<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Computer-Vision on Scholion</title><link>https://scholion.thluiz.com/tags/computer-vision/</link><description>Recent content in Computer-Vision on Scholion</description><generator>Hugo -- gohugo.io</generator><language>pt-BR</language><copyright>© 2026</copyright><lastBuildDate>Thu, 22 Oct 2026 02:56:08 +0100</lastBuildDate><atom:link href="https://scholion.thluiz.com/tags/computer-vision/index.xml" rel="self" type="application/rss+xml"/><item><title>Automating lights with Computer Vision &amp; NodeJS</title><link>https://scholion.thluiz.com/notes/automating-lights-with-computer-vision-nodejs/</link><pubDate>Mon, 02 Nov 2020 11:56:08 -0300</pubDate><guid>https://scholion.thluiz.com/notes/automating-lights-with-computer-vision-nodejs/</guid><description>The article proposes using office cameras, OpenCV, and Node.js to detect people in frame quadrants and switch off lights where no one is present, reducing wasted power.</description></item></channel></rss>