and personal privacy. Although Italian lawmakers passed the bill on Tuesday with added safeguards, the decision reflects Europe’s expanding appetite for biometric monitoring. A practice Europeans once watched unfold with dread in authoritarian states is now quietly taking root at home. From London and Paris to Amsterdam and Berlin, police forces across democratic Europe are increasingly piloting AI-powered face-scanning in public spaces and at political demonstrations. While European leaders frame the technology as a necessary tool to combat crime, privacy advocates warn that facial recognition creates a chilling effect on the right to peaceful assembly and free expression. And the long-term risk may be even more troubling: once facial recognition is normalized, expanding its reach may be the next natural step. How police in Europe use facial recognition at protests Facial recognition technology (FRT) is a biometric tool that uses AI to identify individuals by analyzing their facial geometry — such as the distance between the eyes or the contour of the jawline — against a database. This software creates a unique digital signature, often called a "faceprint," which can be integrated directly into CCTV networks, drones, apps, and mobile police units. Law enforcement deploys FRT in several ways, with Live Facial Recognition (LFR) being the most controversial. LFR scans real-time video feeds to cross-reference passersby against police watchlists almost instantaneously. Despite significant legal pushback — including
Aug 7, 2026 · via techradar.com
Commissioner says human oversight central to Rock’s digital border A network of live facial recognition and CCTV cameras deployed at the border, Main Street and other locations in Gibraltar provides the Royal Gibraltar Police with a powerful tool to combat crime, but at the heart of its effectiveness is human oversight, police Commissioner Owain Richards said. The cameras are controlled by the RGP and their use must always be proportionate and relevant to a policing purpose, he told the Chronicle in an interview. The way fixed facial recognition cameras have been deployed on the Rock is a departure from how they have been used in the past in the UK and the EU, where such technology is normally restricted to temporary deployments and sensitive locations. But even that is starting to change. Conscious of their value as tool to tackle crime, static cameras are set to be deployed in the West End and Soho by the end of the year, albeit not without controversy. The cameras were deployed in Gibraltar after immigration controls were removed at the land border. Facial recognition is hosted on the National Centralised Intelligence System by OSG, the contractor which operates the platform, and the RGP can upload images from its management database of people of interest. Images are selected for the live facial recognition watchlist on a case-by-case basis under an internal RGP policy, taking into account the seriousness of the offence, the relevance of the person to Gibraltar, proportionality and legality. That may include people wanted for serious crime or by the courts and individuals sought by other jurisdictions through agencies such as Interpol or the UK National Crime Agency, but only where there is a clear rationale to believe they may be in Gibraltar or the surrounding region. It also enables police to
Aug 7, 2026 · via chronicle.gi