Remove facial-recognition-systems
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Bringing Facial Recognition Systems To Light

Partnership on AI

The post Bringing Facial Recognition Systems To Light appeared first on The Partnership on AI.

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Face Verification: A Powerful Tool for Combating Fraud and Enhancing Safety

Binfire Collaboration Blog

Client face verification system compares and assesses a person’s facial characteristics using biometric technologies to confirm their identity. The face, head, chin, and eyes are used in this situation to access an application system or service to authenticate the identity. Like a face scanner, it operates.

Fintech 52
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Top 10 Strategic Imperatives Defining the Commercial and Public Security Industry

Frost & Sullivan

Transformative Megatrends Increased Adoption of Biometric Authentication Systems: The increased adoption of biometric systems and utilization of unique biological traits for identity verification enhance security measures.

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When AI Systems Fail: Introducing the AI Incident Database

Partnership on AI

Governments, corporations, and individuals are increasingly deploying intelligent systems to safety-critical problem areas, such as transportation, energy, health care, and law enforcement, as well as challenging social system domains such as recruiting. Avoiding repeated AI failures requires making past failures known.

Law firms 143
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HID Earns Frost & Sullivan’s 2023 Global Product Leadership Award for Delivering World-class Biometric Authentication Solutions

Frost & Sullivan

Particularly, HID possesses a wide portfolio that offers first-class solutions for facial recognition, fingerprint biometrics, and livescan technology, creating substantial customer value for a wide range of use cases across different industries.

Banking 52
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Innovation in Surveillance Technologies Ignites Global Surveillance Solutions Market Growth

Frost & Sullivan

SAN ANTONIO – March 23, 2022– Frost & Sullivan’s recent analysis, Global Surveillance Solutions Growth Opportunities , finds that the increasing adoption of advanced surveillance systems and technology innovations is accelerating market growth.

Retail 96
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Shedding light on AI bias with real world examples

IBM Business Partners

As companies increase their use of artificial intelligence (AI), people are questioning the extent to which human biases have made their way into AI systems. However, just as systemic racial and gender bias have proven difficult to eliminate in the real world, eliminating bias in AI is no easy task.