Скачать или смотреть Edge Computing with Kubernetes | Human Detection | TensorFlow SSD + OpenCV | Cybersecurity Lab Demo

In this video, I demonstrate a practical Edge Computing use case with Kubernetes by deploying an AI-based human detection application on a Raspberry Pi cluster.

1. Lab Environment:
Edge Device: Raspberry Pi 4B running Raspbian OS
Cluster Orchestration: Lightweight Kubernetes (K3s) with Docker runtime
AI Components: Pre-trained SSD TensorFlow model with OpenCV for image processing
Cloud Integration: Detected human objects are forwarded and stored in a private cloud server

2. What you will learn:
How to set up K3s Kubernetes cluster on Raspberry Pi for edge workloads
Building a Docker container for AI human detection on Raspbian
Running and orchestrating AI containers with Kubernetes pods
Using TensorFlow SSD (COCO dataset) and OpenCV for object detection at the edge
Sending detection results from the edge to the cloud for storage and visualization