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AI-Powered Visual Inspection

Inspect Any Surface.
Catch Any Defect.

The industrial AI vision platform for manufacturing. Detect, classify and locate defects in real time, from discrete parts to continuous web and surface inspection.

See proven results before you commit.

What Makes Us Different

The Tupl AI Vision Platform

Tupl AI Vision adds an intelligent software layer to your existing inspection infrastructure.

Instead of replacing cameras, production equipment or industrial systems, the platform integrates with what is already in place, making AI Vision easier to deploy, operate and scale across continuous surface inspection processes.

This approach allows manufacturers to achieve measurable results quickly while minimizing risk, disruption and implementation effort.

Four key principles behind our AI Vision deployment strategy

  1. Results First
    Our platform proves results before you invest
  2. No-Risk Deployment
    Adopt AI without disrupting operations
  3. Seamless Integration
    Work with the infrastructure you already have
  4. AI Vision Simplification
    Powerful AI vision without the complexity
Complete Solution

AI Vision End-to-End

Tupl AI Vision is delivered as a complete solution. Every deployment includes Tupl's AI software, production-grade hardware, and the on-site integration needed to make AI Vision work from day one — thanks to our partnership with Agfra, a seasoned industrial system integrator.

Learn more about Agfra
INSPECTION LIGHT AI VISION AI VISION SENSOR
Our Validation Model

Validate without disruption

Validate AI Vision results on your production line before you commit.

Unlike most computer vision vendors, Tupl lets you prove the value first. You only invest once the results are validated on your own production line.

→ → Feasibility Study Technical validation Proof of Value (PoV) Prove results before scaling Pilot Demonstrator Full Deployment
↓ ↓ Feasibility Study Technical validation Proof of Value (PoV) Prove results before scaling Pilot Demonstrator Full Deployment
Use Cases

AI Vision for the Plastics Industry

Proven Computer Vision applications across plastic manufacturing processes.

100% Inspection. Zero Surprises

Real-Time AI Quality Control for Film Production

Key benefits

Real-time microdefect detection at full extrusion speed with precise defect localization for traceability and repair.

  • Early contamination detection to avoid waste
  • Defect localization to minimize scrap
  • Full traceability for compliance
  • Reduce downtime and stops
Who We Serve

Built for the full value chain

AI Vision applied to manufacturing
01
Manufacturers
Tupl AI Vision helps manufacturers automate manual inspection, reduce defect rates, and meet rising quality demands — with more accurate detection and consistent performance across every production line.
AI Vision applied to system integrators
02
System Integrators
A flexible, hardware-agnostic platform that handles complex use cases without requiring deep vision expertise. Pilot-first, no vendor lock-in — so SIs can deploy AI inspection faster and with less risk.
AI Vision applied to OEM manufacturers
03
OEM Manufacturers
Built to be embedded. Integrate Tupl AI Vision directly into your inspection systems or hardware offerings and deliver AI-powered visual inspection as a native capability. Scalable licensing. No vendor lock-in.
Use Cases by Industry

AI Vision across every sector

From AgriFood to Automotive and beyond — AI Vision delivers measurable quality control results across the full manufacturing spectrum. The Plastics industry has its own dedicated section above.

AI-powered canned food inspection detecting fill level and lid positioning defects on a production line
Use Case 01
AI‑Powered Canned Food Inspection: Up to 98% Real‑Time Error Detection
Insufficient visibility and control along the production line result in frequent deviations in fill levels and lid positioning.
Real-time error detection & correction End-to-end process traceability Improved efficiency without line changes
98%
Error
Detection
AI vision system increasing pepper inspection accuracy and throughput on an agrifood production line
Use Case 02
Increase Pepper Inspection Accuracy by 20% and Inspect 5× More with AI
Manual counting and grading are inefficient, expensive, and unreliable due to human error.
Accuracy from 75% to 90% 5× more samples analyzed Reduced processing time & costs
5×
Inspection
Throughput
AI vision cutting waste and increasing visual inspection productivity for electronic circuit boards
Use Case 01
Cut Waste by Up to 30% and Increase Visual Inspection Productivity by 25% in Electronic Boards
Limited accuracy and scalability in visual inspection result in quality defects, material waste, and incomplete traceability.
Automated soldering defect detection Up to 30% waste reduction 25% higher productivity & full traceability
30%
Waste
Reduction
AI Vision reducing verification errors and speeding up fastener pack inspection in automotive production
Use Case 01
Reduce Verification Errors by 90% and Increase Speed by 30% in Fastener Packs
Manual verification can't handle product variability, resulting in errors, rework, and slow SKU onboarding.
90% fewer packaging errors SKU onboarding in minutes 40% fewer reworks & returns
90%
Error
Reduction
Automated visual verification processes reducing rework and improving inspection accuracy for automotive parts
Use Case 02
Up to 35% Reduction in Rework and 90% Accuracy in Automated Verification Processes
The lack of an automated quality inspection system results in undetected defects.
35% less rework & rejects 90%+ inspection accuracy 20–25% productivity increase
35%
Rework
Reduction
AI-powered access control system providing real-time truck visibility and reducing operational load in logistics
Use Case 01
100% Real-Time Visibility with Up to 50% Reduction in Operational Load for Access Control Systems
Fragmented, manual truck management leads to poor visibility, registration errors, and high operational effort.
Real-time truck tracking (20+ cameras) 50% less manual work Full traceability & LPR
50%
Operational
Load Reduction
Get Started

Join the plastics manufacturers scaling AI vision globally

Get a demo
FAQ

AI Vision FAQ

Tupl AI Vision automates visual quality inspection in manufacturing, reducing scrap rates, improving defect detection accuracy, and providing full production traceability — all without disrupting existing workflows.
Yes. Tupl AI Vision is hardware-agnostic and integrates with your existing camera infrastructure, minimizing upfront investment and deployment complexity.
No. The platform is designed so that operations teams can deploy and manage AI inspection without specialized computer vision knowledge.
Absolutely. Tupl AI Vision is built for multi-line, multi-site deployments with scalable licensing and centralized management.
Our pilot-first approach lets you prove measurable ROI before committing to full deployment. No vendor lock-in, no production disruption, and a structured path from pilot to scale.