Drone Surveillance System for Real-Time Human Anomaly Detection

(Human Anomaly Detection) UAV Surveillance System

Data Analyst (Data Collection, Data Annotation, Image Processing & Segmentation)

Objective

The project aims to develop a robust drone surveillance system capable of real-time detection and classification of human anomalies in video feeds. By leveraging advanced computer vision and machine learning techniques, the system will contribute to enhanced security, crowd management, and public safety in various environments.

Approach