Many visually impaired people identify currency notes by touching them. But as people grow older, their touch sensitivity may ...

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...

Abstract: This paper introduces a system for the detection and sorting of airport baggage based on color, utilizing LabVIEW and Arduino with serial communication via the VISA protocol. The system ...

Abstract: Road safety remains a worldwide concern because over-speeding and impaired driving together with collisions stand as the main sources of traffic-related death. Safety standards show delayed ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

ABSTRACT: Rapid and accurate detection, classification, and localization (DCL) of faults in overhead transmission lines (TLs) are critical for minimizing downtime and enhancing power system resilience ...

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 ...

We propose a synthetic data generation and annotation framework that enables panoramic object detection using existing large-scale planar image datasets. Instead of relying solely on limited ...