Detect defects reliably. Find root causes faster. Optimize production. Our machine vision software combines AI-based quality control with real-time analytics and measurably reduces false scrap.
Leading companies are already using Maddox AI’s solution.
Traditional image processing software requires deep expertise because rules must be defined, inspection logic has to be programmed, and parameters must be constantly readjusted. The result: high maintenance effort and low agility—especially with changing production conditions and variants.
Traditional machine vision software fails with production variance (e.g., reflections, position, surfaces). As a result, false scrap and escape rates increase: good parts are discarded, bad parts slip through, and noticeable additional costs arise in quality control.
Many vision programs only automate visual inspection. They lack real-time analytics, heatmaps, and KPI/OEE transparency. Root causes remain hidden, optimization potential is unused, and sources of error are detected too late.
Maddox AI
With Maddox AI, you can train reliable AI models for various use cases on a centralized platform—completely without technical expertise. Your image processing specialist will never be a bottleneck again.
Our AI models can handle typical production variances and reliably distinguish between actual defects and other image variations (e.g., reflections). This helps you save on scrap and re-sorting costs.
Maddox AI provides real-time insights into your production and highlights optimization potential. This allows you to detect problems early and take targeted countermeasures to minimize rejects.
Depending on the use case, different machine-vision algorithms are used. Most commonly, surface inspection (segmentation models) is used to detect and localize defects reliably. For complex inspection tasks, methods are combined into a pipeline as needed. This creates robust quality control in industrial image processing.
Surface inspection
Assigns each pixel to a class to localize defects precisely.
Classification
Assigns an entire image to a class based on defined categories.
Part verification
Localizes relevant objects in the image and checks their presence and position.
Anomaly detection
Detects unknown deviations by comparing against known standards.
Keypoint detection
Determines precise positions and the orientation of objects using defined keypoints.
OCR / character recognition
Reads text such as serial numbers or batch markings from images.
Rule-based systems
Identifies deviations using fixed criteria and defined standards.
QR code scanning
Detects and processes coded information quickly and reliably.
Surface inspection
Assigns each pixel to a class to localize defects precisely.
Classification
Assigns an entire image to a class based on defined categories.
Part verification
Localizes relevant objects in the image and checks their presence and position.
Anomaly detection
Detects unknown deviations by comparing against known standards.
Keypoint detection
Determines precise positions and the orientation of objects using defined keypoints.
OCR / character recognition
Reads text such as serial numbers or batch markings from images.
Rule-based systems
Identifies deviations using fixed criteria and defined standards.
QR code scanning
Detects and processes coded information quickly and reliably.
The Maddox AI machine vision software gives you full control over your quality control process. Create high-quality datasets, train and evaluate your own AI models, and deploy them directly in production—all within a single platform.
With customizable workflows, teams distribute annotation tasks efficiently and collaboratively. Smart labeling tools and an intuitive interface ensure consistent annotations. This forms the foundation for high-quality training data and accurate AI models in quality control.
Assign specific annotation tasks directly to your team for an efficient and structured annotation process.
Keep important annotations permanently pinned as references for future markings, ensuring a consistent data foundation for model training.
Review annotations from different users side by side to identify inconsistencies and improve data quality. This guarantees that your AI models are trained on a reliable dataset.
“With Maddox AI, we were able to annotate our data efficiently and accurately as a team. The label noise analysis and real-time collaboration significantly improved our workflow.”
Process Engineer
at Tier-1 Automotive supplier
Our vision software provides powerful features for fast, precise creation of high-quality training data—resulting in reliable, consistent datasets for robust AI models and optimized industrial image processing from the start.
View only annotated defects to quickly identify and correct inconsistencies.
Use automated suggestions for missing annotations to create datasets faster, more easily, and with greater consistency.
Maddox AI detects novel defects and allows you to annotate them directly.
“Inconsistent training data is the biggest risk for AI project failure. Maddox AI’s collaborative labeling tool helps us identify and correct inconsistent annotations. With the refined training dataset, we significantly improved our model performance.”
