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Quick answer

Reinforced AI people detection using RGB-D cameras is an open source machine vision project from Hackster.io, indexed by ZouIC. RGB with Depth sensor cameras can be used to enhance overlapped people detection wrt other AI methods using only video information.

Source
Hackster.io
Focus
machine vision
Author
alfredo.gardel
Published
2022-04-18

Common questions

What does Reinforced AI people detection using RGB-D cameras do?

RGB with Depth sensor cameras can be used to enhance overlapped people detection wrt other AI methods using only video information.

Where does Reinforced AI people detection using RGB-D cameras come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/alfredo-gardel/reinforced-ai-people-detection-using-rgb-d-cameras-7921e9.

What stack does Reinforced AI people detection using RGB-D cameras use?

tags AMD Xilinx, Intel, intermediate.

When was Reinforced AI people detection using RGB-D cameras published?

The source page lists 2022-04-18.

Reinforced AI people detection using RGB-D cameras
Hackster.io All from this source License per the original page vision

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

Reinforced AI people detection using RGB-D cameras

Published 2022-04-18

RGB with Depth sensor cameras can be used to enhance overlapped people detection wrt other AI methods using only video information

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
intermediate

Related resources and purchase links

Statistics

respects
0
views
197

Project Info

Source PlatformHackster.io
Categoryvision
LicenseLicense per the original page
Views197
Likes0
Discussions0

Author Info

alfredo.gardel
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Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
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