AWS Panorama is a machine learning Appliance and Software Development Kit (SDK) that allows organizations to bring computer vision (CV) to on-premises cameras to make predictions locally with high accuracy and low latency. With AWS Panorama, you can automate tasks that have traditionally required human inspection to improve visibility into potential issues.
For example, you can use AWS Panorama to evaluate manufacturing quality, identify bottlenecks in industrial processes, and monitor workplace safety and security – even in environments with limited or no internet connectivity.
The AWS Panorama Appliance is a hardware device that allows you to add CV to your internet protocol (IP) cameras that weren’t built to accommodate computer vision. AWS Panorama Applicance turns your existing cameras into smart cameras that can run CV models on multiple concurrent video streams.
The AWS Panorama Device SDK is a software kit that enables third-party manufacturers to build new cameras that run more meaningful CV models at the edge for tasks like object detection or activity recognition. AWS Panorama-compatible cameras work out of the box with AWS machine learning services.
Manufacturing quality control
AWS Panorama enables CV at the edge to detect manufacturing defects and deliver alerts so you can take immediate corrective action. With AWS Panorama, you can identify and resolve issues faster to help improve product quality and decrease costs.
Reimagined retail insights
With AWS Panorama, you can leverage CV to uncover insights about your retail environment to improve operations and customer experience. For example you can use AWS Panorama to count customers, generate heat maps, and calculate the length of queues.
Industrial sites can use AWS Panorama to identify when workers or vehicles are straying into dangerous, off-limit zones. It can integrate with your safety systems to sound an alert to the individual on the ground, or even send a signal that shuts off machinery.
Supply chain efficiency
AWS Panorama can provide critical input to supply chain operations by tracking throughput, recognizing bar codes or labels of parts or completed products, and optimizing freight operations in transport yards.