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15 articles
Google is rolling out an update to Google Home that will improve facial recognition accuracy, allowing the smart home system to better identify people even when they're not facing the camera directly.
Learn how facial recognition technology works by building a simple Python-based facial recognition system. Understand the basics of face detection, feature extraction, and face comparison.
The UK government plans to use flawed facial recognition technology to determine the ages of asylum seekers, despite internal tests revealing significant inaccuracies. Human rights groups have raised serious concerns about the risks of misidentification in high-stakes immigration cases.
A wrongful arrest in Florida has exposed serious flaws in one of the oldest face-recognition systems used by U.S. law enforcement, prompting a lawsuit from the ACLU. The case highlights the dangers of relying on outdated facial recognition technology in criminal investigations.
Meta removed facial recognition code from its smart glasses app just one day after it was exposed by WIRED, sparking concerns over transparency and user privacy.
This explainer explains facial recognition technology and its privacy implications, using the Ring doorbell lawsuit as a practical example.
Learn to build a facial recognition system in Python using OpenCV and face_recognition libraries, while understanding the privacy implications highlighted in recent news about Amazon's Ring doorbells.
Learn to build a basic facial recognition system using Python and OpenCV that demonstrates the technology behind AI-generated content monitoring and copyright protection.
Clarifai has deleted 3 million photos provided by OkCupid for facial recognition AI training, following an FTC settlement. The move comes after revelations that OkCupid's executives had invested in Clarifai.
Clarifai has deleted 3 million OkCupid user photos after a data transfer in 2014 that violated the platform’s privacy policy. The company was not accused of wrongdoing in the FTC settlement.
This article explains the advanced AI and machine learning technologies behind biometric facial verification systems, including how they work, their technical implementation, and their broader implications for digital identity and platform security.
Learn to build a privacy-conscious facial recognition system using Python and OpenCV with anonymization features and access controls.
