AWS Panorama のアイコン

AWS Panorama Specialized2020年〜

A service that adds computer vision to existing IP cameras for edge-based video analysis

What It Does

AWS Panorama is a computer vision service that analyzes video from existing IP cameras in real time on an edge device (Panorama Appliance). It runs ML models for object detection, people counting, safety equipment compliance checks, and more at the edge, processing video locally without sending it to the cloud.

Use Cases

Used for counting visitors in retail stores, factory safety monitoring (helmet compliance checks), warehouse inventory management, and parking lot availability detection.

Everyday Analogy

Think of it as adding AI eyes to surveillance cameras. Traditional surveillance cameras (IP cameras) just record footage, but adding Panorama enables them to automatically determine 'how many people are present' and 'whether safety equipment is being worn.'

What Is Panorama?

AWS Panorama is a service that enables computer vision at the edge. Connect the Panorama Appliance (edge device) to your existing IP camera network and deploy ML models built with SageMaker. Since video is processed at the edge, it saves bandwidth and protects privacy. Only analysis results are sent to the cloud.

Applications and Models

A Panorama application is a pipeline that receives video streams from cameras, runs inference with ML models, and outputs results. You can use custom models trained with SageMaker or pre-built models from AWS Marketplace. A single Appliance can process multiple camera streams simultaneously. For a comprehensive view of applications and models, technical books on Amazon are a great reference.

Getting Started

Purchase a Panorama Appliance and connect it to your network, then register the device in the Panorama console. Create an application, configure the ML model and camera streams, and deploy to the device. Analysis results are sent to CloudWatch or IoT Core for downstream processing.

Things to Watch Out For

  • The Panorama Appliance hardware purchase is an upfront cost
  • Since video is processed at the edge, no cloud video transfer costs are incurred
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