Maddox AI can be used to optimize and automate a wide range of inspection tasks in the automotive industry.
AI-driven visual quality control is a key component of high-tech automotive production, which must meet the highest quality standards. Leading suppliers and OEMs worldwide optimize their quality assurance process with Maddox AI, reducing costs and increasing yield.
Leading Automotive Companies Already Rely on Maddox AI
while being held to strict manufacturing quality standards
Wenn fehlerfreie Teile fälschlicherweise aussortiert werden, steigen Produktionskosten und Ausschussquoten, was die gesamte Effizienz der Produktion erheblich beeinträchtigt.
Defective products reaching customers lead to complaints, consuming time and resources while damaging trust.
Conventional inspection systems in the automotive industry struggle with high production variability, leading to increased maintenance, false rejects, and, in the worst case, costly customer complaints.
“With Maddox AI, we meet the high quality requirements of our end customers in the automotive industry. Even the smallest defects are reliably detected on various surfaces.”
Process Engineer
at Tier-1 Automotive supplier
Inspection of parts for surface defects
detection of scratches, dents and cracks to minimise the number of defective parts and improve the overall quality of the final product.
Inspection of seats and upholstery
checking seats and upholstery for cracks, abrasion and unclean seams to improve the comfort and aesthetic appearance of the vehicle interior.
Inspection of injection moulded parts
Detection of over- as well as under-moulding, flash, bubbles or inclusions on plastic parts such as seals, hoses, diaphragms, etc.
Rust and corrosion identification
Detection of rust and corrosion on metal parts such as body panels and bolts to ensure the longevity of the vehicle.
Inspection of metallic components
Detection of defects such as scratches, impact marks or damage on stamped, turned, forged and cast parts, e.g. for the inspection of gear wheels, turned parts or ball bearings.
Automated monitoring of production batches
To ensure that consistent results are achieved in production, even if differences in brightness or gloss occur.
Identification of defects in electronic components
Detection of defects in printed circuit boards, E-modules, sensors, cameras and other electronic components.
Controls and display analysis
To check controls and displays for scratches, cracks and irregularities for an optimal user experience.
Precise component verification
Checking individual components for their exact specification and ensuring error-free assembly.
Identification of part numbers and embossing
Accurately capture part numbers as well as engravings and embossings on components using OCR to enable accurate allocation and prevent incorrect orders.
Verification of assembled parts
Identify missing or incorrectly assembled parts to reduce the number of defective products and increase the overall efficiency of the assembly process.
Reading of bar and QR codes
Recognition of codes for accurate identification and verification of components and products.
Alignment of parts during assembly
checking the alignment of parts to ensure they are correctly positioned and free of defects
Traceability of products
Complete traceability of products from manufacturing to the end user to ensure safety and quality throughout the supply chain.
Inspection of parts for surface defects
detection of scratches, dents and cracks to minimise the number of defective parts and improve the overall quality of the final product.
Inspection of seats and upholstery
checking seats and upholstery for cracks, abrasion and unclean seams to improve the comfort and aesthetic appearance of the vehicle interior.
Inspection of injection moulded parts
Detection of over- as well as under-moulding, flash, bubbles or inclusions on plastic parts such as seals, hoses, diaphragms, etc.
Rust and corrosion identification
Detection of rust and corrosion on metal parts such as body panels and bolts to ensure the longevity of the vehicle.
Inspection of metallic components
Detection of defects such as scratches, impact marks or damage on stamped, turned, forged and cast parts, e.g. for the inspection of gear wheels, turned parts or ball bearings.
Automated monitoring of production batches
To ensure that consistent results are achieved in production, even if differences in brightness or gloss occur.
Identification of defects in electronic components
Detection of defects in printed circuit boards, E-modules, sensors, cameras and other electronic components.
Controls and display analysis
To check controls and displays for scratches, cracks and irregularities for an optimal user experience.
Precise component verification
Checking individual components for their exact specification and ensuring error-free assembly.
Identification of part numbers and embossing
Accurately capture part numbers as well as engravings and embossings on components using OCR to enable accurate allocation and prevent incorrect orders.
Verification of assembled parts
Identify missing or incorrectly assembled parts to reduce the number of defective products and increase the overall efficiency of the assembly process.
Reading of bar and QR codes
Recognition of codes for accurate identification and verification of components and products.
Alignment of parts during assembly
checking the alignment of parts to ensure they are correctly positioned and free of defects
Traceability of products
Complete traceability of products from manufacturing to the end user to ensure safety and quality throughout the supply chain.
Karsten Jäger
Senior Account Executive
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