Every product inspected, every defect rejected

The thingtrax quality agent inspects every item in real time – detecting defects, rejecting faulty products, and ensuring consistent standards across every shift.

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Why manual inspection lets defects slip through

Sampling and human checks miss too much

Only a fraction of products are inspected manually

Defects escape detection – leading to waste, rework and recalls

Inconsistent QA across shifts damages brand reputation

thingtrax rejects defects in real time

Our quality agent uses vision AI to inspect every product – not just samples. It detects defects in real time, triggers automatic rejection, and ensures consistent quality across all lines and shifts. 

Features that deliver measurable impact

Real-time defect detection

Every product inspected automatically

Autonomous rejection

Faulty items removed instantly with integrated robots

Consistent QA

Eliminates variability across shifts

No physical line changes

Works with your existing line and hardware

Reduced waste and rework

Fewer defects downstream

Fast ROI

Up to 25% reduction in defect-related waste

Why thingtrax is the best solution 

Traditional Inline Quality Systems
thingtrax Vision AI Inline Quality Inspection
Installation Effort
Traditional Inline Quality Systems :
Requires multiple cameras, lighting enclosures, and mechanical alignment
thingtrax Vision AI Inline Quality Inspection :
Simple camera mounting – works with existing line layout
Technology Used
Traditional Inline Quality Systems :
Rule-based vision algorithms configured per SKU
thingtrax Vision AI Inline Quality Inspection :
AI-based defect recognition trained on real production images
Inspection Capability
Traditional Inline Quality Systems :
Checks limited features such as size, fill level, or colour threshold
thingtrax Vision AI Inline Quality Inspection :
Detects subtle surface defects, shape variations, cracks, and contamination
Defect Detection Accuracy
Traditional Inline Quality Systems :
High false rejects due to fixed thresholds and lighting sensitivity
thingtrax Vision AI Inline Quality Inspection :
High accuracy using deep learning models that adapt to variation
Adaptability to Product Variation
Traditional Inline Quality Systems :
Low – new product shapes or textures require manual reconfiguration
thingtrax Vision AI Inline Quality Inspection :
AI automatically learns new product shapes and textures
Changeover Between SKUs
Traditional Inline Quality Systems :
Requires engineer to recalibrate for every product changeover
thingtrax Vision AI Inline Quality Inspection :
New SKU models trained remotely and deployed within hours
Lighting & Angle Sensitivity
Traditional Inline Quality Systems :
Very sensitive to lighting and product orientation
thingtrax Vision AI Inline Quality Inspection :
Works reliably under variable lighting and product orientation
Deployment Time
Traditional Inline Quality Systems :
Several weeks for installation and calibration
thingtrax Vision AI Inline Quality Inspection :
Operational within days – no major line change required
Maintenance & Support
Traditional Inline Quality Systems :
On-site engineer needed for ongoing adjustments
thingtrax Vision AI Inline Quality Inspection :
Remote monitoring and model updates – no site visit required
Data & Reporting
Traditional Inline Quality Systems :
Local display only, minimal trend or analytics data
thingtrax Vision AI Inline Quality Inspection :
Full cloud analytics with reject trends, root cause and performance insights
Operator Dependency
Traditional Inline Quality Systems :
Operator must monitor screens and verify rejects manually
thingtrax Vision AI Inline Quality Inspection :
Fully automated – alerts and reports sent digitally
Scalability Across Lines
Traditional Inline Quality Systems :
Each line needs its own dedicated hardware and setup
thingtrax Vision AI Inline Quality Inspection :
Easily replicated across multiple sites and production lines
Integration with Production Systems
Traditional Inline Quality Systems :
Usually connected only to PLC for reject signal
thingtrax Vision AI Inline Quality Inspection :
Integrates with MES/PLC for line stop, alarms, and action triggers
Cost
Traditional Inline Quality Systems :
High hardware and integration cost per line
thingtrax Vision AI Inline Quality Inspection :
Low-cost AI hardware and flexible software model

Proven results from the factory floor

A large meat processing facility deployed Vision AI Quality inspection to analyse 100% of output in real time, gaining precise control of fat content, improving yield, and introducing objective grading that reduced over-trimming and enabled smarter product allocation and data-led supplier performance management. 

Simple implementation. Fast ROI.

checklist-icon Position the camera and compute
checklist-icon Configure and test the AI agent
checklist-icon Integrate rejection mechanisms (optional)
checklist-icon Go live and realise value in weeks

Ready to automate quality control?

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