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USE CASE · INDUSTRY

AI quality control: detect defects in real time

98% of surface defects detected in real production conditions

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.

L'enjeu

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.

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.

Diagram of AI quality control: capture, AI analysis, defect detection and parameter adjustment loop on a production line
Image de Yoan Hibert, fondateur de StratIAImage de Baptiste Wieczorek, fondateur de StratIA
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Bénéfices attendus

100% inspection

Every part is inspected on the line, at real production speed. Sampling and its blind spots disappear.

Immediate detection

The defect is flagged as soon as it appears: the drift is corrected before a whole non-conforming batch is produced.

Less scrap, fewer disputes

Less non-quality shipped, fewer customer returns, and part-by-part traceability you can stand on in audits.

Inspectors refocused

Your inspectors move from repetitive sorting to root-cause analysis and quality management.

Où ça s'applique

Why StratIA

Sovereignty

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.

French squad

A French team dedicated to your project. Short cycles, weekly demos, continuous user validation. No offshore, no black box.

Framed ROI

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.

Ils nous font confiance
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Logo Comité Olympique, client de StratIA
Logo Paymetrust, client de StratIA
Logo Union des Marchands de Biens, client de StratIA
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Logo Hello Prépa, client de StratIA
Logo Comité Olympique, client de StratIA

Expert insights

AI quality control is no longer a feasibility question: vision keeps up with a production line. The real work is training the model on your own defects and wiring detection back into process settings.

Yoan Hibert
Yoan Hibert Co-founder & Managing Director Profile
Baptiste Wieczorek
Baptiste Wieczorek Co-founder & CTO Profile
Image de Yoan Hibert, fondateur de StratIAImage de Baptiste Wieczorek, fondateur de StratIA
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Our method: from entry point to continuous use

based on your maturity level...

01

Formations IA

Des équipes prêtes pour l'IA

1 à 2 jours

02

Audit Flash IA

Vos cas d'usage priorisés

1 jour

03

Quick Win IA

La preuve par un premier gain

2 à 6 semaines

04

Développement sur mesure

Du brief au produit en production

2 semaines à 3 mois

01

Formation IA

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

Audit Flash IA

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).

Voir plus

03

Quick Win IA

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).

Voir plus

04

Développement sur mesure

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

One client case

Client case Metallurgy

Detecting defects at the rolling-mill exit, without slowing the line

A metallurgy SME of around a hundred employees in south-west France. Goal: make end-of-line inspection on a critical rolling line reliable while keeping the pace. Industrial cameras inspect every part as it passes; the vision model, trained on the site's own defects, links each drift to machine parameters (speed, temperature, shift). Six weeks to deploy, plugged into the existing setup — the MES stays in place.


98%of surface defects detected
−18%scrap
9 monthsto reach ROI

Estimated gains: between €200,000 and €400,000 in savings per year.

Discuss a similar project

Let's discuss your AI project

Image de Yoan Hibert, fondateur de StratIAImage de Baptiste Wieczorek, fondateur de StratIA
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To go further

Industry

Our AI approach across the whole industrial sector.

AI Flash Audit

Identify your priority use cases in 1 day.

AI Foundations Audit

Build your AI strategy in depth.

Tailor-made development

From scoping to the deployment of your solution.

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