Region segmentation and quantification
U-Net, DeepLabV3+, SegFormer or Mask2Former → connected components and morphology → region measurements
JIVISION offers project development and technical assessment for Bagged, Fabric and Deformable-Object Grasp Perception. Scope: Flexible-object contours, keypoints, folds, graspable regions and deformation.
Flexible-object contours, keypoints, folds, graspable regions and deformation
Cloth and bags lack a fixed rigid pose; define graspable regions and gripping constraints by shape and material.
These are candidate implementation paths. Establish a baseline on real samples, then select or combine methods for imaging, speed and deployment constraints. Model names do not imply measured project results.
U-Net, DeepLabV3+, SegFormer or Mask2Former → connected components and morphology → region measurements
RTMPose, HRNet or MediaPipe keypoints → temporal filtering → joint angles, poses and spatial relationships
Shi-Tomasi/FAST features → LK, Farneback or DIS flow; alternatively TAPIR/TAPNext/RAFT → occlusion and drift handling
Stereo calibration and rectification → BM, SGBM or RAFT-Stereo → consistency checks and hole handling
Provide robot/controller models, grippers/tools, parts or CAD, coordinate frames, working volume, camera mounts, control periods and interlock interfaces.
Result schema, algorithm or processing configuration, example outputs and evaluation records for: Flexible-object contours, keypoints, folds, graspable regions and deformation. Software format and source-code scope are agreed in the contract.
Specify input formats, output fields, coordinates/units, error states, versions and invocation methods. Define review and failure handling. The statement of work determines the exact scope of source code, executables, model files or analysis reports.
Keypoint error; grasp success; deformation-stratified results
Test visual localization error, calibration error, grasp/alignment success and end-to-end cycle time separately, including occlusion, empty scenes, changeovers and communication loss.
These are measures to agree and test, not achieved-performance claims. Freeze samples, reference truth, thresholds and hardware/software versions before acceptance; report subgroup results and failures, identifying under-sampled conditions as uncovered.
Agree targets, stations, inputs and responsibilities in a statement of work, separating required and excluded conditions.
Use representative samples to test critical risks, document feasibility/failures and scope the next-stage estimate.
Implement agreed functions and interfaces with configuration/change records; use offline replay before authorized device or site integration.
Retest against individual measures and hand over contracted artifacts with known limits; manage maintenance, expansion and changeovers as subsequent work packages.
Vision output does not replace independent safety control. Responsible teams must verify robot motion, tooling and line interlocks before integrated testing.
Candidate technologies are not license clearance. Check code, model weights, training data and dependency versions separately. Replace, license or exclude components unsuitable for the intended commercial delivery. Customer data is not used for public training by default.
Flexible-object contours, keypoints, folds, graspable regions and deformation. Deliverables: Result schema, algorithm or processing configuration, example outputs and evaluation records for: Flexible-object contours, keypoints, folds, graspable regions and deformation. Software format and source-code scope are agreed in the contract.
Cloth and bags lack a fixed rigid pose; define graspable regions and gripping constraints by shape and material.
Task-specific measures: Keypoint error; grasp success; deformation-stratified results. Test visual localization error, calibration error, grasp/alignment success and end-to-end cycle time separately, including occlusion, empty scenes, changeovers and communication loss.
After reviewing samples for flexible-object contours, keypoints, folds, graspable regions and deformation, equipment conditions and interfaces, scope validation, development, deployment and acceptance separately. Data coverage, site changes and delivery rights affect the estimate; no fixed performance or schedule is promised before assessment.
Service ID: D17 · Bagged, Fabric and Deformable-Object Grasp Perception
Describe available samples, equipment and target measures. Agree confidentiality and permissions before transferring sensitive or personal data through an approved channel.
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