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Biometrics market signals strong as providers expand reach The expansion of the global biometrics market, fast and steady, can sometime be obscured by the controversies that come along with powerful new technology and a competitive business environment. Headlines from the past week serve as a reminder of the momentum behind biometrics providers and digital identity projects around the world, and reveal some interesting clues about the direction those projects will take going forward. M&A and investments ROC’s acquisition of ZTC is targeted at expanding its video intelligence platform end-to-end, building its face biometrics core capability into an overall digital forensics investigation platform. The deal continues the post-IPO clarification of vision for ROC serving a customer base beyond its federal government core. Incode is building a network for sharing fraud signals while doubling down on its privacy-first, decentralized vision through the acquisition of Identiq. A key market expansion operating here is the threat of agentic AI, which can be mitigated by pooling data. Incode CEO Ricardo Amper has also shared insights into the deal with Biometric Update for an interview article coming next week. Investors remain bullish on IDfy, and by extension the Indian KYC market, as seen in the $23 million the company has picked up to expand its risk detection tools. IDfy is marching towards an IPO with a self-declared timeline of 5 years. Intellicheck’s growth has landed it on the Russell 3000 index as one of America’s largest publicly traded companies, which helps positions its stock with institutional investors. Familiar faces, new tech NEC is supplying live facial recognition to Western Australia Police for trial deployment in public spaces, in one of the first deployments of LFR in a democratic country other than the UK. If the UK’s example holds, a single van in a single state could
What "Familiar Faces" Does Amazon Ring's AI facial recognition feature, launched December 2025, uses computer vision to identify repeat visitors to a home and label them by name in doorbell notifications. The feature is optional for Ring owners, but the core dispute is that the millions of neighbors, delivery workers, and passersby who walk past a Ring-equipped front door are enrolled in biometric scanning without their knowledge or consent. Amazon states that face data is encrypted and that unidentified faces are automatically purged after 30 days. Legal Challenge Virginia resident Charles Sigwalt filed a class action lawsuit in Seattle federal court in June 2026, seeking at least $5 million in damages on behalf of a proposed class. The complaint, reported by TechCrunch and Reuters, claims Ring cameras at friends' and family members' homes collected and stored his facial recognition data without consent. The suit follows earlier public criticism from the Electronic Frontier Foundation and Senator Ed Markey (D-MA), who demanded Amazon abandon the feature before its December launch. Amazon did not publicly respond to the lawsuit at the time of filing. Regulatory Map The feature is unavailable in Illinois and Texas - both states with strong biometric privacy statutes - and in Portland, Oregon, which has enacted private-sector facial recognition restrictions. That geographic carve-out signals Amazon acknowledges elevated legal risk where robust biometric law exists, making the lawsuit in states without those protections the active legal frontier. Pattern of Privacy Concerns Ring's record with law enforcement and user data amplifies public unease. The company paid a $5.8 million FTC settlement in 2023 after employees improperly accessed private customer video. Ring previously granted police the ability to request footage without a warrant before reversing that policy. A February 2026 Super Bowl ad for Ring's AI-powered lost-pet tool "Search Party" triggered a
Agentic AI, a new tech buzzword, involves AI systems making more autonomous decisions, raising concerns reminiscent of sci-fi apocalypse films. Picture: Google Gemini Image: Google Gemini The new buzzword in tech is definitely Agentic AI, but what exactly is it, and should we be worried? Firstly, Agentic AI means handing over more control to an increasingly powerful AI application. It will be able to make more decisions on its own and, as a result, do more for the end user. For example, if you want to book tickets to an event, Agentic AI will be able to handle almost everything. That means you can issue a prompt like: “Book me tickets to the Beyoncé concert next month.” It will then find out exactly when the concert is, check with the user about seating preferences, and then confirm payment, either through biometrics or facial recognition software. Apple’s Siri AI will be one of the latest entries into the Agentic AI market when it officially launches in September. It will join other leading Agentic AI platforms such as ChatGPT Operator, Claude (Anthropic), and Microsoft Copilot Studio. To be clear, this shift in the way AI works could gradually change the way we use technology altogether. As someone who grew up watching Terminator, which dealt with computers becoming self-aware and swiftly moving to wage war on, and essentially exterminate, humankind, this shift does not sit comfortably with me. Of course, we are probably still at least a couple of decades away from AI being capable of building its own self-aware robots designed for nefarious purposes. But the fact that we are on a path that could eventually lead there is, at the very least, cause for concern. Related Topics:
