C++, C# OpenCV Parking Lot / Parking Garage Video Space Counting

Parking Lot / Parking Garage Video Space Counting

We need to be able to set and draw outline of each parking space as many as need it on a particular camera view, save this setting to be use on the camera name view image.

This outline it will be showing in Green when Space is Available and Space Number in small font type. And when space is Occupied will be showing in Red and Space Number in small font type.

Keeping in mind that if reading video feed from multi-levels to have a count to be able to add or change video source on the particular sequence and perform an overall count for the scene.

And Automatically saving a report on an interval set prior on the settings screen to a database.

Assuming Video Source as MP4 Video file.

At this time we don't have much video files, but when we set in motion on this Module an agreement, we will send you some video files.

Project Source Code and Development Platform using Windows 10 Pro, Visual Studio 2017, OpenCV 2.6>, C++ or C# and OpenCV is required.

On Real-Time live view be able to count how may space are available and how many spaces are in use.

Evner: C++ Programmering, C# Programmering, C programmering, Software Arkitektur, .NET

Se mere: parking lot detection opencv python, parking lot vehicle detection using deep learning, gojek parking lot github, parking lot python github, parking lot github, parking space detection using image processing opencv python, parking lot detection github, parking space detection opencv python, video car counting systems, video car counting, opencv detect face video frames, opencv face detection video file, opencv face detection video, opencv face detect video, opencv object detection video, video people counting software, opencv capture yuy2 video, video traffic counting, programming 3d video games in c++, Design logo and landing web page for sport portal that will use lot of video content of the clubs and members. Focus on soccer /

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( 1 bedømmelse ) Biscayne Park, United States

Projekt ID: #22404389

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