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AWS Panorama

AWS Panorama is a set of machine learning (ML) devices and a software development kit (SDK) that provides computer vision (CV) to on-premises internet protocol (IP) cameras, according to the company.

Why AWS Panorama?

Cloud-based AWS Panorama is a mix of machine learning (ML) devices and a software development kit (SDK) that provides on-premises internet protocol (IP) cameras with computer vision (CV). You can improve your processes by using computer vision at the edge. A cost-effective way to add computer vision (CV) to your existing fleet of cameras is to use AWS Panorama devices, which simply connect to your local area network. You can use a single administration interface to generate predictions with high accuracy and low latency by studying video feeds in milliseconds and making predictions with high accuracy and low latency. In this way, you have complete control over where your data is stored and can continue to work even if your internet connection is restricted.

How it Works


Image sourced from Amazon Web Services

Use Cases

  • Enhance the supply chain’s logistical efficiency by tracking and optimising throughput and by reading barcodes or text on labels.
  • Real-time alerts are being delivered to traffic control personnel in order to keep traffic flowing in the lanes monitored for issues such as stopped vehicles.
  • Manufacturing anomalies should be recognised as soon as feasible so that the user can take remedial action and save money.



    • Quick and simple set-up

    When your AWS Panorama device is set up and connected to your network, it can communicate with the AWS Management Console. With AWS Panorama, you can sign in, add video feeds from on-site cameras and train machine learning models in just a few seconds.

    • IP cameras should be connected.

    It is possible to use AWS Panorama devices with RTSP-enabled IP cameras as well as IP cameras that support the ONVIF standard.

    • Multiple models and streams can be supported simultaneously.

    AWS Panorama devices can execute several machine learning models on each stream while simultaneously connecting to multiple camera streams.

    • Inference on the periphery

    Using AWS Panorama, you can run cloud-based machine learning on the edge in regions where low latency, data protection, and limited internet connection are critical factors, such as healthcare. It is also possible to include CV in AWS Panorama to automate tasks that would otherwise necessitate manual inspection and monitoring by humans, such as the collection of data.

    • GPU (graphics processing unit) computation

    With a built-in NVIDIA Xavier GPU, the AWS Panorama devices enable for familiar programming and fast machine learning computation at the edge.

    • Managed service from the edge to the cloud

    Cloud-based AWS Panorama provides a single administration platform for deploying and managing computer vision applications across a wide range of AWS Panorama devices, as well as a variety of other analytics that may be utilised to drive process improvements across many sites.

    • CV deployment options that are adaptable

    In addition, AWS Panorama provides support for a growing community of pre-built apps from AWS cloud computing and third-party (3P) developers (AWS Panorama). Clients with no prior knowledge of machine learning may quickly get up and running with apps that count people and cars, classify vehicles and licence plates, and more with AWS development services and 3Ps. To train machine learning models on the cloud, AWS Panorama lets developers use frameworks before quickly optimising them to run efficiently and accurately on the edge.

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    Management of the API Lifecycle

    Faster development of computer vision applications

    • SDK for application development

    With a Python-based software development kit, you can easily gather camera frames and make machine learning (ML) inferences on image data without programming knowledge (SDK).

    • Case studies in the application

    With working sample code, you’ll learn how to create applications for common scenarios.

    • Test Utility

    Allows you to test and debug AWS Panorama apps without the need for a physical device to be present.

    • Large-scale support for machine learning frameworks

    Consider using TensorFlow, PyTorch, or MxNet to train models and algorithms. Using Nvidia TensorRT, Amazon SageMaker Neo, or your machine learning runtime, test models and see how they perform.

    • Networking on a local level

    Create a direct connection between AWS Panorama apps and systems on the local area network to receive event triggers or publish findings without going to the cloud.

    • Monitoring of applications and devices

    Alarms can be set up in Amazon CloudWatch to alert you when your AWS Panorama application or device faces problems.

    • APIs for administration

    Use application programming interfaces (APIs) to automate workflows in the control of devices, cameras, and software applications.

    • The use of end-to-end encryption

    AWS Panorama simplifies securing your application by encrypting models, passwords, and assets while they are in transit and at rest.

    AWS Panorama Application Development

    Faster development of computer vision applications

    • SDK for application development

    You don’t need to know how to program using a Python-based software development kit to gather camera frames and perform machine learning (ML) on picture data (SDK).

    • Case studies in the application

    In this course, you will learn how to build applications for a variety of scenarios using working sample code.

