EINES Parts Check Solutions
EINES Parts Check Solutions
EINES Parts Check Solutions
EINES Parts Check Solutions
EINES Parts Check Solutions

EINES Parts Check Solutions

Automotive Industry Inspection Solutions, EINES Multi Error Proofing solution for parts and components incl door panels, instrument panels and headliners.

  • Door Panels Check System
  • Instrument Panels Control Solution
  • Multi Error Proofing Inspection for Headliners
  • End of Line Tunnel System

Multi Error Proofing End of Line for the Automotive Industry

EINES Vision Systems offers a variety of solutions for checking parts quality, such as doors, instrument panels or headliners for automotive manufacturers. Systems are simple to setup and versatile to enable high customization based on customers’ needs.

Features

image Features

Component Check

It is an integrator of various component checking: electronic devices, lightning or decorative inserts, colour recognition, relative measurements and so on.

Electrical Check Out

The system uses the ECOS application (Electrical Check-Out System) to measure voltage, consumption or resistance for each electrical or electronic device.

Ergonomics Analytics

Real-time Human Pose Recognition based on Artificial Intelligence (AI) models to improve the operator’s ergonomics.

Pick & Place

Sensors guide the operators. It enables control of the pick-up of parts for proper assembling.

Presence/Absence of Parts

The solution controls the parts’ location and ensures any component is left.

Surface Defects

The part is visually inspected, and the defects are immediately shown to the operator and stored for traceability.

    Advantages

    • Small Footprint
    • User Friendly
    • Traceability and Executable actions
    • Flexible & Customisable
    • Cost Effective and Low Maintenance
    • Reporting and Big Data

    Inspection Capabilities

    image Inspection Capabilities

    1.Ambient Light Colour / Intensity

    2. Tweeter

    3. Lock / Unlock Button

    4. TIB Light

    5. Armrest Light

    6. Middle-Toner

    7. Armrest Button

    8. Trunk / Fuel Buttons

    9. Panel Light / Logo Projector

    10. Safe Led

    11.Speaker Foam

    12. Nar Crash

    13. Screws / Clip / Fastners

    14. Decorative / Insert Parts

    15. General connection / Harness

    Door Panels

    EINES® Door Panels Check system analyses every door in a customised way. The system can accommodate different models and easily connects with any platform and database. Thanks to Artificial Intelligence and Deep Learning, any defect can be detected according to the customer’s needs.

    image Door Panels

    Instrument Panels

    image Instrument Panels

    EINES® Instrument panel check system checks several points, such as the presence or absence of parts, colour recognition or relative measurements in all kinds of instrument panels. Thanks to Artificial Intelligence, the customer can customise the types of defects required to be inspected. Also, the system follows defect traceability to provide statistics to find the root causes and improve assembly quality.

    Headliners

    EINES® Headliners Check System is a workbench capable of performing a visual inspection. It can check several different models without changing tools. First, the operator is guided in assembly operations, then, the part is visually inspected, and the defects are immediately shown and stored for traceability.

    image Headliners

    Inline Tunnel-based System

    The flexibility of the system allows it to adapt to any type of line. The Multi Error Proofing Tunnel-based system has a small footprint and parts move trough in Automated Guided Vehicles (AGV) or other means of transport.

    image Inline Tunnel-based System

    Upcoming Webinar

    Join our virtual event to learn more about our products. We will discuss the several possibilities of parts check systems.

    Artificial Intelligence (AI)

    Thanks to Artificial Intelligence, the system can learn by itself, making it possible to:
     

    • Analyse operator’s movements and study their ergonomics
    • Learn any kind of defect and part model

    The Deep Learning Model, guides the operator through the assembly process to achieve a perfect part whilst also saving time. Any defects are stored to identify the root causes and encourage continuous improvement.

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