Operations made simple with AI

Logo Tupl
Contact us
AI-Powered Visual Inspection Platform

AI Vision — Reduce Scrap. Protect Margins. Run Smarter.

Prove results at no cost before deployment.

REQUEST YOUR FEASIBILITY STUDY
DOWNLOAD BROCHURE

Free validation without disruption

Validate AI Vision results on your production line before any investment.

1. Feasibility Study

Technical validation
Tupl Arrow

2. Proof of Value (PoV)

Real-world value testing
Tupl Arrow

3. Investment starts here

Pilot Demostrator → Full Deployment
What Makes Us Different

The Tupl AI Vision Platform

Four key principles behind our AI Vision deployment strategy

Tupl AI Vision is an industrial AI platform that automates visual inspection and scales quality control, built on four core deployment principles.

  • 1. Results First Mindset
  • 2. No-Risk Deployment Path
  • 3. Seamless Integration
  • 4. AI Vision Simplification

Here’s What You Can Unlock with Tupl AI Vision

Move Your Workforce to Higher-Value Work

Turn Scrap into Savings

Know Your ROI Before You Spend Your Budget

Protect Margins. Line by Line. In Real Time.

Plastics in Focus

AI Vision: Specialists in Continuous Surface Inspection

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
Defects-Injection

AI Vision for Injection-Moulding Defect Detection ​on plastic parts

Statistical Quality Control. Real-Time Process Insight.

Key benefits

Statistical quality control of continuous part production, triggering alerts when defect rates exceed defined thresholds and signaling potential process issues.

  • Reduced rework to preserve production capacity
  • Increased overall production yield
  • Scrap reduced by half
Our Approach

A No-Risk Path to Tupl AI Vision

Business-first approach

Every pilot follows a structured, ROI-driven path to scale, ensuring measurable impact before full deployment.

Minimal Disruption

Deploy AI vision without interrupting production not to impact your daily business.

Adapting to your operational reality

Configured to fit your budget, processes, and deployment constraints.
Who We Serve

Built for Industrial Decision Makers

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.

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.

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

AI Vision in Production Environments

Reduction of Scrap by Up to 40% in Real-Time Extrusion Blow Molding

Use Case - Reduction of Scrap

PROBLEM

In extrusion blow molding, small variations in temperature, pressure, or mold alignment can cause defects such as deformation, thickness variation, black spots, or irregular necks. Manual inspection or basic sensors fail to detect micro‑defects in time, leading to high scrap rates and reduced efficiency.

BENEFITS

  • 20%–40% scrap reduction through early defect detection.
  • 30% improvement in dimensional and wall‑thickness consistency.
  • 50% reduction in manual inspections and operational workload.
  • 100% visual traceability with automatic batch-level recording.

35% Improvement in Print Consistency for Flexography and Rotogravure​

Use Case - Print Consistency

PROBLEM

Printing on plastic bags experiences frequent variations in color, sharpness, and registration due to changes in film tension, roller wear, ink fluctuations, and shift-to-shift differences. This leads to batch inconsistency, impacts brand identity, and makes it harder to meet increasingly strict brand standards—especially in retail and food packaging.

BENEFITS

  • 35% improvement in color and registration consistency across batches.
  • 60% reduction in issues related to shift‑to‑shift and operator variability.
  • 50% higher accuracy in automatic detection of design or text misalignment.
  • 100% automatic verification against the customer‑approved master file.

Reduce Waste by Up to 40% with Automated Anomaly Detection in Heat‑Sealing Films​

Use Case - Heat Sealing Film

PROBLEM

Micro‑anomalies undetectable by human inspection and unclear acceptance criteria result in quality defects and higher scrap rates.

BENEFITS

  • Precise real‑time detection of insects, holes, and micro‑defects.
  • Automatic validation of critical vs. acceptable defects, with no human intervention.
  • Significant waste reduction and continuous improvement of final product quality.

