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Closing the gap in modern manufacturing inspection.
Modern manufacturing depends on flawless surfaces — yet today's inspection technologies still miss many of the defects that matter most. Traditional machine vision systems, even those using basic multispectral or hyperspectral imaging, struggle with reflective metals, coated surfaces, complex geometries, and subtle, low-contrast flaws. These blind spots lead to scrap, rework, and reliability issues that cost industry billions every year.
Our technology closes that gap.
We have built a new class of inspection system based on multimodal imaging — now engineered into a robust industrial platform. Each imaging mode reveals different physical properties of a surface, from micro-geometry to material-specific light interactions, creating a far richer dataset than any conventional industrial camera can provide.
Physics-Rich Capture
Multiple imaging dimensions reveal material properties invisible to standard cameras
Proprietary Processing
Advanced algorithms extract defect signatures traditional approaches cannot detect
Multidimensional Fusion
Information integration amplifies subtle cues and isolates hidden defects
Our system tightly integrates this physics-rich capture with proprietary image processing algorithms designed to extract defect signatures that traditional approaches cannot detect. By fusing information across multiple imaging dimensions, the system amplifies subtle cues and isolates defects that would otherwise remain invisible — from microscopic scratches on polished metal to coating inconsistencies, embedded contaminants, and early-stage fatigue patterns.
The PRoblem
The cost of invisible defects: Industry facts
Across global manufacturing sectors, inspection failures create massive economic losses and safety risks. Traditional inspection methods simply cannot keep pace with modern quality demands.
30%
Automotive Warranty Costs
Up to 30% of all automotive warranty costs are attributable to failures detected by final inspection — failures that originated earlier in the supply chain with escaped defects
70%
Human Inspection Effectiveness
In complex assembly operations, human visual inspection is only 70-85% effective, meaning 15-30% of defects escape to the next stage
25%
Fabric Flaw Detection
In fast fashion supply chains, manual inspection can miss up to 25% of fabric flaws like micro-tears and dye inconsistencies, leading to massive customer return rates
40%
Food Recalls
Over 40% of food recalls are due to undetected foreign material contamination that passed through existing inspection lines
30%
Online Returns
Online returns due to "item not as described" or "poor quality" can exceed 30% for apparel, with defects being a primary driver
The food industry alone incurs over £10 billion in annual losses due to false positives and unnecessary scrap from unreliable inspection systems. Up to 30% of all food produced is lost or wasted, with a significant portion occurring at the manufacturing and processing level due to quality failures.
Our solution
The MM+ system Architecture
The MM+ platform combines cutting-edge hardware engineering with proprietary AI to deliver inspection capabilities that were previously impossible. Our two-pillar approach creates a system that is both powerful and adaptable.
Modular Hardware Architecture
A single, sophisticated multimodal imaging unit with adjustable wavelengths and light forms enables rapid adaptation across industries
Proprietary AI Brain
Cloud-connected software leveraging powerful, proprietary image processing algorithms that continuously learn and improve
Rapid cross-industry deployment
The same core hardware identifies metal porosity in automotive castings at 750nm wavelength and detects organic contaminants in food production at 390nm. This flexibility reduces deployment time from months to under two weeks.
Our modular approach means you invest once in hardware that adapts to multiple applications. As your needs evolve, the system evolves with you — no costly replacements, no lengthy reconfiguration periods.
Continuous Intelligence Enhancement
The AI engine processes inspection data across all deployed systems, learning from every defect detected globally. This means your system becomes more accurate over time, automatically incorporating insights from the entire Lumysis network.
case study
Conventional Inspection vs. MM+
Demonstrating the superior capability of our multimodal technology
The difference between conventional inspection and MM+ technology is immediately visible. Where traditional systems see uniform surfaces, MM+ reveals the hidden truth of material defects through multidimensional analysis.
Conventional Inspection
Standard monochrome or RGB cameras capture only surface-level appearance. Defects with low contrast, subtle geometry changes, or subsurface characteristics remain invisible.
These conventional image of a metal casting show what typical inspection systems see, mooth, apparently defect-free surfaces that would pass quality control.
MM+ Multimodal Imaging
Multiple wavelengths, polarisation states, and illumination angles combine to reveal defects conventional systems cannot detect. Material properties become visible signatures.
The same metal casting under MM+ inspection reveal critical defects, scratches, inclusions, coating variations — that were completely invisible to conventional cameras.
The Evidence is Clear: MM+ technology detects defects that conventional inspection systems categorically miss. This isn't incremental improvement — it's a fundamental leap in inspection capability.
Case Study
Solving Critical Quality Control for Global Apparel Brands
How Lumysis MM+ Addresses Primark's Inspection Challenges
Global apparel brands like Primark process immense fabric volumes, making conventional inspection inadequate for detecting subtle flaws like pinholes and micro-tears. These missed defects result in costly returns, damaged brand reputation, and significant material waste.
Lumysis MM+ technology provides a solution by revealing these hidden defects with unprecedented clarity and precision. Below, we compare how different inspection methods perceive the same fabric samples:
Results
Implementing Lumysis MM+ has delivered dramatic improvements for our apparel partners:
Detection Rate Improvement: From approximately 75% with manual or conventional systems to over 98% with MM+.
Reduced Customer Returns: A significant decrease in returns due to fabric quality issues, directly impacting profitability.
Decreased False Positives: Minimising the rejection of perfectly good fabric, leading to reduced waste and improved material utilization.
Rapid Deployment: Integration into existing production lines typically takes under 2 weeks, ensuring quick time-to-value.
The business impact is undeniable: Preventing millions in returns and protecting hard-earned brand reputations, Lumysis MM+ ensures only the highest quality fabrics reach consumers.