Search results
DeepStream 5.0 - 360 Degree Smart Parking Application. This document describes the full end to end smart parking application that is available with DeepStream 5.0. The above architecture provides a reference to build distributed and scalable DeepStream applications.
Smart parking detection container is a perception pipeline of the end-to-end reference application for managing parking garages. The perception pipeline will generate the metadata from camera feed and send it to the analytics pipeline for data analytics and visualization dashboard.
Sep 22, 2020 · DeepStream Smart parking detection container is a perception pipeline of the end-to-end reference application for managing parking garages. The perception pipeline will generate the metadata from camera feed and send it to the analytics pipeline for data analytics and visualization dashboard.
Dec 11, 2019 · In this complete end-to-end solution, we are showing a smart parking garage application where DeepStream is used to build the perception graph on the edge and Apache Spark is used to build the analytics engine.
DeepStream 5.0 - 360 Degree Smart Parking Application. This document describes the full end to end smart parking application that is available with DeepStream 5.0. The above architecture provides a reference to build distributed and scalable DeepStream applications.
System Overview. Configuration. Running Tracker. Introduction. In a multi-camera system, objects move from fields-of-view (FoV) of different cameras. For example, in our garage setting, we have around 150 cameras – each camera covering a few 10s of meters of aisle.
Nov 13, 2018 · The smart garage example uses 150 360-degree fish-eye cameras mounted on ceilings and an additional eight cameras meant for license plate detection to uniquely identify and tag cars at entrances and exits of a parking garage.
