AWS Panorama Documentation

Once installed and connected to your network, the AWS Panorama Appliance connects to the AWS Management Console where you can register your AWS Panorama Appliance and add video feeds from onsite cameras, deploy trained ML models, and run applications in minutes.

The AWS Panorama Appliance supports RTSP-enabled IP cameras, and allows you to add IP cameras that support the ONVIF standard.

The AWS Panorama Appliance supports connecting to multiple camera streams at a given time and supports running multiple ML models per stream.

The AWS Panorama Appliance allows you to deploy CV applications to the edge, allowing you to run cloud-based machine learning where low-latency, data privacy, and limited internet bandwidth are concerns. AWS Panorama Appliance offers a flexible option for adding computer vision to help you automate tasks that traditionally require human inspection and monitoring.

The AWS Panorama Appliance has a built-in Nvidia Xavier GPU for familiar development and machine learning computation at the edge.

You can discover existing fleets of IP cameras at the edge, create and deploy computer vision applications across AWS Panorama-enabled devices, manage the versioning and lifecycle of those applications as they're used for a variety of use cases, and utilize other analytics to drive process improvements across multiple sites - all from a management interface in the AWS console.

AWS Panorama supports a growing ecosystem of pre-built applications from AWS and third party (3P) developers. Customers without machine learning experience can get started with applications from AWS and 3Ps that enable various applications. The Panorama service also enables developers to train their own ML models with a variety of frameworks in the cloud and then quickly optimize them to run fast and accurately at the edge. 

The AWS Panorama Appliance is a ruggedized IP62 rated edge appliance, which makes it suitable for deployment in many types of environments as it is dust proof and water resistant.

For additional information about service controls, security features and functionalities, including, as applicable, information about storing, retrieving, modifying, restricting, and deleting data, please see https://docs.aws.amazon.com/index.html. This additional information does not form part of the Documentation for purposes of the AWS Customer Agreement available at http://aws.amazon.com/agreement, or other agreement between you and AWS governing your use of AWS’s services.