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@@ -13,7 +13,17 @@
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## Description
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-This is a demo project for "People Count Application" using NVIDIA Deepstream SDK and Transfer Learning Toolkit (TLT).The application is based on deepstream-test5 application. It takes the input source data, uses PeopleNet model for inferencing and sends the people count data to cloud.
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+ This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT) and pre-trained models. This application can be used to build real-time occupancy analytics application for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.
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+ It takes streaming video as input, counts the number of people crossing a tripwire and sends the live data to the cloud. In this application, you will learn:
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+ How to use PeopleNet model from NGC
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+ How to use NvDsAnalytics plugin to draw line and count people crossing the line
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+ How to send the analytics data to cloud or another microservice over Kafka
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+ You can extend this application to change region of interest, use cloud-to-edge messaging to trigger record in the DeepStream application or build analytic dashboard or database to store the metadata.
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+To learn how to build this demo step-by-step, check out the on-demand webinar on Creating Intelligent places using DeepStream SDK[https://info.nvidia.com/iva-occupancy-webinar-reg-page.html?ondemandrgt=yes].
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## Prerequisites
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root