Notice: AWS Panorama has been discontinued by AWS. For edge computer vision applications, AWS recommends migrating to AWS IoT Greengrass with ML components. New customers can no longer use this service.
What is AWS Panorama?
AWS Panorama is an ML service that brings computer vision to edge devices. The service enables analysis of video streams with ML models directly on-site, without transmitting video data to the cloud. Organizations can use existing IP cameras and run ML-based analyses like object detection, people counting, and security monitoring locally.
Panorama manages the entire lifecycle of edge ML applications: deployment of models to edge devices, device monitoring, updates, and scaling. ML models are trained in the cloud (with SageMaker or other tools) and then distributed to Panorama devices.
Core Features
- Edge Inference: Local execution of ML models without cloud transmission
- Multi-Camera Support: Simultaneous analysis of multiple camera streams per device
- Model Flexibility: Support for custom models from SageMaker, PyTorch, and TensorFlow
- Fleet Management: Centralized management of Panorama devices through the AWS console
- Application SDK: Python SDK for developing custom computer vision applications
Typical Use Cases
Quality Control in Manufacturing: Cameras on the production line capture products. Panorama models detect defects in real time and trigger actions, such as removing faulty parts from the line.
People Counting in Retail: Cameras in stores count visitors, analyze foot traffic patterns, and identify peak hours. Analysis runs locally and privacy-compliant, without personal identification.
Workplace Safety: Panorama detects whether employees in hazardous areas are wearing required protective equipment and triggers warnings for violations. Video analysis runs locally without data storage.
Advantages
- Local processing without cloud data transmission for privacy
- Real-time analysis with minimal latency
- Use existing IP cameras without hardware replacement
- Centralized management of distributed edge devices
Integration with innFactory
As an AWS Reseller, innFactory supports you with AWS Panorama: edge architecture, ML model development for computer vision, camera planning, and integration into existing operational systems.
Typical Use Cases
Frequently Asked Questions
What is AWS Panorama?
AWS Panorama is an ML edge service that runs computer vision applications on local hardware. The service analyzes video streams from existing IP cameras with ML models directly on-site, without needing to transmit video data to the cloud.
What hardware does AWS Panorama require?
AWS Panorama supports the Panorama Appliance (a dedicated edge device from AWS) and compatible third-party devices from Lenovo and ADLINK. The appliance processes up to 8 camera streams simultaneously with NVIDIA GPU acceleration.
Can I use my own ML models?
Yes, you can use custom ML models trained with SageMaker, PyTorch, TensorFlow, or other frameworks. Models are deployed to edge devices through the Panorama console and run locally.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of AWS (official documentation). This page does not represent an offer by AWS.