99% Accuracy in Automated Visual Inspection of Acrylic Panels

Use Case - Acrylic panels

PROBLEM

Manual defect and stain inspection lacks speed, objectivity, and reliability.

BENEFITS

  • Automated detection of stains and defects based on size, count, and distribution, using customizable acceptance criteria.
  • Consistent and objective quality across the entire production run, without slowing down the line.
  • Full per‑panel traceability, simplifying audits and quality control.

Increase Pepper Inspection Accuracy by 20% and Inspect 5× More with AI

Use Case - Pepper Inspection

PROBLEM

Manual counting and grading are inefficient, expensive, and unreliable due to human error.

BENEFITS

  • Accuracy increased from 75% to 90% through AI‑based visual inspection.
  • 5× more samples analyzed in the same time, boosting operational efficiency.
  • Reduced processing time and costs, with higher product consistency and quality.

AI‑Powered Canned Food Inspection: Up to 98% Real‑Time Error Detection

Use Case - Canned Food Inspection

PROBLEM

Insufficient visibility and control along the production line result in frequent deviations in fill levels and lid positioning.

BENEFITS

  • Real-time error detection and correction, ensuring packages fully comply with quality standards.
  • End-to-end process traceability, reducing returns and rework.
  • Improved operational efficiency, increasing productivity without requiring major changes to the production line.

Cut Waste by Up to 30% and Increase Visual Inspection Productivity by 25% in Electronic Boards

Use Case - Electronic Board

PROBLEM

Limited accuracy and scalability in visual inspection result in quality defects, material waste, and incomplete traceability.

BENEFITS

  • Accurate, automated detection of soldering defects from the earliest inspection stage.
  • Up to 30% reduction in material waste through early identification of failures.
  • Up to 25% higher productivity, leveraging existing infrastructure and enabling full traceability.

Up to 35% Reduction in Rework and 90% Accuracy in Automated Verification Processes

Use Case - Automotive

PROBLEM

The lack of an automated quality inspection system results in undetected defects.

BENEFITS

  • Up to 35% reduction in rework and rejects by detecting defects before assembly.
  • Inspection accuracy above 90%, eliminating human variability.
  • 20–25% productivity increase by replacing manual inspections with automated processes.

Reduce Verification Errors by 90% and Increase Speed by 30% in Fastener Packs

PROBLEM

Manual verification can’t handle product variability, resulting in errors, rework, and slow SKU onboarding.

BENEFITS

  • More than 90% reduction in errors in fastener packaging.
  • New SKU onboarding in minutes, without manual labeling or production downtime.
  • Up to 40% fewer reworks and returns, with full ERP‑enabled traceability.

100% Real‑Time Visibility with Up to 50% Reduction in Operational Load for Access Control Systems

PROBLEM

Fragmented, manual truck management leads to poor visibility, registration errors, and high operational effort.

BENEFITS

  • Continuous real‑time tracking of each truck with a unique ID across more than 20 cameras.
  • Up to 50% reduction in manual work, eliminating paperwork and physical checks.
  • Full traceability and precise access control, enabled by license plate recognition (LPR) and zone‑based mapping.

Ready to Accelerate Quality with Tupl AI Vision?

Join manufacturing leaders scaling automated quality control globally with Tupl AI Vision.
START FOR FREE

FAQ Everything You Need to Know About Tupl AI Vision

It automates visual inspection, improves accuracy, and reduces errors that commonly occur with manual or rule‑based methods.

Yes. Tupl AI Vision follows a hardware‑agnostic, retrofit‑friendly approach that integrates with current camera setups.

No. Built‑in Agentic AI guides users through setup, training, and operation, reducing the need for specialized skills.

Yes. The platform supports scalable, software‑driven expansion across diverse industrial environments.

A pilot‑first model validates performance before full deployment, ensuring fast learning and low implementation risk.

In the spotlight

Scroll to Top

You’re just one step away from discovering how our solutions can transform your business. Fill out the form to schedule your personalized demo — quick, easy, and tailored to your needs.