Multimodal object tracking and scene analytics for highly actionable, real-world contextualized data
44
stars
872
commits
Python
primary language
Sep 10, 2026
updated
Scenescape makes writing applications based on sensor data faster, easier and better by reaching beyond vision-based AI to realize spatial awareness through contextualization of multimodal sensor data in a common reference frame. It is a reference architecture which provides a collection of microservices, tools and supporting containers to quickly move from single sensor analytics to a multimodal aggregated scene view.
Overview
Getting Started
API Reference
All instructions and requirements for testing Scenescape can be found in Testing Readme.
We welcome contributions! Check out our Contributing Guide to get started.
Scenescape repository is licensed under APACHE 2.0 LICENSE.
This reference implementation focuses on functional service decomposition and API contracts. Production deployments are expected to integrate with organization-specific identity, certificate, secret management, monitoring and security solutions. The provided deployment examples are not intended to represent a complete production-grade security configuration.
Depending on your deployment, Scenescape may utilize FFmpeg and/or GStreamer.
FFmpeg is an open source project licensed under LGPL and GPL. See https://www.ffmpeg.org/legal.html. You are solely responsible for determining if your use of FFmpeg requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of FFmpeg.
GStreamer is an open source framework licensed under LGPL. See https://gstreamer.freedesktop.org/documentation/frequently-asked-questions/licensing.html. You are solely responsible for determining if your use of GStreamer requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of GStreamer.
(top 30 of 40)
Python
70.2%
C++
14.6%
JavaScript
6.9%
HTML
2.8%
Shell
2.3%
Makefile
1.8%
Multimodal object tracking and scene analytics for highly actionable, real-world contextualized data
44
stars
872
commits
Python
primary language
Sep 10, 2026
updated
Scenescape makes writing applications based on sensor data faster, easier and better by reaching beyond vision-based AI to realize spatial awareness through contextualization of multimodal sensor data in a common reference frame. It is a reference architecture which provides a collection of microservices, tools and supporting containers to quickly move from single sensor analytics to a multimodal aggregated scene view.
Overview
Getting Started
API Reference
All instructions and requirements for testing Scenescape can be found in Testing Readme.
We welcome contributions! Check out our Contributing Guide to get started.
Scenescape repository is licensed under APACHE 2.0 LICENSE.
This reference implementation focuses on functional service decomposition and API contracts. Production deployments are expected to integrate with organization-specific identity, certificate, secret management, monitoring and security solutions. The provided deployment examples are not intended to represent a complete production-grade security configuration.
Depending on your deployment, Scenescape may utilize FFmpeg and/or GStreamer.
FFmpeg is an open source project licensed under LGPL and GPL. See https://www.ffmpeg.org/legal.html. You are solely responsible for determining if your use of FFmpeg requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of FFmpeg.
GStreamer is an open source framework licensed under LGPL. See https://gstreamer.freedesktop.org/documentation/frequently-asked-questions/licensing.html. You are solely responsible for determining if your use of GStreamer requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of GStreamer.
(top 30 of 40)
Python
70.2%
C++
14.6%
JavaScript
6.9%
HTML
2.8%
Shell
2.3%
Makefile
1.8%