Deep learning when applied to video and oriented imagery can be groundbreaking. And great value is realized when location is added to this equation. In this session, we will explore how to use ArcGIS GeoEvent Server with NVIDIA's DeepStream to build an enterprise-wide video analytics workflow, that is able to analyze massive amounts of real-time video surveillance feeds for deep traffic analytics. We will also cover how to build an end-to-end oriented imagery feature extraction pipeline using custom computer vision networks and ArcGIS for a variety of use cases such as road sign extraction, optical character recognition, and road condition classification.
Topics covered:
• [00:08] Meet the presenters
• [01:36] Introduction to the use of AI to extract geospatial data from imagery and video [1:36]
• [05:09] Overview and demo on applying GeoAI to oriented and oblique imagery
• [35:46] Overview and demo on applying GeoAI to offline video
• [42:28] Overview and demo on applying GeoAI to real time video feeds
• [50:33] Industry application and use cases of GeoAI with video and oriented imagery
• [54:03] Resources
• [56:00] Q&A