What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...

Abstract: Identifying edges is a crucial foundational step in many image processing techniques, including those applied to tasks like image enhancement, segmentation, object tracking, and video or ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

As the Crimson Tide returns to Saban Field at Bryant-Denny Stadium on Saturday, it will be coming off a much-needed bye week. But Alabama linebacker Deontae Lawson says there are a few things that the ...

1 School of Internet of Things Engineering, Jiangnan University, Wuxi, China 2 School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, China Wood, a widely ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Accurate detection of sugarcane nodes in complex field environments is a critical prerequisite for intelligent seed cutting and automated planting. However, existing detection methods often suffer ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

As drones become faster, smaller, and more accessible, the need for flexible and mobile detection systems has grown. Traditional drone detection systems, often built on large, fixed infrastructure, ...

This paper addresses the challenge of traffic monitoring and incident detection in remote areas, utilizing multimodal large language models (LLMs) deployed on edge AI devices. The key novelty of the ...