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Products
  • Material Receiving and Powder Feeding Process
    Material Receiving and Powder Feeding Process
  • Weighing Process
    Weighing Process
  • Storage Process
    Storage Process
  • Dust Collecting Process
    Dust Collecting Process
  • Mixing Process
    Mixing Process
  • Sifting and Foreign-material Removal Process
    Sifting and Foreign-material Removal Process
  • Crushing and Milling Process
    Crushing and Milling Process
  • Drying and Controlling Temperature Process
    Drying and Controlling Temperature Process
  • Handling Process
    Handling Process
  • Valves and Piping parts
    Valves and Piping parts
  • Software Solutions
    Software Solutions
  • Difficult-to-process materials
    Difficult-to-process materials
  • Actual equipment test
    Actual equipment test
Pow Vision System

Pow Vision System

PV Checker – System to prevent incorrect charging
PowVision recognition system – System for automatic recognition of optimal work positions

By utilizing the latest image recognition technology (2D/3D) and implementing AI analysis, we contribute to "eliminating human errors" and significantly improving work efficiency.

Reliably prevents mistakes and errors by utilizing image recognition and AI.

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TSUKASA’s PowVision system use case 1

“PV Checker” image recognition judges the correctness of raw material bags

When feeding powder raw materials, the wrong type (flour, sugar, additives, etc.) was often encountered. By introducing the “PV Checker,” we can reliably prevent misfeeds by photographing the bag surface before feeding and only unlocking the feed port when the design (letters, patterns, colors, etc.) is “OK.”
TSUKASA’s PowVision system use case 1 イメージ

TSUKASA’s PowVision system use case 2

“PowVision recognition system” promotes zero defect rate.

During supplying raw material bags to the automatic opening system, the position, height and orientation of the bags on a pallet are accurately recognized by the 3D vision camera. "The problem of defective adsorption of the bag being less than 0.5% of the total," and "No error in load when pressing the pads" were achieved.
TSUKASA’s PowVision system use case 2 イメージ
  • Pow Vision System

    最適ワークポジション自動認知システム

    System for automatic recognition of optimal work positions

    The position, height, and tilt of bags on a pallet are recognized using camera images. Advanced image processing using AI captures the workpiece in three dimensions, enabling pinpoint suction lift-up, preventing it from falling off during transport. TSUKASA leverages its strengths as a manufacturer to develop autonomous control systems for robots and machines using “Physical AI.”
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  • Pow Vision System

    PV Checker

    PV Checker

    Erroneous material feedings into automatic bag opening equipment and weighing equipment are shut out. The design of the bag surface is photographed with the camera of the tablet and automatically judged whether it is the right material to avoid risks that would be unavoidable with manual inspections.
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If you want to request or download detailed information, or consult with us about technologies or ask questions about our products, contact us from this page.
  • Material Receiving and Powder Feeding Process
    Material Receiving and Powder Feeding Process
  • Weighing Process
    Weighing Process
  • Storage Process
    Storage Process
  • Dust Collecting Process
    Dust Collecting Process
  • Mixing Process
    Mixing Process
  • Sifting and Foreign-material Removal Process
    Sifting and Foreign-material Removal Process
  • Crushing and Milling Process
    Crushing and Milling Process
  • Drying and Controlling Temperature Process
    Drying and Controlling Temperature Process
  • Handling Process
    Handling Process
  • Valves and Piping parts
    Valves and Piping parts
  • Software Solutions
    Software Solutions
  • Difficult-to-process materials
    Difficult-to-process materials
  • Actual equipment test
    Actual equipment test