Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

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 ...

ABSTRACT: Drone swarms are increasingly deployed in fire-fighting missions due to their scalability, adaptability, and ability to operate in hazardous and dynamic environments. However, ensuring ...

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 ...

Flutter – Cross-platform mobile framework Google ML Kit – Face detection and recognition APIs Camera Plugin – Real-time camera stream processing Dart – Programming language for Flutter Android/iOS ...

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 ...

Abstract: The advent of RT-DETR marks a pivotal advancement in object detection research. Despite their advancements, DETR-based detection frameworks remain underutilized in underwater scenarios due ...