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Computer Vision

Machine Vision Inspection Systems by YAFE

End-to-end machine vision inspection systems engineered for modern manufacturing. Our AI visual inspection platform helps you automate visual inspection, reduce manual inspection cost, and eliminate false rejects across automotive, tyre, casting, plastics, forging, fabric, and assembly industries.

DOT code AI inspection system — real Apollo Tyres production deployment screenshot showing AI reading tyre codes
Live Deployment — Apollo Tyres
99.2% Accuracy

Transforming Manufacturing Quality with AI

Our automated optical inspection solutions are deployed across multiple industries, delivering measurable improvements from day one. Computer vision defect detection replaces slow, inconsistent manual checks with fast, reliable AI that never gets tired.

Whether you need to reduce false rejects, automate visual inspection on a high-speed line, or cut manual inspection cost across multiple shifts, YAFE has a proven deployment model that fits your environment.

  • Higher detection accuracy with AI visual inspection
  • Lower false rejects compared to manual inspection
  • Automated traceability across every production run
  • Integration with MES, SAP, and PLC systems
  • Significant reduction in manual inspection cost
AI quality inspection system — real deployment screenshot showing DOT code detection on tyre production line

Five Core Inspection Capabilities

Comprehensive AI-powered inspection covering every aspect of product quality and compliance.

Surface Defect Detection

AI models identify cracks, dents, voids, scruff marks, bubbles, color variations, and micro-defects that human eyes often miss.

Assembly Verification

Checks presence/absence of components, alignment, torque markings, fasteners, labels, and safety-critical elements.

Text & Symbol Verification

Ensures accuracy of engraved, embossed, ink-printed, laser-marked, or molded characters — including serial numbers, batch codes, and process identifiers.

Mould, Pattern & Dimensional Inspection

Verifies mould elements, compares products against design data, and ensures correct cavity or pattern usage.

Packaging & Label Verification

Validates barcodes, expiration dates, batch numbers, brand assets, and label placement.

Frequently Asked Questions

Everything you need to know about YAFE machine vision inspection systems.

What is a machine vision inspection system?

A machine vision inspection system uses cameras, lighting, and AI software to automatically inspect products on a production line. YAFE machine vision systems capture images of every part, run them through trained AI models, and flag defects or non-conformances in real time. This lets manufacturers automate visual inspection without relying on human eyes for every check.

How accurate is YAFE AI visual inspection?

YAFE achieves 99.2% detection accuracy across all defect types. Our systems are trained on thousands of real production images and continuously improve with deployment data. We guarantee zero missed critical defects while maintaining low false reject rates, which directly reduces manual inspection cost and rework.

What types of defects can automated optical inspection detect?

Our automated optical inspection detects surface defects (cracks, dents, voids, scratches), assembly errors (missing components, misalignment), text verification (serial numbers, batch codes), dimensional errors, and packaging issues. Computer vision defect detection is customizable for your specific product and defect types.

How long does implementation take?

Typical implementation takes 60 days from project kickoff to live production deployment. This includes system design, AI model training on your products, hardware installation, integration with your production line, and operator training.

Can it integrate with existing production systems?

Yes. YAFE integrates seamlessly with MES, SAP, ERP, PLC systems, and conveyor controls. We support standard industrial protocols (Ethernet, Modbus, OPC-UA) and can connect to any production line architecture.

What is the ROI timeline?

Most clients see positive ROI within 6 to 12 months through reduced rework, lower scrap rates, and decreased manual inspection labor. Apollo Tyres achieved 15,000 tyres per day inspection with zero errors, eliminating the need for manual verification and significantly reducing false rejects.

Ready to Automate Your Quality Inspection?

Talk to our engineers about a machine vision inspection system for your production line.

Book a Demo