LCV-YOLO: a lightweight and robust safety-helmet detection framework for complex underground mining environments

BOM-YOLOv12n: A Lightweight Detection Model for Protective Equipment in Smart Construction Sites

Experimental results indicate that BOM-YOLOv12n can serve as a competitive and efficient solution for real-time protective equipment detection in smart construction sites.

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

YOLO-FSD: A Deployment-Validation-Oriented Lightweight Fire Smoke Detection Network for Resource-Constrained ZYNQ7020 FPGA Edge Platforms

Early-stage flame and smoke in forest fire scenes are often small, weakly textured, and easily confused with complex backgrounds, while many accurate YOLO-based detectors are difficult to deploy on resource-constrained FPGA devices. This study proposes YOLO-FSD, a lightweight detector derived from YOLOv4-tiny for FPGA-...

AEL-YOLO: lightweight flying bird detection model in complex backgrounds based on YOLOv8n

An Adaptive Efficient Lightweight YOLO (AEL-YOLO) based on an optimized YOLOv8n demonstrates robust and efficient performance in complex-background bird detection and is well suited for cost-effective embedded deployment in bird-repellent systems.

ELA-YOLO: a lightweight detection algorithm for critical components of transmission lines in complex scenarios

DLSS-YOLO: lightweight fuel tank flap detection model

Automatic fuel tank flap detection represents a key technology for enabling unmanned refuelling stations. However, complex scenarios such as specular reflections, rain, and fog often directly affect the fuel tank flap detection. Conventional machine vision approaches suffer from low efficiency and insufficient accuracy...