WDSU investigates the tool that has helped catch fugitives but sparked a fierce debate over privacy, power and public trust.

In this paper, we present a parallel architecture for fast and robust face detection implemented on FPGA hardware. We propose the first implementation that meets both real-time requirements in an ...

This project, developed with VS Code, Jupyter Notebook and Google Colab, uses Python (Flask, Pytorch, face_recognition, and more) and Postman (for API Testing) to develop two implementations of ...

In this research, we put forward an architecture that combines recent deep learning algorithms with geometry techniques to create robust models that can handle aspects like detection, tracking and ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.