While deep learning-based FAS models have made remarkable progress, the study highlights critical challenges that undermine ...

We know a surveillance camera can be smarter with edge AI functionality ... solve tasks such as object detection, facial recognition, or red-eye detection. Deep learning employs neural networks ...

The fundamental premise of PAD is to distinguish genuine biometric traits from fabricated ones, a task that is more complex than it appears.

Self-driving cars need to implement efficient, effective, and accurate detection systems to provide ... artificial intelligence deep learning, edge computing, and IoT, need to be implemented.

artificial intelligence deep learning, edge computing, and IoT, need to be implemented. One of the largest concerns around the popularization of autonomous vehicles is that of safety and reliability.