Understanding Real-Time Video Analytics: A Technical Deep Dive

Real-time video analytics has evolved dramatically over the past decade. What once required specialized hardware and days of processing can now happen in milliseconds at the edge.

The Architecture

MIDL's analytics pipeline is built on a distributed architecture that can scale horizontally to handle any number of camera feeds. Each processing node handles object detection, tracking, and classification independently.

// Example: MIDL Analytics Pipeline
const pipeline = new MIDLPipeline({
  detection: "yolo-v8",
  tracking: "deep-sort",
  classification: "custom-security",
  fps: 30
});