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AI-Based Quality Control for Industry and Infrastructure

Maddox AI automates and optimizes a wide range of visual inspection tasks for leading industrial and infrastructure companies.

In industrial and infrastructure sectors, components must withstand high mechanical and environmental stresses. Maddox AI enables real-time monitoring of manufacturing quality, ensuring strict compliance with quality assurance production standards—from transport cables to sealing components for industrial plants.

Brass bearing cages on a production workbench.

AI-Based Quality Control for Industry and Infrastructure

Maddox AI automates and optimizes a wide range of visual inspection tasks for leading industrial and infrastructure companies.

In industrial and infrastructure sectors, components must withstand high mechanical and environmental stresses. Maddox AI enables real-time monitoring of manufacturing quality, ensuring strict compliance with quality assurance production standards—from transport cables to sealing components for industrial plants.

Brass bearing cages on a production workbench.

AI-Based Quality Control for Industry and Infrastructure

Maddox AI automates and optimizes a wide range of visual inspection tasks for leading industrial and infrastructure companies.

In industrial and infrastructure sectors, components must withstand high mechanical and environmental stresses. Maddox AI enables real-time monitoring of manufacturing quality, ensuring strict compliance with quality assurance production standards—from transport cables to sealing components for industrial plants.

Brass bearing cages on a production workbench.

Leading companies in the industry and infrastructure sectors already rely on Maddox AI

Leading companies in the industry and infrastructure sectors already rely on Maddox AI

Companies in mechanical engineering face increasing cost pressures

while having to meet strict quality requirements

Companies in mechanical engineering face increasing cost pressures

are, however, simultaneously confronted with high quality requirements

Companies in mechanical engineering face increasing cost pressures

are, however, simultaneously confronted with high quality requirements

False Rejects Lead to Unnecessary Costs

When defect-free parts are mistakenly rejected, scrap rates and production costs rise, significantly reducing overall efficiency.

Customer Complaints Increase Workload and Strain Relationships

Defective products at the customer site lead to complaints, consuming time and resources while damaging customer trust.

Traditional Camera Systems Often Fail

Conventional inspection systems in industrial applications struggle with high production variability, leading to increased maintenance efforts, false rejects, and costly customer complaints.

Pseudo scrap causes unnecessary costs

When defect-free parts are mistakenly rejected, scrap rates and production costs rise, significantly reducing overall efficiency.

Customer Complaints Increase Workload and Strain Relationships

Defective products at the customer site lead to complaints, consuming time and resources while damaging customer trust.

Classic camera systems often do not work

Conventional inspection systems in industrial applications struggle with high production variability, leading to increased maintenance efforts, false rejects, and costly customer complaints.

“With Maddox AI, we took the first step toward automated visual inspection of brass cages—completely risk-free. The AI software analyzes different geometries and surfaces, reliably identifying defects. The next step is to integrate the technology into full-scale production.”

Paste SVG

Vincent Kertscher

Production Engineering Manager

“With Maddox AI, we took the first step toward automated visual inspection of brass cages—completely risk-free. The AI software analyzes different geometries and surfaces, reliably identifying defects. The next step is to integrate the technology into full-scale production.”

Paste SVG

Vincent Kertscher

Production Engineering Manager

With Maddox AI, the following use cases in the industry and infrastructure sectors can be inspected:

Detection of irregularities and defects

To ensure the high quality of components in the industrial and infrastructure sectors, even when production batches exhibit slight visual variations.

Smoothness of the surface

Identification of irregularities, scratches, chips, or cracks on sensitive components such as seals or machine bearings to ensure smooth functionality and extended lifespan.

Detection of inclusions and foreign objects

Identification of inclusions, bubbles, or corrosion in critical components that could compromise their structural integrity, such as in transport cables or other stressed parts.

Detection of deformations

Identification of deformations, distortions, or mechanical damage that may occur during the manufacturing process or due to external stresses, ensuring the functionality and long-term durability of the components.

Precise component verification

Inspection of components to ensure they meet exact specifications and are assembled without errors, guaranteeing that all parts are correctly installed and suitable for operation.

Identification of cracks and fractures

Early detection of cracks or fractures that may occur on components such as transport cables or bearings, compromising their structure and safety. This allows for timely measures to be taken for repair or replacement.

Examination for correct assembly

Inspection for incorrectly mounted components or faulty alignments that could lead to malfunctions due to improper installation.

Reading of bar and QR codes

Recognition of codes for precise identification and verification of components and products.

Traceability of goods

Automate the traceability of goods, from storage to delivery, to ensure that each shipment can be accurately tracked and documented.

Maddox AI can be used, among other things, to inspect the following use cases in the electrical industry:

Detection of irregularities and defects

To ensure the high quality of components in the industrial and infrastructure sectors, even when production batches exhibit slight visual variations.

Smoothness of the surface

Identification of irregularities, scratches, chips, or cracks on sensitive components such as seals or machine bearings to ensure smooth functionality and extended lifespan.

Detection of inclusions and foreign objects

Identification of inclusions, bubbles, or corrosion in critical components that could compromise their structural integrity, such as in transport cables or other stressed parts.

