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    Intel® Scenescape

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    Sold by: Intel 
    Deployed on AWS
    Intel® SceneScape is a multimodal scene intelligence software framework that is used for monitoring and tracking type use cases, and to create a fabric of interconnected, intelligent scenes. Intel® SceneScape connects to existing sensors to prevent vendor lock in and provides users with a single, comprehensive 4D view of their spaces.

    Overview

    Intel® SceneScape unlocks business applications from raw sensor data by providing an abstraction layer built on a digital twin of each scene. Objects, people, and vehicles within the scene are represented as overlays on the dynamic structure of the digital twin. Applications, autonomous systems, and mobile systems securely access the digital twin abstraction layer to make decisions about the state of the scene, such as whether a person is in danger, a part is worn or broken, someone has been waiting in line too long, a product has been mis-shelved, or a child has called out for help. Powerful AI algorithms and AI hardware crunch all available sensor data to maintain the 4D scene graph (3D plus time), as quickly and accurately as possible. With Intel® Distribution of OpenVINO™ toolkit, Intel® SceneScape is able to use raw sensor data to create the 4D semantic digital replica by ingesting detections from 2D cameras and mapping them into the abstraction layer. The Intel® Distribution of OpenVINO™ toolkit also helps to abstract the different types of Intel® hardware accelerators, including CPU, GPU, VPU, FPGA, and GNA, enabling developers to write code once and deploy it.

    Highlights

    • Scene Context: Scene and Sensor Management utilizes knowledge about sensors to apply scene context. For example, the position of a smart camera in a building allows for mapping the context of detected people from the camera view into building coordinates.
    • Multimodal detection: Multimodal tracking allows users to decide what sensors best fit their operational needs. Intel SceneScape readily handles visual, infrared, radio frequency (RF), Intel® RealSense™ tracking and depth sensing cameras, or even other environmental sensors.
    • Multi-sensor data fusion: Multiple sensor fusion means Intel SceneScape will detect an object of interest at multiple angles in different sensors but know to only display the object of interest once on the scene graph removing duplicates and reducing error.

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04

    Deployed on AWS

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    Pricing

    Intel® Scenescape

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (18)

     Info
    Dimension
    Cost/hour
    c7i.2xlarge
    Recommended
    $0.00
    c7i.8xlarge
    $0.00
    c7i.16xlarge
    $0.00
    c7i.48xlarge
    $0.00
    m7i.2xlarge
    $0.00
    m7i.metal-24xl
    $0.00
    m7i.4xlarge
    $0.00
    m7i.8xlarge
    $0.00
    m7i.12xlarge
    $0.00
    m7i.xlarge
    $0.00

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    It is Free!

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    New in this release

    • Percebro, Scene Controller, Scene Manager and auto calibration docker images can be built independently.
    • SceneScape can be deployed using third-party mosquitto broker.
    • Scene Controller can simultaneously work with object detections from Percebro and Deep Learning Streamer Pipeline Server.
    • Except for scene manager service at initialization, all other services can operate independent of each other.
    • Better tracker scaling with increasing object categories
    • Reduced docker image sizes
    • Revised documentation
    • Bug fixes

    Additional details

    Usage instructions

    1. Connect to the instance via SSH with the username ubuntu
    2. Run the setup script: ./setup.sh in the user home directory 3 Fill in your account details and wait for the installation to complete
    3. Once setup is complete, navigate to a web browser and connect to https://your-EC2-instance-IP-or-hostname and login with the username admin.

    Please report and discuss any issues though the link below: https://github.com/open-edge-platform/scenescape/issues 

    Note: The Scenescape application is set to start automatically on subsequent reboots

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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