Abstract Medical image registration plays a crucial role in tumor growth monitoring, radiotherapy planning, and disease diagnosis. Recently, Transformer-based networks have been widely adopted in unsupervised image registration, achieving improved registration accuracy. However, the use of attention mechanisms significantly increases model complexity with substantial computational and memory costs, failing to meet the real-time requirements of medical image registration. To address these challenges, this paper proposes a Hierarchical Pyramid Network with Lipschitz Continuity Constraint and Spatial Recurrent Encoding Module for Medical Image Registration (LHPS-Net). The model employs a hierarchical pyramid architecture that enhances registration performance through Lipschitz continuity constraints and spatial recurrent encoding. Specifically, unlike traditional deep learning-based approaches, LHPS-Net independently extracts features from fixed and moving images and progressively generates deformation fields through hierarchical decoders, which facilitates large-deformation image registration. The spatial recurrent encoding module replaces conventional convolutional blocks, utilizing SLK (Spatial Locally-connected Kernel) to capture contextual information with lower computational cost while effectively focusing on multi-scale features. The LC-Def block incorporates Lipschitz continuity constraints to help achieve diffeomorphic deformation. To validate the performance of our proposed network, we conducted comprehensive comparisons with existing methods on public datasets including IXI, LPBA, and OASIS. Experimental results demonstrate that LHPS-Net achieves superior registration performance under common evaluation metrics. Similar content being viewed by others Data availability The datasets used and/or analysed during the current study are publicly available from third-party repositories, including the IXI dataset (https://brain-development.org/ixi-dataset/), the LPBA40 dataset (https://www.loni.usc.edu/research/atlas_downloads), and the OASIS dataset (https://sites.wustl.edu/oasisbrains/). The processed data, experimental settings, and additional materials supporting the findings of this study are available from the corresponding author upon reasonable request. References - Li T, Staring M, Qiao Y (2025) Efficient large-deformation medical image registration via recurrent dynamic correlation[J]. IEEE Transactions on Medical Imaging - Velesaca HO, Bastidas G, Rouhani M et al (2024) Multimodal
Agentic AI, a new tech buzzword, involves AI systems making more autonomous decisions, raising concerns reminiscent of sci-fi apocalypse films. Picture: Google Gemini Image: Google Gemini The new buzzword in tech is definitely Agentic AI, but what exactly is it, and should we be worried? Firstly, Agentic AI means handing over more control to an increasingly powerful AI application. It will be able to make more decisions on its own and, as a result, do more for the end user. For example, if you want to book tickets to an event, Agentic AI will be able to handle almost everything. That means you can issue a prompt like: “Book me tickets to the Beyoncé concert next month.” It will then find out exactly when the concert is, check with the user about seating preferences, and then confirm payment, either through biometrics or facial recognition software. Apple’s Siri AI will be one of the latest entries into the Agentic AI market when it officially launches in September. It will join other leading Agentic AI platforms such as ChatGPT Operator, Claude (Anthropic), and Microsoft Copilot Studio. To be clear, this shift in the way AI works could gradually change the way we use technology altogether. As someone who grew up watching Terminator, which dealt with computers becoming self-aware and swiftly moving to wage war on, and essentially exterminate, humankind, this shift does not sit comfortably with me. Of course, we are probably still at least a couple of decades away from AI being capable of building its own self-aware robots designed for nefarious purposes. But the fact that we are on a path that could eventually lead there is, at the very least, cause for concern. Related Topics:
Live Facial Recognition vans are set to deploy in Windsor. Police will deploy Live Facial Recognition (LFR) vans on Peascod Street in Windsor on Monday, June 29, as part of efforts to prevent crime and identify wanted individuals. The specialist LFR team will operate alongside local officers to detect known suspects and enhance public safety in the busy town centre. Authorities say the visible presence of the vans can deter offending, even if some individuals choose to avoid the area during their use. READ MORE: Slough road closures planned for resurfacing works between July 2026 and March 2027 A spokesperson for Thames Valley Police said: "Preventing crime is just as important as catching those who break the law. "If you have any questions or would like to see how the technology works, feel free to come over and chat with our team. "We’re always happy to show you around and explain how LFR is used fairly and responsibly."
