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Metropolis Microservices/RidgeRun Microservices Demo/Demo Description: Difference between revisions

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(Created page with "<noinclude> {{Metropolis Microservices/Head|previous=Getting_Started/Introduction|next=Application_services|metakeywords=Metropolis|title= Demo Description |metadescription=This page provides a general overview of the PTZ RidgeRun Service}} </noinclude> The '''SmartSeek360 ''' search for objects specified by the user in a 360-degree video stream, once the object is found the system follows it trough the video leveraging the PTZ functions, and triggers video recording at...")
 
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NVIDIA Metropolis Microservices:
NVIDIA Metropolis Microservices:
#'''Video Storage Toolkit (VST):''' a NVIDIA microservice that makes it possible to discover, ingest, manage, stream, and record video streams.
#'''Video Storage Toolkit (VST):''' a NVIDIA microservice that makes it possible to discover, ingest, manage, stream, and record video streams.
'''#Deepstream AI Microservice:''' by using the NVIDIA DeepStream Microservices it is possible to obtain real-time processing of multiple video (camera) and sensor streams through deep learning based inference using pluggable models, tracking and custom CV algorithms.
#'''Deepstream AI Microservice:''' by using the NVIDIA DeepStream Microservices it is possible to obtain real-time processing of multiple video (camera) and sensor streams through deep learning based inference using pluggable models, tracking and custom CV algorithms.
REDIS: The use of the NVIDIA Redis Microservice allows to obtain a message broker for metadata output created by the inference microservices such as Deepstream.
#'''REDIS: '''The use of the NVIDIA Redis Microservice allows to obtain a message broker for metadata output created by the inference microservices such as Deepstream.
Analytics: This NVIDIA microservice is used to create metrics and to emit alerts based on the Analytics microservice configuration.
#'''Analytics:''' This NVIDIA microservice is used to create metrics and to emit alerts based on the Analytics microservice configuration.




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