AWS Panorama pricing

In this example, you purchase an AWS Panorama Appliance to improve workplace safety. You want to monitor if pedestrians are crossing into heavy machinery operating zones in your facility. You train a machine learning model in Amazon SageMaker to identify when people come within the restricted machinery operating zone. Your write business logic that logs these occurrences and sends results from the Appliance to your site safety system in real-time.

Your workplace safety artifacts, which include the ML model and business logic, are 200MB in size. You run this workplace safety model on your Appliance against seven camera streams continuously.

In this example, you want to automate the quality inspection of parts moving along the manufacturing lines at five sites. You purchase one AWS Panorama Appliance for each site (5 total), where there are 10 cameras already installed per site (50 cameras total). You use an existing ML model you previously trained in Amazon SageMaker to identify when parts have common manufacturing errors. Your associated business logic sends results from the Appliance to the site manufacturing analytics system.

Your quality inspection artifacts, which include the ML model and the business logic, are 2GB in size. You use your AWS Panorama run this quality inspection model against all 10 camera streams for each site’s Appliance (10 cameras x 5 appliances = a total of 50 camera streams).

You also purchase one AWS Panorama Appliance Developer Kit to test updates to your ML model and business logic using non-production camera streams. You publish an updated version of the quality inspection ML model every 3 months, but only store the latest two versions in your account. So, for 2 versions at 2GB each = 4GB total AWS Panorama cloud storage.