YOLOv8 Emergency Event Detection API
A real-time API service for detecting emergency events (falls, fights, intrusions) from security camera feeds using YOLOv8 with low-latency inference.
Problem Statement
Security operations centers require automated flagging of emergency events from continuous video streams. Manual monitoring is unreliable at scale.
Method & Approach
Fine-tuned YOLOv8 on a curated dataset of emergency event frames. Built a REST API with FastAPI, containerized with Docker, supporting stream input and event webhook callbacks.
Dataset / Data Source
Custom annotated dataset assembled from public surveillance datasets and in-house collected footage.
Results
Achieved real-time inference at 30+ FPS on GPU. Deployed and tested on a local surveillance testbed with 94% precision on the evaluation set.
My Contribution
Dataset curation, model fine-tuning, API design, Docker containerization, and deployment testing.