Real-time flood severity classification using MobileViT and visual data in resource-constrained environment of Bangladesh

RoadGuard: A real-time YOLO-based intelligent pothole detection and severity assessment framework for smart transportation infrastructur

Road is the vital connection for communication between different places in our daily life. The periodical maintenance of road surface, particularly detection of potholes in a prior basis is very important and a major challenge not only for transportation safety but also important for preventing several accidents and hu...

Multi-Temporal Flood Mapping and Prediction using Sentinel-1 and Landsat-8 Data Fusion

Lightweight SFGI-YOLO for real-time forest fire and smoke detection from images on Raspberry Pi edge devices

Road Traffic Object Detection System for Severe Weather Scenarios Based on YOLOX

Road traffic object detection is the core perceptual task in the current field of intelligent transportation. The You Look Only Once (YOLO) series algorithms are widely used for real-time detection due to their end-to-end inference, fast speed, high accuracy, and ease of deployment. However, existing public datasets ar...

Smart road maintenance: real-time surface damage detection and mapping with YOLOv8

This study presents a deep learning model based on YOLOv8 that can find many types of road faults, like potholes, longitudinal cracks, transverse cracks, and alligator cracks, using pictures, video streams, and live webcam feeds, demonstrating that using computer vision and geospatial analytics together could make it e...

Protecting Forests Through Intelligent Edge Computing: CBAM-UNet for Real-Time Deforestation Detection

The accelerating loss and degradation of forest ecosystems necessitate accurate and efficient monitoring approaches. This study presents a lightweight, attention-enhanced semantic segmentation framework for binary forest canopy segmentation using satellite imagery. The proposed model integrates a U-Net architecture wit...