AWS Panorama features

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

AWS Panorama devices support RTSP-enabled IP cameras, and allow you to add IP cameras that support the ONVIF standard.

AWS Panorama devices support connecting to multiple camera streams at a given time and support running multiple ML models per stream.

AWS Panorama 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 offers a flexible option for adding CV to automate tasks that traditionally require human inspection and monitoring.

AWS Panorama devices have a built-in NVIDIA Xavier GPU for familiar development and fast machine learning computation at the edge.

You can easily discover existing fleets of IP cameras at the edge, create and deploy computer vision applications across AWS Panorama devices, manage the versioning and lifecycle of those applications as they're used for a variety of use cases, and other analytics to drive process improvements across multiple sites - all from a single 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 quickly with applications from AWS and 3Ps that enable people counting, vehicle classification, license plate recognition, and many more. AWS Panorama 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.