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Quick answer

LidWatch - Computer Vision To Classify Eye State is an open source machine vision project from Hackster.io, indexed by ZouIC. In various contexts such as photography and driver drowsiness, it is import to be able to distinguish when eyes are open or closed.

Source
Hackster.io
Focus
machine vision
Author
Sri
Published
2024-07-31

Common questions

What does LidWatch - Computer Vision To Classify Eye State do?

In various contexts such as photography and driver drowsiness, it is import to be able to distinguish when eyes are open or closed.

Where does LidWatch - Computer Vision To Classify Eye State come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/sri39/lidwatch-computer-vision-to-classify-eye-state-b43327.

What stack does LidWatch - Computer Vision To Classify Eye State use?

tags AMD Xilinx, tutorial, intermediate.

When was LidWatch - Computer Vision To Classify Eye State published?

The source page lists 2024-07-31.

LidWatch - Computer Vision To Classify Eye State
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.

LidWatch - Computer Vision To Classify Eye State

Published 2024-07-31

In various contexts such as photography and driver drowsiness, it is import to be able to distinguish when eyes are open or closed.

Technical Specifications

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

Related resources and purchase links

Statistics

respects
1
views
152

Project Info

Source PlatformHackster.io
Categoryvision
LicenseLicense per the original page
Views152
Likes1
Discussions0

Author Info

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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