Abstract: Industry 4.0 have transformed the fabrication industry by increasing productivity, product quality, and reducing production costs. The application of robotic arms in fabrication has become a ...

The choice of deep learning frameworks increasingly reflects how AI projects are built, from experimentation to large-scale deployment. Hiring decisions now focus on how well candidates can apply ...

Abstract: Attendance is taken as a important aspect in learning process but manual methods are slow. This paper describes the design, implementation, and assessment of an edge-based face recognition ...

The last few years have seen a rise in novel differentiable graphics layers which can be inserted in neural network architectures. From spatial transformers to differentiable graphics renderers, these ...

This is the code repository for Hands-On Computer Vision with TensorFlow 2 by Benjamin Planche and Eliot Andres, published by Packt. This book is a practical guide to building high performance systems ...

I tested video playback performance on YouTube using the web browsers included with the BeagleY-AI operating system image, which are Firefox ESR 111.15.0 (64-bit ...

TensorFlow has emerged as one of the most popular frameworks for building machine learning models. Whether you are a beginner or an experienced data scientist, understanding how to build AI models ...

In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a Raspberry Pi 4. We are going to apply a pre-trained model to recognize the ...