The SAFR Blog

Why the Future of AI is Happening at the Edge

We’re used to thinking of powerful computing happening in the cloud or big servers. But today, that’s changing fast. Thanks to major leaps in processing power and AI technology, smart devices can now handle complex tasks right where the data is created, directly at...

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Ditch the Noise: Smarter Alerts for LP Teams

Better Signal-to-Noise Helps LP Focus on What Matters Loss prevention teams face a growing challenge. It is not just retail crime on the rise, but alert fatigue caused by too many irrelevant notifications. Most systems generate more noise than insight. Teams lose time...

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Do you really know who went through the door?

Why Visual Evidence Makes Facial Recognition the Best Choice for Access Do you really know who went through the door? The Problem: Card-Based Access Leaves You in the Dark Traditional access control systems rely on cards, mobile phones, fobs, or PINs, and every entry...

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Why Choose a Fit-for-Purpose Camera?

Why Choose a Fit-for-Purpose Camera? Since the introduction of network-based security technology, high-definition surveillance cameras have evolved in a myriad of ways. Today’s cameras are engineered to deliver the clearest possible picture of activity in their field...

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Securing PII in Biometric Authentication Systems

  Securing PII in Biometric Authentication Systems In an increasingly digital world, safeguarding personally identifiable information (PII) has never been more crucial. PII is any data that can, either on its own or when combined with other information, identify...

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Minimizing Bias in Facial Recognition

  Engineering Ethics into AI: Minimizing Bias in Facial Recognition Facial recognition technology, like any deep learning algorithm, is only as effective as the code and the dataset it is trained on. For companies with global reach, the ethical imperative lies in...

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Facial Recognition vs. Identity Recognition

  Facial Recognition vs. Identity Recognition: What's the Difference? Facial recognition and Identity recognition may sound similar, but they serve very different purposes. One detects a face, while the other confirms who that face belongs to by linking it to...

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