One year ago they marched in record numbers, risking fines and facial recognition technology to challenge Viktor Orbán and his government’s escalating crackdown on LGBTQ+ rights. On Saturday, Hungarians will again take to the streets for Budapest Pride, this time in a march marked by the country’s sweeping political changes. The event, which is expected to unfold peacefully after police gave it the green light, will be a rallying cry of a community that has resisted all efforts to silence it, said Petra Buzás, part of the organising team. “This year’s Budapest Pride March is particularly important because it is about hope, caution and perseverance all at once,” said Buzás. “Budapest Pride’s hope is that LGBTQ people in Hungary will finally be seen not as political targets, but as whole citizens.” The comments hint at the turmoil that continues to linger after Orbán’s 16 years in power. As the nationalist leader sought to portray himself as the champion of traditional Christian and family values, he led a determined crackdown on LGBTQ+ rights, culminating in a law – the first of its kind in the EU’s recent history – that sought to ban Pride events. Bolstered by a wide range of civil society groups and the city’s mayor, Budapest Pride went ahead anyway last year, with more than 200,000 attenders turning it into a show of force for freedom, equality and the right to assemble. The resounding display of defiance against Orbán’s government was, in some ways, a harbinger of what was to come: about 10 months later, Orbán’s Fidesz party was ousted from power as Péter Magyar and his Tisza party won a landslide victory in parliamentary elections. Nearly two months after Magyar took power with promises of “regime change”, many in the LGBTQ+ community continue to reel from the
Seen and Silenced: How Russian Surveillance Software Suppresses Georgian Civilians Rights Over the past two years, the Georgian government has built a comprehensive face recognition enforcement system, procured by a Moscow-based company with ties to the Federal Security Service (FSB). The impact on demonstrators is appalling. In mid-March 2025, Nino, a Georgian PR lecturer in her 40s, received a call from the court. The assistant to a judge at the Tbilisi City Court summoned her to a hearing for blocking a road in the Georgian capital city two and a half months earlier. The call took her by surprise. Nino had protested against the alleged rigging of the last elections as well as the suspension of EU integration talks. She had known for a long time that the protest site surrounding the Georgian Parliament was covered with surveillance cameras but had not considered them to be so effective at identifying her. At the hearing a few days later, she saw footage of herself at the protest, taken by the same surveillance cameras. The video showed her attempting to cross a road while others approached her from the opposite side. Nino was accused of initiating a blockade on the road. The system had identified her through face recognition software and processed her as an unlawful protester – the fine imposed amounted to 5,000 GEL (around €1,620). The court never sent her the ticket; instead, five months later, Nino's bank accounts were frozen. She was forced to set up a crowdfunding campaign to pay off the fine. Only several weeks later, her accounts were unblocked and her payments regularized. Much like many others in Tbilisi, Nino could not afford the risk of receiving any more fines and largely stopped protesting. Her case resonated with many other Georgians who, since 2025, have stopped
Since 1995, Pixar Animation Studios has been giving us classics like Toy Story, Finding Nemo, and Cars, creating characters that have had lasting impacts on and off our screens. But, how well would you be able to recognize these characters now? From the classic era to the new era of Pixar, let's see how many characters you can correctly identify. All you have to do is match the character to the image. Good luck! Comments
Man guilty of strangling young woman to death - Published A man who strangled and killed a woman has been found guilty of murder. Jon Ismaili, 33, spent two hours at a property with Catalina Birlea, 23, in Chesterton Road in Cambridge on 2 October 2025, before covering his face as he left. Officers said Birlea was working as a sex worker on the morning she was killed. Ismaili, of Montgomery Grove, Dunstable, is due to be sentenced at Cambridge Crown Court on Monday. He travelled to the property in Cambridge at about 08:50 BST where he spent two hours before leaving. She was found by a friend 90 minutes later but died at the scene. Facial recognition technology identified Ismaili, previously of Waterbeach, as the man entering and exiting the property. Following a manhunt, he was arrested on 5 October, Cambridgeshire Police said. Officers discovered Birlea's phone had been connected to the network around Ismaili's home after she died. A post-mortem examination concluded she died as a result of compression of the neck. Ismaili made no comment in interview and pleaded not guilty to murder. It took a jury nine hours to return a unanimous guilty verdict. Det Insp Mark Dollard said: "Only Ismaili knows what happened at the property that morning and why he murdered Catalina. "He left the house knowing exactly what he had done, covering his face and actively avoiding police. I am pleased officers were able to catch up with him so quickly through diligent detective work putting together a comprehensive investigation. "Catalina was working as a sex worker that morning, and this case underlines the risks faced by those in this industry. "To those working in the sex industry who have experienced violence please report it to the police. We will listen, we will
