Project Detail

CigDet / SURRONE.

A smoker/cigarette detection dataset and surveillance-oriented research framework benchmarking YOLO variants for environmental and safety monitoring.

Dataset and Review Framework

Architecture Overview

CigDet / SURRONE represents the environmental and safety monitoring direction of Occulins. The work combines dataset development, YOLO-based benchmarking, and a drone-oriented conceptual framework for cigarette and smoker detection. Instead of focusing only on model accuracy, the project highlights the practical deployment challenges of monitoring open environments, including small target localization, scene variability, and operational constraints. It provides a foundation for future lightweight detection systems in public-health, surveillance, and environmental monitoring scenarios.

CigDet datasetYOLO benchmarkingDrone-based frameworkEnvironmental monitoring

Architecture Diagram

surrone architecture diagram