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E3TAM

Separate object counts through overlapping-package instance masks

Solution concept

Overlapping packages may look like one connected colour region. A semantic mask can show material area without resolving separate object count or visible grasp regions.

Artificial intelligenceresearch-backed conceptraw image / analysis separationpixel / instance mask
Information delivered

Show instance identity, visible area and count together without inventing occluded surfaces. Hold an ambiguous package group for manual separation review.

Separate object counts through overlapping-package instance masksILLUSTRATIVE SIMULATION
Separate object counts through overlapping-package instance masks
  1. 01 Position
  2. 02 Raw image
  3. 03 Mask generation
  4. 04 Region calculation
  5. 05 Decision
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Register the ROI; occluded areas are excluded from visible-area calculations.

Target-mask area
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Connected regions / objects
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Decision metric
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Scenes are illustrative simulations; they are not customer references or performance guarantees.

Solution approach

Pixel or instance masks are derived from the raw image; a coded legend separates background and target regions. Area fractions use only the visible ROI. Assign each package an I1/I2/I3 instance mask and colour visible area only. An unresolved overlap triggers a hold instead of a definite count.

Process steps

  1. 01

    Position

    Register the ROI; occluded areas are excluded from visible-area calculations.

  2. 02

    Raw image

    Keep the controlled raw image in a separate panel.

  3. 03

    Mask generation

    Coded colours show target classes or object identities.

  4. 04

    Region calculation

    Derive area fraction, connected regions and the decision metric from the mask.

  5. 05

    Decision

    Hold an out-of-limit sample for review with its local region marked.

Vision system design

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