Fast data labeling
Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.
AWS Panorama Replacement: Keep Your Edge Vision Running with Roboflow
Replacing AWS Panorama? Over 1 million engineers create datasets, train models, and deploy to production with Roboflow.
Why are companies choosing Roboflow?
The turnkey solution for vision AI. Create datasets, train models, and deploy to production.
AnnotateAI-accelerated labeling and dataset optimization
TrainComplete model training toolset and platform
BuildVisual application builder and template
DeployManaged infrastructure, cloud and edge support
End-to-End Vision, One Platform
From labeling to deployment - build, train, and launch with ease.
Built for Builders, Ready for Anything
Interoperable infrastructure for developers to create custom vision solutions.
AI at the Edge, Without Limits
Deploy seamlessly to any edge device and power real-time vision AI.
Build vision AI applications with ease
Use a low-code open source platform to simplify building and deploying vision AI applications.
Edge deployment
Cloud and edge deployments (NVIDIA Jetson, Raspberry Pi, or mobile devices) for real-time, on-premise inference.
Devices for every scenario
Software, compute, cameras: all the tools you need to deploy vision AI.
Machine learning expertise, always
Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.
Datasets and models for every industry
Access thousands of datasets and pre-trained models to kickstart your computer vision projects.
Flexible model licensing
Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.
Want to replace AWS Panorama with Roboflow?
Import images to Roboflow
Bring your training data from Amazon S3 or SageMaker to Roboflow for labeling and model training.
Deploy with Roboflow
Run models on NVIDIA Jetson and other edge devices with Roboflow Inference, connected to your RTSP cameras.
Automate data labeling
Use AI labeling in Roboflow to automate 90% of human labeling.
OK I’m ready, how do I use Roboflow?
Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.
Speak with an AI expert
Our team will help you start solving business problems on the first call.
Ask us about:
- Solution architecting
- Live demonstration
- Pricing and specifications
- Feasibility assessment
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Start where you are
Stay connected
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Compare AWS Panorama and Roboflow
AWS Panorama reached end of support on May 31, 2026. The console is no longer accessible, Panorama appliances stopped functioning, and applications that call the service no longer work. AWS's suggested path for builders is to assemble a replacement from SageMaker, IoT Greengrass V2, ECS or EKS Anywhere, and Systems Manager, and to rewrite applications to remove Panorama-specific APIs.
Roboflow replaces the stack with one platform: label data with AI assistance, train custom models like RF-DETR, and run them with Roboflow Inference on NVIDIA Jetson (the same processor family the Panorama Appliance was built on), GPU servers, or fully offline, connected to the same RTSP cameras. Roboflow Workflows carries the application logic, so teams migrate off Panorama without stitching five services together.
Ultimately, teams use Roboflow because it provides enterprise-grade stability, the option to deploy on anything from an NVIDIA Jetson at the edge to high-scale cloud clusters via Roboflow Cloud, and the ability to build complex application logic (like model chaining and industrial PLC triggers) through a visual drag-and-drop canvas with Roboflow Workflows. While others pivot away, Roboflow is doubling down on the tools engineers need to make machines see.
Roboflow
End-to-end computer vision platform (annotate, train, deploy)
AWS Panorama
Edge computer vision appliance and service, discontinued May 31, 2026
Scale & Ecosystem
Roboflow
- 1,000,000+ developers on the platform
- 1,000,000+ public datasets on Roboflow Universe
- 100,000+ pre-trained models hosted publicly
- 25,000+ organizations building with the platform, including more than half of the Fortune 100 (publicly cited: Rivian, Chobani, USG, Pella)
- Self-serve sign-up; teams can begin annotating, training, and deploying without a cloud contract
AWS Panorama
- Reached end of support on May 31, 2026: the console is inaccessible, appliances no longer function, and API calls fail
- New customer sign-ups ended May 20, 2025, when the discontinuation was announced
- AWS directs buyers to partner solutions in the AWS Solutions Library and builders to assemble SageMaker, IoT Greengrass V2, and ECS / EKS Anywhere themselves
- The Panorama Appliance (built on NVIDIA Jetson Xavier) receives no further updates and must be replaced with new edge hardware
Product Capabilities
Roboflow
- Train custom object detection, segmentation, classification, and keypoint models on your own classes, including RF-DETR and YOLO architectures
- Roboflow Workflows chains detection, classification, OCR, and business logic into a single pipeline, replacing hand-written application code
- Process RTSP camera streams in real time on edge hardware
- Auto Label uses foundation models (Grounding DINO, SAM 3) so teams automate up to 90% of human labeling
- Export and import across 40+ annotation formats, including COCO, YOLO, and Pascal VOC
AWS Panorama
- Ran computer vision applications on the Panorama Appliance against RTSP camera feeds; that capability ended with the service
- Applications were built against Panorama-specific SDKs and APIs, which AWS says must be rewritten (its sample migration code uses PyAV or OpenCV)
- Model training always lived outside the service, typically in SageMaker
- No labeling, dataset management, or model registry; each piece required separate tooling
Migration & Developer Experience
Roboflow
- Open-source inference server - a Docker container that runs custom and foundation models on NVIDIA Jetson, GPU servers, Raspberry Pi, and x86 hardware, online or fully offline
- Open-source supervision library for detections, tracking, annotation, and evaluation in production pipelines
- Hosted inference APIs with autoscaling for workloads that belong in the cloud
- Standardized I/O lets teams swap model weights without changing application code
AWS Panorama
- AWS's replacement guidance spans five services: SageMaker for models, IoT Greengrass V2 or Systems Manager for devices, ECS / EKS Anywhere for containers, and Secrets Manager for RTSP credentials
- Codec and sensor flexibility in the DIY path comes from adopting GStreamer or NVIDIA DeepStream on your own
- No single managed replacement is offered; integration and maintenance shift to your team
Enterprise & Security
Roboflow
- SOC 2 Type II compliant
- HIPAA-compliant infrastructure with BAAs available
- PCI DSS (SAQ A and AOC) compliance
- Deployment options: managed cloud, customer VPC, on-premises, and fully air-gapped / offline (Docker-based) for firewalled environments
- Labeling, training, and inference can run in the customer's own cloud account or on customer-owned hardware
AWS Panorama
- Carried AWS's compliance portfolio while the service ran
- After end of support there are no security updates for the appliance or its software
- Continued operation of Panorama-era hardware means running unsupported, unpatched devices on your network
Sources: roboflow.com, docs.roboflow.com, universe.roboflow.com, github.com/roboflow, docs.aws.amazon.com/panorama/latest/dev/panorama-end-of-support.html, aws.amazon.com/panorama. Figures reflect publicly available information as of August 2026.