Motion Detection for Video Source Files with AI (Car and Persons) + Delete Source and Output in different Folder

Dear Collegues, Dear Ladys and Gentleman,

we have a Task. Our Customer have CCTV which uploads the VideoFiles by ftp on a Server. The Video Files are 24/7 in 4K resolution. An They have to Check each Video File (>100 Cameras Manually by Motion)

So the task is:

- Save Space in Server

- Save Working Time on sighting the Video Files

Simple procedure:

Folder: /Camara1/Month/Days/[login to view URL] (When upload is finish, file is created fast but the file is not uploaded directly)

AI Tool grab the Sources, cut out the scence which has no motions by cars and person, then output the File in other folder structur but similar and deletes the Source File.

The motion detection has to be very accurate and only should work by persons with cars. We need to track the parking cars + walking ways.

If you have any questions, feel free to ask us about more details and please only bid if you´ve read the complete description.

This tool has to be integrated in our windows server + connectione to source files + output configurations

Nice Regards Emilia

Compétences : Python, OpenCV, AI (Artificial Intelligence) HW/SW, Machine Learning (ML), Serveur Windows

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Concernant l'employeur :
( 3 commentaires ) Hanau, Germany

Nº du projet : #29372149

10 freelances font une offre moyenne de 257 € pour ce travail


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