1109671

1109671

$18,145.11
  • Description:APU0200-04041.009 APPLIC.PROCES
  • Series:*
  • Mfr:SICK, Inc.
  • Package:Box

SKU:3066cdf63181 Category: Brand:

  
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Product Detailed Parameters

  • Description:APU0200-04041.009 APPLIC.PROCES
  • Series:*
  • Mfr:SICK, Inc.
  • Package:Box

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1109671

Overview

The SICK part number 1109671 is a component within the industrial automation portfolio, specifically associated with the Inspector83x series of industrial image processing systems. This series utilizes artificial intelligence and rule-based tools for quality management, defect detection, and sorting. The system features a quad-core CPU with an AI accelerator, supporting both monochrome and color imaging with resolutions up to five megapixels. It includes dual-port fieldbus interfaces and high-speed I/O for integration into industrial networks or PLCs. The hardware supports SICK AppSpace and HALCON software environments, enabling flexible configuration and custom Lua scripting for complex inspection tasks.

Feature Summary

  • Integrates AI-based intelligent inspection tools for automated part grading and anomaly recognition without manual rule programming.
  • Combines rule-based quality inspection tools for rapid verification of known specifications alongside AI capabilities.
  • Features a quad-core CPU architecture equipped with a dedicated AI accelerator to handle high-challenge detection tasks at high process speeds.
  • Supports flexible integration via dual-port fieldbus and high-speed I/O, compatible with SICK Nova plugins and HALCON.

Applications

  • Automated quality management in manufacturing environments
  • Defect detection and identification on production lines
  • Part grading and sorting based on visual criteria
  • High-speed inspection of medium to large-area components

Procurement Notes

Verify that the specific order corresponds to the Inspector83x series hardware configuration required for your application. Confirm compatibility with existing SICK AppSpace or HALCON software licenses if custom development is planned. Ensure that the power supply and network interface requirements match the facility's infrastructure. Cross-reference the full part number to confirm accessory inclusion, such as mounting brackets or cables, if specified in the original technical documentation.

Selection Notes

Select this component when applications require advanced AI-driven visual inspection capabilities beyond standard rule-based vision systems. It is suitable for scenarios involving variable product geometries or complex defect patterns where machine learning training offers superior adaptability. Consider this model for setups needing high-resolution imaging up to five megapixels combined with robust edge computing performance via the integrated AI accelerator.

Part Context

This part belongs to the Inspector83x family of industrial image processors designed by SICK AG. The series represents a shift towards AI-assisted quality control, allowing operators to train devices for specific instances rather than relying solely on predefined geometric rules. It integrates with the broader SICK ecosystem, including AppStudio for application development and AssetHub for digital twin management.

Replacement Considerations

Publicly confirmed substitute part numbers are not available in the provided source material. Consult SICK technical support for cross-referencing similar models within the Inspector series or legacy Vision Sensor lines if direct replacement is necessary.

FAQ

Does the Inspector83x support both monochrome and color imaging?

Yes, the system supports both monochrome and color imaging options to accommodate different inspection requirements.

What software environments are supported by the Inspector83x?

The device supports SICK Nova, SICK AppSpace, and HALCON, allowing for flexible integration and custom scripting via Lua.

How does the AI functionality improve inspection efficiency?

AI-based tools allow for instance-based training rather than manual rule creation, enabling faster setup and adaptation to new products or defects.

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