This application case features the Magenta Robotics FA VISION, a system designed for parts tending and inspection. Traditional production lines often suffer from high claim rates due to damaged, missing, or incorrectly shipped items, as well as significant delays between assembly and final taping/packaging.

FA VISION improves these inefficient systems by using AI to rapidly recognize the position and shape of objects, even measuring 3D coordinates and volume. This minimizes human error and optimizes the entire parts tending and inspection process.

Components

Robot
  • Vision Inspection: FA VISION

    • AI-based high-speed object recognition.

    • Technology for measuring 3D position, volume, and length.

    • Ensures operational stability and increased productivity.

  • Robot Integrated Control Framework: MAVIZ (S/W)

    • Proprietary robot control and simulation software.

    • Controls and simulates robot behavior by assessing the environment and context.

    • GUI-based programming enables robot teaching and application over 4x faster than conventional methods.

  • Multi-Item High-Speed Image Processor: MAVIX

    • Powered by the NVIDIA JETSON TX2 board.

    • Integrates parallel processing technology for advanced image analysis.

    • Feature-point-based recognition module and rule-processing engine.

    • Recognizes over 300 types of parts using deep learning.

    • Automated quality inspection via vision recognition.

Workflow

STEP 1.Parts are fed into the system.
STEP 2. Object recognition and position verification are performed.
STEP 3. The robot executes parts tending (handling/loading).
STEP 4. Final inspection is conducted.
STEP 5. Workpieces are sorted and discharged.

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AI Vision Inspection System: FA VISION

Implementing Company
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Estimated Project Duration
0week
Robot Model
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