# NVIDIA-AI-IOT/deepstream-occupancy-analytics

<https://repo.masters-masters.com/en/repos/NVIDIA-AI-IOT/deepstream-occupancy-analytics>

[Home](https://repo.masters-masters.com/en) › [NVIDIA-AI-IOT](https://repo.masters-masters.com/en/owners/NVIDIA-AI-IOT) › [deepstream-occupancy-analytics](https://repo.masters-masters.com/en/repos/NVIDIA-AI-IOT/deepstream-occupancy-analytics)

NVIDIA-AI-IOT/deepstream-occupancy-analytics has 240 stars on GitHub. Its RepoMasters card: Prototype tier. This is a sample application for counting people…

| Field | Value |
| --- | --- |
| Owner | [NVIDIA-AI-IOT](https://repo.masters-masters.com/en/owners/NVIDIA-AI-IOT) |
| Stars | 240 |
| Forks | 78 |
| Language | [C](https://repo.masters-masters.com/en/languages/c) |
| License | MIT |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [NVIDIA-AI-IOT/deepstream-occupancy-analytics](https://github.com/NVIDIA-AI-IOT/deepstream-occupancy-analytics) |

## Repository

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 applications for smart buildings, hospitals, retail, etc. The app…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.