Real-Time Threat Detection with AI on Edge Devices it Proposes a system for physical threat detection using real-time edge computing to improve efficiency and privacy (Khakurel & Rawat, 2024).

Existing codes to detect edge object: YOLOv5 model to detect objects in real-time from a webcam or video stream using edge computing:

• The lightweight YOLOv5s model is efficient for running on edge devices with limited resources.
• Processing happens on the local device, enhancing privacy and reducing latency.