FULLFACT Inc. has released a free practical guide (white paper) titled 'Designing Image Inspection AI for Real-World Manufacturing Use.' This guide helps manufacturers avoid being misled by catalog claims of '99% accuracy' and instead implement AI that actually works on their own inspection lines. Background: Labor Shortage in Inspection Becomes a Production Bottleneck Many manufacturing sites face production constraints due to a shortage of personnel for quality inspection. While image inspection AI is seen as a solution, relying solely on a claimed '99% accuracy' often leads to failure when applied to actual in-house inspection tasks. Real-world accuracy depends on the type of inspection, camera and lighting setup, and how consensus is established with human inspectors. What You'll Learn from This Guide - How labor shortages in inspection become a ceiling on production capacity - The four types of inspection (appearance, dimension, foreign objects, assembly) and their respective AI implementation difficulty - Criteria to distinguish what is feasible, unfeasible, or conditionally possible - Standard design of cameras, lighting, and layout adapted to physical constraints in factories - Who collects initial data and how (data collection and annotation) - Establishing agreement with inspectors on role transitions and responsibility for false positives - A phased implementation approach with predefined exit criteria How to Access the Guide Download the guide for free at the following URL: https://fullfact.net/whitepapers/ai-mfg-quality-inspection [For 10 Companies Only] Free Advisory Program for 3 Months FULLFACT is offering a free 3-month advisory program limited to 10 companies. Practitioners with expertise in search engine optimization (SEO) and AI-powered search (LLMO) will provide ongoing support via chat and one monthly online consultation (approx. 60 minutes), directly guiding customer acquisition strategies. This is normally a paid consulting service, but will