SAN FRANCISCO, June 26, 2026 /PRNewswire/ -- The global artificial intelligence in diagnostics market size is expected to reach USD 9.68 billion by 2033, registering a compound annual growth rate (CAGR) of 21.7% from 2026 to 2033, according to a new report by Grand View Research, Inc. The market growth is attributed to the increasing adoption of artificial intelligence (AI)-powered diagnostic solutions, advancements in machine learning and deep learning technologies, and the growing need for early, precise, and efficient disease detection across healthcare systems worldwide. The global artificial intelligence in diagnostics market was estimated at USD 2.0 billion in 2025 and is projected to reach USD 2.4 billion in 2026, highlighting the rapid expansion of AI-enabled healthcare technologies. The integration of AI algorithms into diagnostic workflows is transforming medical imaging, pathology, oncology, cardiology, neurology, and other healthcare applications by improving diagnostic accuracy, reducing turnaround times, and supporting clinical decision-making. Artificial Intelligence in Diagnostics Market Report Highlights - The global artificial intelligence in diagnostics market size was valued at USD 2.0 billion in 2025. - The market is projected to reach USD 9.7 billion by 2033. - The market is expected to expand at a CAGR of 21.7% from 2026 to 2033. - North America dominated the market with a 54.8% revenue share in 2025. - Software solutions accounted for the largest component segment share at 46.2% in 2025. - Neurology represented the leading diagnosis segment with a 24.1% revenue share in 2025. Increasing Burden of Chronic Diseases Accelerates Adoption of AI-Based Diagnostic Solutions The rising prevalence of chronic diseases, including cancer, cardiovascular disorders, diabetes, and neurological conditions, is significantly contributing to the demand for advanced diagnostic technologies. Healthcare providers are increasingly adopting AI-based platforms to analyze complex medical data, identify disease patterns, and enable earlier intervention. AI-powered diagnostic systems are
IAD procurement, testing and deployment criteria clarified by expert panel The injection attacks powering a wave of digital fraud can be stopped, but not with liveness detection or deepfake detection, even though they spoof liveness, often with deepfakes. Procuring and deploying effective defense against biometric injection attacks means building a comprehensive software stack around data capture processes and selecting injection attack detection (IAD) technology that has been through repeated, independent testing, panelists in a webinar hosted this week by Biometric Update agreed. Alan Goode, CEO and chief analyst at Goode Intelligence, framed the rise of injection attacks as a shift by the fraud industry in part responding to the effectiveness of presentation attack detection (PAD) introduced to thwart biometric spoofing. Other panelists picked up on this point during the presentation as well. Goode forecasts that there will be more than 300 million injection attacks in 2028. This shift, and recognition of it in regulations around the world, are among key drivers identified in the 2026 Injection Attack Detection Market Report and Buyers Guide from Biometric Update and Goode Intelligence. Mitek Systems Senior Manager, Product Management Becky Kiichle-Gross emphasized the importance of securing the capture channel with a full stack of technologies that covers the user, device, code, session, payload and image. Organizations looking to implement IAD in their stack cannot simply look up a trusted ranking of how effective they are, however. Ted Dunstone, CEO of BixeLab, explained the current state of IAD testing, which is not yet backed by a completed ISO standard, but does provide critical insight to both buyers and developers of IAD. Innovatrics’ IAD works by binding the physics characteristics measured by smartphones to the pixels in images, says the company’s Enterprise Architect and Injection Attack Prevention Lead Filip Stiglic. Panelists agreed that educating the market
