---
title: "Hygio Blog"
description: "Facility hygiene operations — evidence, scores, and AI inspection."
lastModified: "2026-08-19"
---

# Hygio Blog

- [Setting Confidence Thresholds for AI Hygiene Scores](https://hygio.app/en/blog/setting-confidence-thresholds-for-ai-hygiene-scores/) — Discusses why confidence thresholds should reflect area type, operational risk, and business purpose rather than use one universal setting.
- [False Positives and False Negatives in AI Hygiene Models](https://hygio.app/en/blog/false-positives-and-false-negatives-in-ai-hygiene-models/) — Explains the impact of classifying a clean area as dirty or a dirty area as clean, and how these errors should be monitored.
- [How Visual AI Recognizes Disorder in Shared Spaces](https://hygio.app/en/blog/how-visual-ai-recognizes-disorder-in-shared-spaces/) — Looks at how clutter, misplaced items, and non-standard area appearance can be evaluated through computer vision.
- [Using AI to Spot Consumable Supply Shortages](https://hygio.app/en/blog/using-ai-to-spot-consumable-supply-shortages/) — Examines how visible shortages of soap, paper towels, or toilet paper can be detected and converted into actionable tasks.
- [Detecting Wet Floors and Liquid Accumulation with Visual AI](https://hygio.app/en/blog/detecting-wet-floors-and-liquid-accumulation-with-visual-ai/) — Explores the operational value of flagging visible liquid accumulation that may indicate both cleaning and safety concerns.
- [How AI Learns to Detect Visible Stains](https://hygio.app/en/blog/how-ai-learns-to-detect-visible-stains/) — Introduces labeled datasets, data diversity, and model training as the foundation of reliable visible cleanliness detection.
- [How Occlusion Affects AI Hygiene Inspection](https://hygio.app/en/blog/how-occlusion-affects-ai-hygiene-inspection/) — Explains how buckets, doors, equipment, or people can hide key surfaces and reduce the reliability of image-based assessment.
- [AI Cleaning Analysis in Low-Light Environments](https://hygio.app/en/blog/ai-cleaning-analysis-in-low-light-environments/) — Looks at how poor lighting can affect visual inspection performance and what operational practices can improve image consistency.
- [Why Photo Quality Is Critical in AI Hygiene Audits](https://hygio.app/en/blog/why-photo-quality-is-critical-in-ai-hygiene-audits/) — Explains how angle, lighting, distance, and framing influence model results and why standardized capture guidance matters.
- [AI Hygiene Inspection with a Smartphone Camera](https://hygio.app/en/blog/ai-hygiene-inspection-with-a-smartphone-camera/) — Shows how ordinary mobile cameras can enable field teams to perform AI-assisted inspections without specialized imaging hardware.