<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep-Learning-Defect-Classification on 生物经济</title><link>https://cn.bioecon.ru/technologies/deep-learning-defect-classification/</link><description>Recent content in Deep-Learning-Defect-Classification on 生物经济</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Mon, 27 Jul 2026 10:55:47 +0700</lastBuildDate><atom:link href="https://cn.bioecon.ru/technologies/deep-learning-defect-classification/index.xml" rel="self" type="application/rss+xml"/><item><title>自动视觉检测（灯检）</title><link>https://cn.bioecon.ru/technology/automated-visual-inspection/</link><pubDate>Sat, 25 Jul 2026 14:38:12 +0000</pubDate><guid>https://cn.bioecon.ru/technology/automated-visual-inspection/</guid><description>以产线速度逐支检查已灌装西林瓶、安瓿、预充针与卡式瓶的可见异物、装量偏差、玻璃外观缺陷与封口失效的独立机器视觉系统——一个建立在高分辨率相机、多角度照明并日益依赖深度学习缺陷分类之上的专用装备品类，受 EU GMP Annex 1 与 21 CFR Part 11 约束。</description></item></channel></rss>