William - stock.adobe.com Metropolitan Police chief warns against law updates amid substantial tech expansion The Metropolitan Police is set to significantly expand its use of AI, drones and facial recognition in a bid to ‘regain the advantage’ over criminals, but commissioner Mark Rowley warns that progress could be held back by updated legislation and a lack of data integration in and between forces Metropolitan Police commissioner Mark Rowley has set out the force’s plan to drastically upscale its use of artificial intelligence (AI), live facial recognition (LFR) and drone technologies, as part of a wider warning against police-specific technology legislation. Speaking on 24 June, he presented the case for change in how the Met approaches technology deployment and integration, arguing that “policing today will fail if it is not allowed to keep pace with criminals” who are increasingly “organised, networked and digital”. To “regain the advantage”, Rowley said the use of new technologies was imperative, helping police integrate and exploit the colossal amounts of data they already hold, save money and build trust. As part of his warning, Rowley also announced a major roll-out of drone operations across the capital, the introduction of static live facial recognition cameras across central London, and the increased use of AI to analyse video evidence in criminal investigations. Highlighting how the introduction of technologies such as fingerprinting or body-worn video were initially met with strong public concern when they were introduced, he said “the lesson from nearly 200 years of policing” is that while new tech often meets resistance, it becomes “indispensable” when used responsibility and proves its worth. However, Rowley also took aim at campaign groups, which he accused of “slowing progress” with their calls for legislation on new technologies such as LFR. “We already operate within a robust legislative framework … and
Online dating has rapidly progressed from a little secret reserved for casual encounters into an everyday, booming business. Tinder, Hinge, Grindr, Bumble, Raya, Match and OKCupid are only a handful of the most popular dating apps, promising your "happily ever after" is just a few or a few thousand, swipes away. Yeet, a newcomer to the Gen Z dating app game, does away with swiping altogether. It also comes equipped with Yeeta, marketed as the "world's first AI dating agent." The app's unique appeal leans on artificial intelligence acting as a matchmaker to help you build a connection before you ever meet IRL. Yeet is based on a broad AI system that integrates multiple algorithms, depending on the task, with the model processing everything from emotional signals to real-time conversational dynamics, said Penny Chen, co-founder and marketing head at Yeet. Think of it like a well-meaning friend third-wheeling it on first dates and offering advice to keep the ball rolling. If you're an exhausted dater who's fed up with filling out forms and perfecting your profile, Yeet might offer a welcome respite. But letting an AI bot into your flirtatious conversations in real time could come with its own set of issues. How Yeet works The minute you open Yeet, you're met with a friendly message from Yeeta, the purple love bug bot that serves as your guide and always-on chat companion. Yeeta AI is incorporated into every element of the app's experience. It's most useful in helping romantically inclined users avoid the dreaded "Sup" and one-sided conversations that have plagued digital love-makers since the dawn of the dating swipe. Yeet uses AI image recognition to handle the heavy lifting of building almost all the elements of your profile, letting you skip the introspection and get straight to matches. Rather
World’s first 8-in-1 smart lock combines biometric access, video monitoring, and connected-home controls in one device. Greensboro, NC, June 26, 2026 (GLOBE NEWSWIRE) -- Ora FacePass today announced the launch of the FP02MY26, an 8-in-1 AI biometric video smart lock designed to streamline the front-door experience by combining facial recognition, palm vein scanning, fingerprint authentication, video doorbell capabilities, smart home connectivity, and remote access management in one device. Designed for homeowners, property managers, builders, and multifamily communities, the FP02MY26 delivers enterprise-grade security with the simplicity consumers expect from modern smart home technology. One Device. Eight Ways to Unlock. The FP02MY26 provides eight independent access methods designed to accommodate different users, properties, and day-to-day entry needs: - 3D Facial Recognition - Palm Vein Recognition - Fingerprint Recognition - PIN Code Entry - Time-Based Temporary Passcodes - RFID Key Fob Access - Mobile App Control - Physical Backup Key With all eight access methods available through one device, the FP02MY26 supports both everyday residential use and properties that require access to be coordinated across multiple occupants and visitors. Built-In Video Doorbell Intelligence Moreover, unlike traditional smart locks that require a separate doorbell camera, the FP02MY26 features a fully integrated video doorbell system with: - 160° Ultra-Wide Viewing Angle - Color Night Vision - Two-Way Audio Communication - Motion Detection Alerts - Live Remote Viewing - Activity Notifications Through the Mobile App Security Designed for Real Life The FP02MY26 introduces multiple security innovations designed to protect users in everyday situations. These functions provide added layers of protection while helping the lock remain discreet, reliable, and operational under different conditions. - Silent Alert Protection: Users can designate a special emergency fingerprint or passcode. If used during a threatening situation, the lock grants access normally while simultaneously sending a discreet alert notification to pre-selected family
