What we tried, what didn't work and how a combination of approaches eventually helped us build a reliable computer vision model.

Facial recognition technology, originally developed for border crossings, has been expanded to help drive mass deportation ...

News of a new client comes only a week after the facial recognition provider faced accusations of mistaking an innocent woman ...

Face recognition device market grows with AI advances, demand for security, and smartphone use, despite privacy, cost, and regulatory challenges.” — Allied Market Research WILMINGTON, DE, UNITED ...

Human-surveillance technologies have advanced in the past few years with the rapid development of artificial intelligence (AI ...

In the realm of infrastructure maintenance, a novel approach to detecting concrete bridge damage has emerged. Researchers ...

Traditional industrial vision systems face resolution, environmental and processing limitations. Cloud-centralized, ...

Evan Spiegel, CEO of Snap Inc., speaks onstage during the Snap Partner Summit 2024 on Sept. 17, 2024, in Santa Monica, California. [CHARLEY GALLAY/GETTY IMAGES FOR SNAP INC./TNS] ...

For years, Snap has envisioned a future where people wear glasses to view and interact with computer-generated images without having to scroll through their smartphones. The Santa Monica, ...

In the field of face detection, computer vision is a fundamental and crucial task, widely applied in video surveillance, identity verification, social media, entertainment, and healthcare. While face ...

Vision-language models (VLMs) have demonstrated exceptional capabilities across diverse domains, yet their potential in environmental health monitoring remains underexplored. This study introduced VLM ...

Face recognition process can be used for individual verification and identification. Generating an image that can be used for identification, manipulation, modeling, pattern recognition, and object ...