Detection of deformations

Identification of deformations, distortions, or mechanical damage that may occur during the manufacturing process or due to external stresses, ensuring the functionality and long-term durability of the components.

Precise component verification

Inspection of components to ensure they meet exact specifications and are assembled without errors, guaranteeing that all parts are correctly installed and suitable for operation.

Identification of cracks and fractures

Early detection of cracks or fractures that may occur on components such as transport cables or bearings, compromising their structure and safety. This allows for timely measures to be taken for repair or replacement.

Examination for correct assembly

Inspection for incorrectly mounted components or faulty alignments that could lead to malfunctions due to improper installation.

Reading of bar and QR codes

Recognition of codes for precise identification and verification of components and products.

Traceability of goods

Automate the traceability of goods, from storage to delivery, to ensure that each shipment can be accurately tracked and documented.

With Maddox AI, the following use cases in the industry and infrastructure sectors can be inspected:

Detection of irregularities and defects

To ensure the high quality of components in the industrial and infrastructure sectors, even when production batches exhibit slight visual variations.

Smoothness of the surface

Identification of irregularities, scratches, chips, or cracks on sensitive components such as seals or machine bearings to ensure smooth functionality and extended lifespan.

Detection of inclusions and foreign objects

Identification of inclusions, bubbles, or corrosion in critical components that could compromise their structural integrity, such as in transport cables or other stressed parts.

Detection of deformations

Identification of deformations, distortions, or mechanical damage that may occur during the manufacturing process or due to external stresses, ensuring the functionality and long-term durability of the components.

Precise component verification

Inspection of components to ensure they meet exact specifications and are assembled without errors, guaranteeing that all parts are correctly installed and suitable for operation.

Identification of cracks and fractures

Early detection of cracks or fractures that may occur on components such as transport cables or bearings, compromising their structure and safety. This allows for timely measures to be taken for repair or replacement.

Examination for correct assembly

Inspection for incorrectly mounted components or faulty alignments that could lead to malfunctions due to improper installation.

Reading of bar and QR codes

Recognition of codes for precise identification and verification of components and products.

Traceability of goods

Automate the traceability of goods, from storage to delivery, to ensure that each shipment can be accurately tracked and documented.

Discover how leading mechanical engineering companies use Maddox AI to reduce costs and increase production efficiency

Black ceramic rings on a textured surface.

Whether cracks, chipping, or polishing defects — with Maddox AI, the visual inspection of SiC rings is carried out automatically, objectively, and efficiently, ensuring consistently high inspection accuracy even with large volumes.

Industry & Infrastructure

To Success Story

Brass bearing cages on a production workbench.

With Maddox AI, the inspection of bearing cages for industrial, railway, and maritime applications is now fully automated. Surface defects such as burrs, roughness, or material flaws are reliably detected—without manual inspectors and with consistently high inspection quality.

Industry & Infrastructure

To Success Story

Rows of identical aluminum die-cast metal parts arranged neatly in a factory.

Surface defects such as rust, stains, or chipping can be reliably identified with Maddox AI. This not only reduces customer complaints but also enables targeted optimizations in the manufacturing process.

Industry & Infrastructure

To Success Story

Black ceramic rings on a textured surface.

Whether cracks, chipping, or polishing defects — with Maddox AI, the visual inspection of SiC rings is carried out automatically, objectively, and efficiently, ensuring consistently high inspection accuracy even with large volumes.

Industry & Infrastructure

To Success Story

Brass bearing cages on a production workbench.

With Maddox AI, the inspection of bearing cages for industrial, railway, and maritime applications is now fully automated. Surface defects such as burrs, roughness, or material flaws are reliably detected—without manual inspectors and with consistently high inspection quality.

Industry & Infrastructure

To Success Story

Rows of identical aluminum die-cast metal parts arranged neatly in a factory.

Surface defects such as rust, stains, or chipping can be reliably identified with Maddox AI. This not only reduces customer complaints but also enables targeted optimizations in the manufacturing process.

Industry & Infrastructure

To Success Story

Black ceramic rings on a textured surface.

Whether cracks, chipping, or polishing defects — with Maddox AI, the visual inspection of SiC rings is carried out automatically, objectively, and efficiently, ensuring consistently high inspection accuracy even with large volumes.

Industry & Infrastructure

To Success Story

Brass bearing cages on a production workbench.

With Maddox AI, the inspection of bearing cages for industrial, railway, and maritime applications is now fully automated. Surface defects such as burrs, roughness, or material flaws are reliably detected—without manual inspectors and with consistently high inspection quality.

Industry & Infrastructure

To Success Story

Rows of identical aluminum die-cast metal parts arranged neatly in a factory.

Surface defects such as rust, stains, or chipping can be reliably identified with Maddox AI. This not only reduces customer complaints but also enables targeted optimizations in the manufacturing process.

Industry & Infrastructure

To Success Story

Gold-plated contact pads on a textured black surface.

Retrofit

By integrating Maddox AI into the existing camera system, manual re-inspection of laser bars is significantly reduced, while detection quality is improved and the OK/NOK evaluation is standardized.

Industry & Infrastructure

To Success Story

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