Hooters Restaurants Deploy Fingerprint Biometrics To Strengthen Authentication

DigitalPersona, Inc., a global provider of multi-factor authentication and access management solutions, recently announced Hooters of America, LLC (Hooters) has deployed DigitalPersona's U.are.U Fingerprint Readers to strengthen its loss prevention efforts. The DigitalPersona fingerprint readers and ITWercs Point-of-Sale (POS) software enable nearly 4,000 employees to use fingerprint readers at Hooters restaurants to authenticate transactions, as well as clock in and out for their shifts. With DigitalPersona fingerprint biometrics, Hooters has reduced both transaction and payroll fraud.

Hooters IT staff found it challenging to manage and track unauthorized voids using their previous PIN and swipe card security system. Hooters sought technology that could tie individuals to each transaction, and ensure manager oversight was provided when necessary. After successfully using U.are.U Fingerprint Readers at its Texas locations, Hooters expanded to other locations. Fingerprint authentication is also used for ensuring accurate time-and-attendance system for all employees.

"With thousands of employees across a large area, the costs of managing and replacing swipe cards and PINs became significant. However, the real problem was that they didn't give us the insight we needed into each transaction," said Wes Marco, director of information systems, Hooters of America, LLC. "DigitalPersona fingerprint readers have yielded immediate results. We reduced both transaction and payroll fraud, and eliminated the cost of constantly replacing lost or stolen swipe cards."

"Loss prevention is one of the biggest concerns for restaurateurs, and fingerprint biometrics has emerged as one of the best ways to prevent transaction and payroll fraud in the restaurant environment," said Chris Trytten, director of biometric product management at DigitalPersona. "DigitalPersona's fingerprint biometrics solutions let organizations tie specific users to each transaction and eliminate the ability to share credentials. Our customers report seeing immediate cost reductions."

Featured

  • Survey: 48 Percent of Worshippers Feel Less Safe Attending In-Person Services

    Almost half (48%) of those who attend religious services say they feel less safe attending in-person due to rising acts of violence at places of worship. In fact, 39% report these safety concerns have led them to change how often they attend in-person services, according to new research from Verkada conducted online by The Harris Poll among 1,123 U.S. adults who attend a religious service or event at least once a month. Read Now

  • AI Used as Part of Sophisticated Espionage Campaign

    A cybersecurity inflection point has been reached in which AI models has become genuinely useful in cybersecurity operation. But to no surprise, they can used for both good works and ill will. Systemic evaluations show cyber capabilities double in six months, and they have been tracking real-world cyberattacks showing how malicious actors were using AI capabilities. These capabilities were predicted and are expected to evolve, but what stood out for researchers was how quickly they have done so, at scale. Read Now

  • Why the Future of Video Security Is Happening Outside the Cloud

    For years, the cloud has captivated the physical security industry. And for good reasons. Remote access, elastic scalability and simplified maintenance reshaped how we think about deploying and managing systems. Read Now

  • UL Solutions Launches Artificial Intelligence Safety Certification Services

    UL Solutions Inc., a global leader in safety science, today announced the launch of artificial intelligence (AI) safety certification services, enabling comprehensive assessments for evaluating the safety of AI-powered products. Read Now

  • ESA Announces Initiative to Introduce the SECURE Act in State Legislatures

    The Electronic Security Association (ESA), the national voice for the electronic security and life safety industry, has announced plans to introduce the SECURE Act in state legislatures across the country beginning in 2025. The proposal, known as Safeguarding Election Candidates Using Reasonable Expenditures, provides a clear framework that allows candidates and elected officials to use campaign funds for professional security services. Read Now

    • Guard Services

New Products

  • A8V MIND

    A8V MIND

    Hexagon’s Geosystems presents a portable version of its Accur8vision detection system. A rugged all-in-one solution, the A8V MIND (Mobile Intrusion Detection) is designed to provide flexible protection of critical outdoor infrastructure and objects. Hexagon’s Accur8vision is a volumetric detection system that employs LiDAR technology to safeguard entire areas. Whenever it detects movement in a specified zone, it automatically differentiates a threat from a nonthreat, and immediately notifies security staff if necessary. Person detection is carried out within a radius of 80 meters from this device. Connected remotely via a portable computer device, it enables remote surveillance and does not depend on security staff patrolling the area.

  • Connect ONE’s powerful cloud-hosted management platform provides the means to tailor lockdowns and emergency mass notifications throughout a facility – while simultaneously alerting occupants to hazards or next steps, like evacuation.

    Connect ONE®

    Connect ONE’s powerful cloud-hosted management platform provides the means to tailor lockdowns and emergency mass notifications throughout a facility – while simultaneously alerting occupants to hazards or next steps, like evacuation.

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.