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Artificial Intelligence in Automotive Manufacturing

We help manufacturers adopt artificial intelligence in automotive industry
for smart and cost-effective vehicle production.

Our Expertise

We provide automotive AI services for car manufacturers that leverage 3D computer vision to make data-driven decisions at each manufacturing stage.
Geometry Optimisation for Quick Design Studies

Geometry Optimisation for Quick Design Studies

Problem: Creating a high-performant geometry design is challenging and risk-prone. Simulations are widely used to aid manufacturers in building a robust design. Yet, they require much time and computational resources to solve complex load cases.

Solution: Amplify design of complex geometries with deep learning techniques. Geometry AI solutions for the automotive industry allow for a safe product design with real-time simulation while reducing costs and engineering effort.

Data Analysis for Smart Design Engineering

Data Analysis for Smart Design Engineering

Problem: Automotive manufacturers perform complex simulations and numerous design iterations to stay competitive and compliant. These requirements generate a need to process huge information and get useful insights in an automated way.

Solution: Process the simulation results in an automated way with machine learning systems. An end-to-end data pipeline handles vast amounts of data and produces valuable insights like parameters affecting simulation results.

Visual Inspection for Automated Defect Detection

Visual Inspection for Automated Defect Detection

Problem: High-quality standards are essential to achieve the longevity and reliability of vehicles. However, manual inspection is error-prone and expensive, thus decreasing the accuracy of malfunction analysis.

Solution: Non-destructive visual testing that relies on 3D Geometry-based vision systems, enabling reliable and automated quality inspection. This AI automotive solution improves efficiency at your production sites and ensures traceability with low human intervention.

Having another challenge?

Our Projects In Crash Simulation

The use of AI in the automotive industry and simulation-driven design yields results and product efficiency in a shorter time without sacrificing accuracy.

Anomaly Detection in Crash Simulation

Our team of AI engineers implements anomaly detection algorithms to locate the undesired behavior in crash simulations. This AI automotive approach helps predict anomalous behaving simulations for design evaluation and certification.

Anomaly Detection in Crash Simulation

Unsupervised Low-Dimensional Representation

We aid manufacturers in data-driven virtual product design. We help compute an unsupervised low-dimensional representation of crash simulations to visualize the crash behavior of different simulations. Using geometric deep learning algorithms, we achieve remarkable visualization accuracy.

Unsupervised Low-Dimensional Representation

Self-Supervised Classification

We help introduce self-supervised methods that classify deformation behavior in crash analysis. This model feeds on a few training sample simulations to detect anomalous behavior. The result is a sufficient number of 1-4 simulations per class.

Self-Supervised Classification

Geometry Optimisation Using RL

Working with us, our clients get optimized geometry for enhanced crash behavior. We parametrize the model in consideration and use RL to optimize the geometry. This allows for increased energy absorption in crash analysis.

Geometry Optimisation Using RL

Intelligent Finite Element

Our team of AI developers builds a model to perform real-time structural simulation of a plate for a given load and BCs. The model captures Spatio-temporal patterns to predict stress for a simple component under boundary conditions over a set period.

Intelligent Finite Element

Problems We Solve in Manufacturing

Revolutionize your manufacturing flow with automated capabilities of artificial intelligence.
  • Computer Vision

    Automate monitoring processes for reduced costs and better productivity.

    • Visual defect detection with deep learning
    • Object tracking
    • Forklift collision prevention
    • Analog gauge data reading
    • Reinforced safety measures on-site
  • Predictive Analytics

    Predict critical future outcomes, reduce risks, and improve manufacturing operations.

    • Predictive maintenance
    • Anomaly detection
    • Workplace accident prevention
    • Demand planning
    • Warehouse capacity planning
  • Natural Language Processing

    Facilitate regulation consistency and eliminate administrative burdens.

    • SOP documents search automation
  • Optical Character Recognition

    Hand over text-based processes and increase documentation efficiency.

    • Automated documents processing
    • Automated invoice processing
  • Automate monitoring processes for reduced costs and better productivity.

    • Visual defect detection with deep learning
    • Object tracking
    • Forklift collision prevention
    • Analog gauge data reading
    • Reinforced safety measures on-site
  • Predict critical future outcomes, reduce risks, and improve manufacturing operations.

    • Predictive maintenance
    • Anomaly detection
    • Workplace accident prevention
    • Demand planning
    • Warehouse capacity planning
  • Facilitate regulation consistency and eliminate administrative burdens.

    • SOP documents search automation
  • Hand over text-based processes and increase documentation efficiency.

    • Automated documents processing
    • Automated invoice processing

Benefits for Your Business

Gain unrivaled AI capabilities to remain competitive in the complex manufacturing landscape.
  • data engineering and architecture
    Data-driven Production
    Processes
  • icon visualization
    Improved Manufacturing
    Yield
  • Reduced Costs
    Reduced Operational
    Costs
  • design
    Advanced Simulation
    Design
  • Recommender systems
    Proactive Quality-issue
    Management
  • Improved Productivity
    Safer Operational
    Environment

Our Services

Combining the power of AI and automotive manufacturing.
  • first
    Consulting
    Need a robust AI-based solution but don’t know where to start? Or looking for a tailored model for complex data analysis? Reach out to our AI experts to get expert advice.
  • second
    Analytics
    Adopt Machine Learning models and Big Data development for smarter operational analysis. Extract valuable insights from operational data for averting asset downtimes.
  • third
    AI Development
    Looking for a tailored AI solution to deliver better products? Kick-start AI development with our experts and get a bespoke smart solution.
  • four
    Post-Production Support
    Make sure your solution operates at its peak and meets evolving needs after it goes live. Our team monitors and manages your software in the post-production stage.

Why Work With InData Labs?

Bridging the gap between intelligence and technology.
  • Top-Rated AI Company
    InData Labs is among the leading automotive AI companies of 2021 with a global presence and deep expertise.
  • Industry-Focused
    We stay on top of the latest AI auto works. We focus on the unique needs of our clients and provide AI automotive solutions that address their pains.
  • Reliable Tech Partner
    Efficient communication, strict deadlines, and innovative ideas to set up your project for success.

Frequently Asked Questions

  • The applications of AI in the automotive industry are widespread and revolutionary. They permeate every production stage, including:

    • Predictive maintenance
    • Quality inspection with deep learning and computer vision
    • Worker safety
    • Asset performance management
    • Supplier performance monitoring
    • Energy savings
  • AI and machine learning in automotive industry prove effective when:

    • Manufacturers need to enable fast innovation cycles
    • Smart automation is a prerequisite to high-quality output
    • Companies are falling behind system and component data
    • Automotive production incurs large operational costs
    • A safer work environment is needed, and others.
  • Creating, training and deployment of intelligent algorithms is complicated and can include the following technical constraints:

    • Obscurity of the ML algorithms
    • Long and repetitive algorithm testing
    • Lack of data and expertise to build and implement simulators
    • Unpredictable time and cost to market.

    Being among leading automotive AI companies, InData Labs provides expert advice on AI solutions for the automotive industry. Our team of AI developers guides you on the road to digital transformation and makes the implementation of AI in automotive fast and frictionless.

Contact InData Labs

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