SkyMes AI Vision
Automated Defect Detection with Computer Vision
In modern factories, visual defects like scratches, spots, missing parts, deformations and foreign particles are a leading cause of cost, rework, and customer dissatisfaction.
With SkyMes’ new Computer Vision Defect & Anomaly Detection module, our QCMS suite can now automatically analyze product images, flag irregularities, and feed them into your traceability and non-conformity workflows, all in real time.
This is not just a “vision add-on”: it's deeply integrated with SkyMes’ MES, QCMS, traceability, and alerting systems. Whether during production, post-assembly, or prior to packing, this feature brings AI into your quality loop.
How it works (at a glance)
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High-resolution cameras (or vision hardware) capture product images from preconfigured angles and lighting.
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The system corrects for lighting variation, aligns, filters noise, and normalizes inputs.
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A trained deep learning model compares each image to the “ideal” baseline and identifies deviations
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Detected anomalies are classified (scratch, stain, crack, missing piece, etc.) and given severity or confidence scores
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Only anomalies above configured thresholds are flagged, reducing false positives
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Flagged items generate non-conformity records, link to traceability (serial numbers, batch), alert operators, and log data for analysis
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User validation (accept / reject) is fed back into the system to improve detection accuracy over time
Benefits?
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Reduce scrap & rework costs by catching defects early
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Prevent defective items from shipping to customers
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Free human inspectors to handle exceptions. focus human effort where it matters
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Consistent inspection no fatigue or variability
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Better data for quality improvement, detect recurring defect patterns, root causes
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Seamless integration with MES & traceability workflows
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Scalable & repeatable across product lines
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Lower cost per inspected unit as volume scales
FAQ
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Scratch, stain, crack, missing parts, foreign particles, surface deformation, discoloration, misalignment, custom setups are also possible
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Yes, “good” baseline images and representative defective samples help train and tune the model. Our team assists with that.
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Controlled lighting is important. We provide guidelines and calibration tools. In tricky cases, specialized lighting (e.g. coaxial, dark-field) or filters can help.
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Yes, with adequate hardware, detection is near real-time. In other cases, batch mode is supported.
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Yes, via APIs / SDKs / webhooks. The module works inside SkyMes’ integrated ecosystem.
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User validation (accept/reject flagged defects) feeds back into retraining. Also periodic re-calibration and model versioning are supported.
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Vision system include health monitoring, fallback inspections, and alerts when camera/lens issues occur.
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In principle yes, but some products (very glossy, transparent, extremely fine textures) may present challenges. We’ll evaluate feasibility in your context.