This surveillance system is designed to process video feeds using a distributed Edge-to-Cloud architecture. Its primary goal is to identify and alert residents and authorities about dangerous animals detected in video footage. The system integrates edge devices (for real-time processing) and cloud servers (for intensive tasks like object recognition), ensuring quick and accurate responses. A feedback mechanism helps monitor and adjust the system, ensuring it operates within Service Level Objectives (SLOs).
