Vaibhav Tummalapalli is using AI-driven models and scalable data platforms to help auto brands identify and convert ...

Build practical Edge AI applications with Raspberry Pi, from basic concepts to object detection and robotics, using the AI ...

Abstract: Alzheimer's disease (AD) is a neurodegenerative disorder that requires early and exact analysis to improve the patient. This research presents a computer vision methodology to classify brain ...

Matt is an associate editorial director and award-winning content creation leader. He is a regular contributor to the CDW Tech Magazines and frequently writes about data analytics, software, storage ...

The objective of this project is to design and implement a real-time computer vision pipeline using Python. The system captures a live video stream, processes frames in real time, detects vision-based ...

Abstract: In this paper, we propose a novel approach to minimize the inference delay in semantic segmentation using split learning (SL), tailored to the needs of real-time computer vision (CV) ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

I would like to contribute a new example under the computer vision section that demonstrates image segmentation using Grounded SAM2. This section will allow users to segment parts of an image ...

To develop a computer vision model that segments stones to improve visualisation during ureteroscopy (URS) and to compare model performance to that of experts. We collected 136 videos of URS for ...