New

Newsroom more...

msg_Gradient_farblos_1 (2)
Künstliche Intelligenz Main Page Filled

Defect images in auditing

Automatic recognition and classification

Challenge

  • Currently too much time is required to summarize the defect image (consisting of defect, type of defect and location on the vehicle) in the system
  • Goals:
    • Faster and easier capture of the defect in the system by automated image recognition and classification of the defect
    • Generating a proposal list from which the matching attributes can be selected

Solution

Image recognition by Deep Neural Networks

  • Creation and labeling of defect classes (manually)
  • Training a deep neural network
  • Generating proposals from the most likely matches
  • Interactive (not fully automated)

Benefit

  • Support of auditors in defect recognition; simplification of the recording process
  • Faster recording of the defect image in the system without time-consuming manual search for the correct component and defect descriptions
  • Uniform proposals for defect images ensure a consistent data basis

Your contact

Dragan, Sunjka

Dragan Sunjka

Lead IT Consultant Automotive & Manufacturing

Read more about AI

Reference

Optimize test data management with unsupervised learning. Our AI solution identifies representative vehicle configurations, maximizing test coverage and reducing manual efforts.

Reference

Use machine learning to predict rework in vehicle production. Reduce error costs and optimize production processes through targeted analyses.

Success Story Ritter Energie

A chatbot simplifies customer service by automating common queries and providing quick, efficient responses. This saves companies time and resources.

Reference

Accurately count small components on large carriers. Our AI solution automatically tallies the parts, reducing errors and increasing production precision.

Reference

Prevent customer churn with AI-based tariff change prevention. Leverage intelligent analytics to optimize tariffs and enhance customer retention.

#rethinkcompliance Blog

Authorities and financial institutions (FIs) are highly aware of the challenge of detecting financial crime. Modern criminals are using increasingly more complex structures and are acting across multiple financial institutions and jurisdictions. Parties, such as FIs, FIUs , and law enforcement, operating alone encounter challenges in the identification and tracing of suspicious behavior.

AI from msg – Made in Europe

With artificial intelligence, we want to drive forward the use of AI in organisations faster and more successfully. What sets us apart: Forward-looking consulting services and products to enable value creation through data.

Learn more