The following details transformation of open source raw data files from the Human Activity Recognition using Smartphones dataset in the UCI Machine Learning Repository from their initial raw component ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...

Centre for Agriculture and the Bioeconomy, School of Biology and Environmental Science, Queensland University of Technology, Brisbane QLD 4000, Australia Australian Research Council Centre of ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

Conventional microelectronics are scaled to the fibre level for information processing and storage in flexible, stretchable textiles. Compared to single-fibre systems, multi-fibre computational ...

Abstract: Micro-Doppler (mD) signatures are widely used in the field of radar-based human activity recognition (HAR). However, these mD signatures tend to weaken significantly for human tangential ...

Introduction: Advancements in sensing technologies have enabled the integration of inertial sensors, such as accelerometers and gyroscopes, into everyday devices like smartphones and wearables. These ...

Hertz and other agencies are increasingly relying on scanners that use high-res imaging and A.I. to flag even tiny blemishes, and customers aren’t happy. By Gabe Castro-Root The next time you rent a ...