<script type="application/ld+json"> { "@context": "https://schema.org", "@graph": [ { "@type": "Service", "name": "AI quality control", "serviceType": "AI vision quality control for industry", "description": "Automatic real-time defect detection on your production lines: industrial cameras, vision models trained on your defects, MES/ERP integration, sovereign hosting. For industrial SMEs and mid-caps.", "url": "https://strat-ia.fr/en/industrie/controle-qualite-ia", "inLanguage": "en", "areaServed": { "@type": "Country", "name": "France" }, "provider": { "@type": "Organization", "name": "StratIA", "legalName": "STRATIA CONSEIL SAS", "url": "https://strat-ia.fr", "address": { "@type": "PostalAddress", "streetAddress": "8 place Roger Salengro", "postalCode": "31000", "addressLocality": "Toulouse", "addressCountry": "FR" } } }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://strat-ia.fr/en/" }, { "@type": "ListItem", "position": 2, "name": "Industry", "item": "https://strat-ia.fr/en/industrie" }, { "@type": "ListItem", "position": 3, "name": "AI quality control", "item": "https://strat-ia.fr/en/industrie/controle-qualite-ia" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What types of defects can vision AI detect?", "acceptedAnswer": { "@type": "Answer", "text": "Surface defects (scratches, cracks, inclusions, stains), dimensional deviations, assembly or appearance defects. If an experienced inspector can see it in an image, a vision model can learn to detect it — including rare defects, added through progressive model enrichment." } }, { "@type": "Question", "name": "Can AI keep up with our line speed?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Inference runs at the edge, in a few tens of milliseconds per part. The system is sized from the scoping stage based on your actual cycle time — inspection never becomes the bottleneck." } }, { "@type": "Question", "name": "How many images are needed to train the model?", "acceptedAnswer": { "@type": "Answer", "text": "A few hundred images of conforming and non-conforming parts are enough for a first model, annotated with your inspectors. The model then keeps improving with the cases encountered in production." } }, { "@type": "Question", "name": "Do we need to modify or stop the line to install it?", "acceptedAnswer": { "@type": "Answer", "text": "No. Cameras and lighting are installed at the edge of the line, with no process modification and no extended downtime. The solution integrates with your existing environment (MES, ERP, supervision) without replacing it." } }, { "@type": "Question", "name": "What budget and timeline for AI quality control?", "acceptedAnswer": { "@type": "Answer", "text": "An AI Flash Audit (€2,000 excl. VAT, 1 day) frames the priority inspection station. A tailor-made development ranges from €15,000 to €80,000 excl. VAT depending on scope, with a first station live in 2 to 3 months and ROI quantified from the scoping stage." } }, { "@type": "Question", "name": "What happens to our quality inspectors?", "acceptedAnswer": { "@type": "Answer", "text": "They are not replaced: AI absorbs the repetitive sorting, and your inspectors refocus on root-cause analysis, ambiguous cases and quality management. Their decisions become traceable and consistent across shifts." } } ] } ] } </script>
Sampling-based inspection lets defects through; visual sorting is tiring and inconsistent. Vision AI inspects 100% of your parts directly on the line, flags every deviation as it happens and links defects to their process causes.
In most plants, quality control still relies on sampling and the operator's eye. The result: defects caught too late, entire batches under suspicion and costly customer disputes.
Sampling-based inspection only sees a fraction of parts: the defects that slip through are discovered at the customer's site, at the worst possible moment.
A defect caught at the end of the line makes all production since then suspect: sorting, rework, scrap — and hours lost.
Human visual inspection is subjective and tiring: severity varies with the operator, the hour and the pace, and inspectors are hard to recruit.
Automotive, aerospace, medical: your customers demand part-by-part traceability that manual inspection cannot document.
Every part is inspected on the line, at real production speed. Sampling and its blind spots disappear.
The defect is flagged as soon as it appears: the drift is corrected before a whole non-conforming batch is produced.
Less non-quality shipped, fewer customer returns, and part-by-part traceability you can stand on in audits.
Your inspectors move from repetitive sorting to root-cause analysis and quality management.
Your data stays in France, hosted with OVH or Scaleway, or even on-premise. Sovereign models (Mistral) where relevant. GDPR and AI Act compliance handled by design.
A French team dedicated to your project. Short cycles, weekly demos, continuous user validation. No offshore, no black box.
ROI is quantified from the scoping stage, the scope is clear, go/no-go decisions are transparent. You know what you pay and what you gain before you start.


















01
Des équipes prêtes pour l'IA
1 à 2 jours
02
Vos cas d'usage priorisés
1 jour
03
La preuve par un premier gain
2 à 6 semaines
04
Du brief au produit en production
2 semaines à 3 mois
01
Pour qui : vos équipes doivent d'abord comprendre ce que l'IA change dans leur métier, avant tout projet ou en parallèle.
En 1 à 2 jours, sur site ou à distance, on forme vos équipes de direction, de production ou vos fonctions support : fondamentaux de l'IA, usages concrets observés dans votre secteur, prise en main d'outils. Aucun prérequis technique. Vos équipes repartent avec des réflexes applicables dès la semaine suivante.
Tarif : certifié Qualiopi, finançable par votre OPCO, souvent intégralement.
J'ai un projet de formation
02
Pour qui : vous savez que l'IA est un sujet, vous ne savez pas par où commencer, ou vous avez une idée précise mais personne pour l'exécuter proprement.
En 1 jour, nos experts analysent votre organisation et vos processus pour identifier les cas d'usage IA les plus pertinents et les plus rapides à déployer. Vous repartez avec une roadmap priorisée et des fiches opérationnelles par cas d'usage.
Tarif : 2 000 € HT (déductible si vous lancez un projet avec nous).
03
Pour qui : vous avez un irritant précis et vous voulez une preuve avant d'investir plus. Lecture de documents, chiffrage, contrôle qualité, tri, reporting.
En 2 à 6 semaines, on livre une solution en production sur un périmètre resserré, branchée sur vos outils existants (ERP, MES, GMAO). Vous mesurez le gain réel, heures gagnées, erreurs évitées, marge protégée, avant de décider de la suite.
Tarif : à partir de 6 000 € HT (l'Audit Flash déjà réalisé est déductible).
04
Pour qui : vous savez déjà ce que vous voulez. Cas d'usage identifié, périmètre clair, ROI cadré. Vous avez besoin d'une équipe technique sérieuse pour passer de l'idée au produit en production.
En 2 semaines à 3 mois selon le périmètre, notre équipe française conçoit et déploie votre solution : agent IA, plateforme métier, système de vision, RAG, automatisation. Cycles courts, démos hebdomadaires, validation utilisateurs continue. Mise en production directe.
Tarif : entre 15 000 € et 80 000 € HT selon la complexité, devis ferme après cadrage.
Discuter de mon projet
Comment l'IA résout ce problème
Industrial cameras are installed on your existing line; a vision model, trained on your parts and your real defects, inspects every product as it passes. Each detection is traced, classified by defect type and linked to machine parameters — to correct the process, not just sort the parts.
Les briques techniques
Area-scan or line-scan cameras and lighting matched to the part and the pace. Vision model (deep learning) trained on your defects, edge inference to keep up with cycle time. Operator interface for sorting and annotation review. MES/ERP integration for traceability. Sovereign or on-premise hosting.
Les données mobilisées
Images of conforming and non-conforming parts — a few hundred are enough for a first model, annotated with your inspectors. Your quality history (inspection reports, scrap rates, claims) to target critical defects. Machine parameters if the process-correction loop is in scope.