    • Test Utility

    Testing and debugging AWS Panorama programmes do not necessitate a physical device.

    • Large-scale support for machine learning frameworks

    To build models and algorithms, look into TensorFlow, PyTorch, or MxNet. Test models and see how they perform using Nvidia TensorRT, Amazon SageMaker Neo, or your own machine learning runtime.

    • Networking on a local level

    AWS Panorama apps and systems can be connected directly to the local area network (LAN) for the purpose of receiving event triggers or publishing findings without having to go to the cloud.

    • Monitoring of applications and devices

    For case your AWS Panorama application or device has problems, alarms can be set up in Amazon CloudWatch and sent to your email or phone.

    • APIs for administration

    Use APIs to automate the control of devices, cameras, and software applications in the workflow.

    • The use of end-to-end encryption

    AWS Panorama encrypts models, passwords, and assets as they are in transit and at rest, making it easier to secure your application.

    AWS Panorama Devices

    AWS Panorama devices include the AWS Panorama Appliance and the Lenovo ThinkEdge SE70, both of which are powered by AWS Panorama. A variety of hardware options are available based on your unique use case, which can range in price and performance. There are pre-defined solutions such as improving supply chain logistics, enhancing traffic management, and analysing manufacturing quality that you can use with AWS Panorama Partners regardless of the device you choose.

    Lenovo ThinkEdge SE70 laptop computer

    The Lenovo ThinkEdge SE70 is designed to meet the growing demand for intelligent transformation in a variety of industries, including logistics, transportation, smart cities, retail, healthcare, and manufacturing environments. NVIDIA Corporation developed the NVIDIA® JetsonTM XavierTM NX platform that powers the new Lenovo edge solution in conjunction with AWS.


    AWS Panorama Appliance


    Additionally, you may use the AWS Panorama Appliance to run several computer vision (CV) models on multiple video streams at the same time on your local area network. Due to its dust- and water-resistant construction, the AWS Panorama Device is an IP62 certified edge appliance that can be deployed in a variety of environments.

    Two GigE Ethernet ports provide for redundancy, connecting to two subnets, or distributing load over the two connected subnets. A USB port is included on the AWS Panorama Appliance for connecting to a PC. Because it is half the width of a standard server rack shelf, two units can be placed side by side on the shelf and fastened to the rack with the screws that come with the device.


    AWS Panorama Device SDK


    AWS Panorama Device Software Development Kit enables manufacturers to construct new edge appliances and smart cameras that can run computer vision (CV) models at the edge (SDK).
    The AWS Panorama Device SDK enables a wide range of edge gateways and smart cameras to be integrated with AWS Panorama. With edge gateways and smart cameras powered by AWS Panorama from leading device manufacturers in the transportation and logistics industry, clients will be able to address their unique edge computer vision use cases on the edge of their network.
    The AWS Panorama Device SDK is utilised by a variety of firms, including Lenovo, ADLINK Technology, Axis Communications, Basler AG, STANLEY Security, and VIVOTEK, to create Panorama devices.

    Developers of computer vision devices can use this AWS Panorama SDK to build and test their devices with the AWS Panorama service using example code, APIs, and other resources. By working together with the AWS Panorama team, device makers will be better prepared to launch their commercial goods faster by finalising the integration of the AWS Panorama Device SDK and performing certification tests.

    It is now possible to use the AWS Panorama Device SDK with the NVIDIA Jetson product line.

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    By integrating computer vision into your on-premises cameras, AWS Panorama extends the possibilities of those cameras (CV). You pay upfront for the gadget, and then you get paid a monthly charge based on the number of unique camera streams handled by the device. In addition to the device’s monthly price, users must pay for the cloud storage of application assets provided to the device, such as ML models and business logic.

    The following pricing is available for AWS Panorama and Usage Devices: One-time payment is required for the gadget.


    Device usage:


    The device will charge you $8.33 per month for each camera video stream it processes.

    Versioned versions of application assets (including machine learning models and business logic) that have been distributed to devices are stored in the cloud using AWS Panorama cloud storage. For this storage, you’ll be charged $0.10 per GB per month.


    Charges in addition to the base rate


    It is possible to incur additional charges if your AWS Panorama device receives business logic that relies on other AWS services. For example, if your business logic uploads ML predictions to Amazon Simple Storage Service (Amazon S3) for offline analysis, you will be charged by Amazon S3 for any storage expenses incurred. See the Amazon S3 pricing page and the other relevant AWS computing service pricing pages for more information.

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