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Autana Business Partners
ES

Computer Vision

Computer Vision

Intelligent eyes for your industrial, retail and security processes

Computer vision models that detect defects in production lines, recognize products in retail, analyze in-store behavior and digitize documents with advanced OCR.

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Overview

Computer Vision

Computer vision converts ordinary cameras into intelligent sensors. Our models are trained with your specific data — your product defects, your store layout, your company documents — and deployed on edge devices, cloud or hybrid depending on your latency and privacy needs.

Included capabilities

  • Defect detection in industrial production lines (< 100 ms)
  • Product recognition and planogram verification in retail
  • Customer footfall and in-store behavior analysis
  • Advanced OCR for document, invoice and form digitization
  • Identity verification and visual KYC (liveness detection)
  • Equipment and facility monitoring with automatic alerts
  • Automatic people and vehicle counting
  • PPE detection and occupational safety compliance

Return on investment

Measurable results from the first cycle

  • −95%

    Defect reduction

  • 1,200/h

    Inspection speed

  • < 100ms

    Detection latency

  • −70%

    Inspection savings

Time to first result
6–10 weeks to production model with your data
Estimated investment
From €8,000 implementation + hardware if applicable

Use cases

Real applications by sector

Each case starts from a concrete operational pain and delivers a measurable result.

  • Front of a blue car in a row of vehiclesIndustry

    Automatic In-Line Quality Control

    Problem: Manual product inspection with 2–3% undetected defects and high inspector turnover

    Solution: Vision model that inspects 1,200 parts/hour with 99.2% accuracy in < 100 ms

    • −95% undetected defects
    • 1,200 pieces/hour
    • < 100 ms latency
  • Supermarket aisle with shelves of productsRetail

    Automatic Planogram Verification

    Problem: Manual shelf audits taking 2 hours per store and done only monthly

    Solution: Mobile app with vision that audits a full shelf in 30 seconds with automatic report

    • 30 s per audit
    • −80% audit time
    • +12% planogram compliance
  • Hand holding a payment card over a laptopBanking & Insurance

    Visual KYC and Identity Verification

    Problem: Slow manual onboarding process with high document fraud risk

    Solution: Liveness detection + ID/passport OCR system that completes KYC in < 60 s

    • < 60 s per verification
    • −90% document fraud
    • AML/KYC compliance

Tech stack

Tools and technologies

  • YOLOv8 / RT-DETR

    Real-time object detection

  • OpenCV

    Image processing

  • TensorFlow / PyTorch

    Model training

  • NVIDIA Triton

    Production inference

  • AWS Rekognition

    Cloud vision

  • Edge devices (Jetson)

    Edge inference

Ready to implement Computer Vision?

We start with a free evaluation of your case. In 30 minutes we know if it makes sense and what the first step would be.

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