RGB + pose
Axes on every detected part, ready for approach.
SEDECO
Affordable industrial 3D sensing, AI pose, grasp definition and robot integration, for applications where premium platforms are commercially hard to justify. Open, configurable, suited to accessible robot platforms. Send an STL or samples; we start a feasibility check.
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Live stack
Our 3D AI inference sees the bin, fits objects and stages the best grasp for the robot. Camera, integrations and outputs online.
Axes on every detected part, ready for approach.
Aligned depth map for volume and occlusion.
Controller linked, grasp to TCP.
Depth + metrics
Aligned metric depth beside live RGB. Capture, infer and drop timings stay visible, so you know what the stack does on the line.
Grasp tooling
Choose a point on the detected STL. Position follows every pose; distance runs along the surface normal. Approach direction and cylinder axis stabilize tool orientation.
Detect → control
Cell
Fin Ray-style or mechanical fingers, same vision stack, different end effector. Dirty parts, occlusion, pose variation: that is why 3D.
Pipeline
In-house tooling for training, synthetic data, recursive improvement and grasp selection, wired to the robot.
01
CAD as ground truth for fit and grasp.
02
Multi-GigE or Hikrobot 3D, scene to depth.
03
Fit under real occlusion and pose variation.
04
Accelerate learning when labels are scarce.
05
Feedback until the grasp is dependable.
06
Grasp point to controller and PLC handshake.
PoC
Workflow: samples or STL → feasibility check → train/configure → robot coupling → commissioning. Ship parts without CAD and constructors can build an STL. Acceptance criteria and support path are agreed up front.
We do not position this as a universal replacement for Keyence, Mech-Mind or Pickit. It is a more open, configurable path backed by Sedeco’s machine-vision expertise, performance always subject to feasibility testing on your parts.
Share STL or samples, robot brand and takt, we’ll propose a PoC path.
Start with the knowledge guides when you need to validate feasibility, cycle time or when 3D depth is actually required for robot vision.