A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure
☆156Oct 11, 2022Updated 3 years ago
Alternatives and similar repositories for Intelligent-Video-Analytics-with-NVIDIA-Jetson-and-Microsoft-Azure
Users that are interested in Intelligent-Video-Analytics-with-NVIDIA-Jetson-and-Microsoft-Azure are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVID…☆182Jun 1, 2021Updated 5 years ago
- Azure IoT PnP application to enable remote interaction and telemetry in IoT Central for DeepStream on Nvidia Jetson Devices☆21Nov 17, 2020Updated 5 years ago
- The IntelligentEdgeHOL walks through the process of deploying an IoT Edge module to an Nvidia Jetson Nano device to allow for detection o…☆94Jun 11, 2024Updated 2 years ago
- GitHub repo for Azure Video Analyzer☆33May 21, 2022Updated 4 years ago
- Quickstart to deploy an Intelligent Video Analytics application running at the edge over multiple cameras and with custom AI models.☆47Jul 16, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Azure Video Analyzer Edge Samples in Python☆20Apr 29, 2022Updated 4 years ago
- Nvidia Deepstream YOLO Python App☆22Feb 2, 2021Updated 5 years ago
- ☆23Oct 6, 2020Updated 5 years ago
- Demonstration using the the Nvidia DeepStream Module from the Azure Marketplace with Azure IoT Central☆25Nov 17, 2020Updated 5 years ago
- Nvidia Deepstream5+Ignition Maker+Metatdata+Python☆41Nov 29, 2020Updated 5 years ago
- gloveboxes / Creating-an-image-recognition-solution-with-Azure-IoT-Edge-and-Azure-Cognitive-ServicesUse Azure Custom Vision and Azure IoT Edge to build a self-service checkout experience for vision impaired people.