Production Engineering Manager
Train and test AI models directly in Maddox AI’s machine vision software. The integrated test suite simulates real production conditions, improves detection accuracy and robustness, and reduces false scrap and escape rate. This ensures the model behaves as intended before going live.
Build powerful AI models using high-quality training data. Thanks to intuitive workflows, you can create accurate models in just a few clicks.
Assess model accuracy with in-depth analyses and performance metrics. Identify areas for improvement to further refine your model.
Simulate real production conditions to verify the robustness and accuracy of your models. This ensures that your AI-powered quality control works reliably in real-world scenarios.
“The ability to test models before deployment allowed us to detect and, most importantly, fix issues like excessive false rejects early on.”
Qualification & Validation Engineer
With the vision program, you can bring your models into production with a single click. This optimizes visual inspection through precise AI-based defect detection and enables efficient, automated quality control. Interfaces to PLC, MES/ERP as well as OPC UA, MQTT, and REST APIs are included.
Seamlessly integrate trained AI models into production and directly connect them to existing systems. The deployment process works at the push of a button.
Get a clear overview of which models are in use. This allows you to make timely adjustments and maintain consistently high inspection quality.
”Training and deploying AI models was incredibly easy. With Maddox AI, we brought our model into production with a single click while ensuring that only authorized users could make updates.”
Jan Struhar
Managing Director
With the analytics dashboard in our machine vision software, you can systematically reduce false rejects and optimize production processes. Increase efficiency, lower costs, and maximize your yield.
Get automatic alerts about issues and respond immediately to prevent downtime.
Use individual dashboards to track KPIs like OK rate and defect classes—with flexible filters for targeted analyses.
Maddox AI’s machine vision software delivers data-driven insights that help you reduce false scrap and sustainably increase manufacturing efficiency.
“With real-time monitoring, we always have a clear view of our production quality and can immediately react to deviations while continuously optimizing our processes.”
Thorben Priester
Quality Assurance Specialist
Identify problematic machines or process steps at a glance and optimize production in a targeted way.
Heatmaps show where defects occur most frequently. Maddox AI makes clusters visible so you can initiate effective countermeasures quickly.
When quality issues occur, precise root-cause analysis matters. With Maddox AI’s vision software, you identify sources of error in real time, improve your processes, and reduce scrap sustainably.
“The defect heatmap helps us identify structural and recurring errors. We use this feedback to adjust our injection molding process and minimize scrap costs.”
Jorg Schöniger
Manager Manufacturing Molding
Do you need the right camera system for your AI-powered quality control?
Karsten Jäger
Senior Account Executive
Would you like to learn more about our solution? – Test for free now!
What matters is data diversity: different appearances of defect types provide a good, representative defect sample that the Maddox AI system can learn from reliably. As a rough rule of thumb: in 90% of cases, 50 images per task (e.g., 50 NOK images of a defect class) are sufficient. In 10% of cases, another 50 images (i.e., 100 total) are needed to reliably adapt the system to your application.
Cycle time mainly depends on image size and the pipeline. Even for continuous products, very high belt speeds are possible—often well above two meters per second. AI-based systems like our vision program achieve inspection accuracy on the level of human inspectors. Depending on the use case, values above 99% are realistic.
Yes. Unlike purely rule-based systems, AI learns from real production data and makes more robust OK/NOK decisions. Consistent data annotation is crucial. Maddox AI has developed special tools that enable users to create a maximally consistent training dataset in the shortest possible time.
Maddox AI can be connected to all common PLC/MES/ERP interfaces—e.g., OPC UA, Profinet, MQTT, and REST APIs. Depending on the target system, integration is done via suitable connectors/interfaces so that inspection results, status signals, and production data are exchanged reliably. Our team supports you with interface selection, data-point definition, and commissioning until the integration runs stably.
Yes. Maddox AI is designed so you can train, test, and deploy high-performing models in production without prior AI knowledge or programming skills. The interface guides you step-by-step through the process and supports you in building AI models. Our team also helps you unlock the full potential of the machine vision software.
We are ISO 27001 certified.