26 Jun KEYNOTE SPEAKERS ON AI FOR EVENTS: BOOK & HIRE FOR CORPORATE MEETINGS OR CONVENTIONS Top keynote speakers on AI and futurist consulting experts who work as thought leaders, SMEs and KOLs suggest that artificial intelligence is one of the most transformative technologies of the modern era. Consultants and influencers explain how it remaking industries from the perspective of today’s best keynote speakers on AI, as well as improving productivity, driving innovation, and creating new business opportunities. Whether speaking to business leaders, technology professionals, educators, or government agencies, strategic advisors simply concepts and demonstrate how artificial intelligence can be applied in practical, ethical, and commercially valuable ways. Celebrity keynote speakers on AI typically come from backgrounds in technology, data science, research, software development, business consulting, entrepreneurship, or academia. Business strategists discuss subjects such as generative AI, machine learning, automation, robotics, predictive analytics, natural language processing, computer vision, cybersecurity, and responsible AI governance. Programs featuring famous keynote speakers on AI include real-world case studies showing how organizations are using tech to improve customer service, automate routine tasks, increase efficiency, reduce costs, and develop innovative products and services. Businesses invite experts to technology conferences, innovation summits, corporate meetings, financial services events, healthcare forums, educational conferences, and manufacturing expos. Featured futurist keynote speakers on AI help organizations prepare for the future by explaining both the opportunities and challenges associated with artificial intelligence, including ethics, regulation, privacy, workforce transformation, and digital disruption. A thought leader balances technical knowledge with practical business advice. Rather than focusing solely on algorithms or programming, global keynote speakers on AI explain how IT affects leadership, strategy, customer expectations, employee skills, and competitive advantage. Pros encourage organizations to adopt automation responsibly while remaining focused on human creativity, collaboration, and innovation. As tech continues to evolve rapidly, organizations increasingly seek
New Jersey Supreme Court Requires Transparency for Facial Recognition Evidence Prosecutors in New Jersey must disclose how the technology is used in criminal cases, the state’s Supreme Court ruled. Just like humans may err in recognizing faces, facial recognition technology (FRT) is not without its flaws. Multiple defendants have blamed the technology for wrongful arrests as more and more law enforcement agencies rely on the technology to identify suspects. Meanwhile, limits on its use vary from state to state and city to city. A ruling this week regarding a murder case in New Jersey, however, forces law enforcement to disclose how this technology is used in criminal investigations in the state. In State v. Tybear Miles, New Jersey's Supreme Court ruled that prosecutors must disclose how FRT was used to identify defendant Tybear Miles, who had been charged with "first-degree murder and weapons offenses." The case stems from a 2021 fatal shooting in Jersey City. A day after the shooting, officers showed a confidential informant, who did not witness the incident, CCTV footage from a nearby location. The informant identified two males by their street names and Instagram usernames, according to the ruling. After the informant identified one of the males as "Fat Daddy," police ran a photo from "Fat Daddy's" Instagram page through a facial recognition module, which identified Miles as a potential match. The ruling notes that the state provided the defendant with two different FRT searches as part of discovery. One search, according to the ruling, "returned a list of ten possible 'matches' to the probe image of [the] defendant, with [the] defendant ranked as the eighth 'match' on the list of ten." Another search "returned a list of ten possible 'matches,' with five different images of [the] defendant ranked in the first five positions." Miles' sister
ATLANTA — Travelers at Hartsfield-Jackson Atlanta International Airport now have another option for getting through airport security without carrying a physical identification card. Google Wallet and the Transportation Security Administration have partnered to expand TSA PreCheck Touchless ID, a program that allows passengers to be screened using a digital passport and facial recognition technology. The program is now available at 65 airports, including Hartsfield-Jackson. Under the partnership, travelers with Google Wallet can upload their passport to the app. Facial recognition is then used to confirm their identity, eliminating the need to present a physical ID or boarding pass at participating checkpoints. The touchless ID program was available at only a handful of airports a few years ago but has since expanded significantly. Officials say the goal of the program is to make TSA checkpoints faster and easier for travelers. WSB Radio’s Sabrina Cupit contributed to this story.