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Facial Recognition + Machine Learning

1. we have an existing program that runs on Linux; it captures videos and then saves images from the video and uploads to a cloud server.

during very busy days, when we have more people walking into the stores through the front doors it is missing some images when it uploads

the program uses a camera to record videos mounted in front of the front doors

meaning the video frames are freezing and so if people are walking in, it misses those while it is frozen

the program is written in C, C++ and Python and uses openCV for image recognition.

It runs on a Linux Ubuntu OS with 1 or more camera mounted in front of the front door.

2. we have a few stores with more than one camera and i need a change in the program so i know which camera reported that image; right now all images come into one folder and then uploads

Bottom line - we are only able to count 90% of all people coming in and not a 100% - we want to be at 100% counting for all "faces" only coming in - maybe clear faces or not so clear but definitely not counting "non-face" images.

Квалификация: Программирование на С, Программирование на C++, Linux, Machine Learning (ML), Python

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О работодателе:
( 15 отзыв(-а, -ов) ) Melbourne, United States

ID проекта: #19950127

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