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Vision Guided Robotics 3D Cameras: When They Fall Short and What to Use Instead
3D cameras are the default sensing technology in vision guided robotics. They produce detailed point clouds of the workspace, give robots the depth information they need to plan picks, and handle a wide range of standard applications reliably. For most palletizing, pick and place, and material handling deployments, a 3D camera is exactly the right tool. But not every application is standard. Transparent parts, highly reflective surfaces, fast-moving conveyors, outdoor environ
6 min read


Vision Guided Robot: How It Works and Where It Makes the Biggest Impact
Mention vision guided robots to a plant manager dealing with inconsistent product placement or frequent SKU changeovers and the reaction is usually the same: interest followed immediately by skepticism. The technology sounds compelling in theory, but the assumption has long been that vision-guided automation is expensive, fragile, and built for high-volume operations with dedicated integration teams. That assumption is changing. The cameras, software, and robot arms that make
6 min read


Automated Tray Unloading: How Robots Handle Plastic, Transparent, and Semitransparent Trays
Automated tray unloading sounds like a straightforward depalletizing problem. The robot picks trays off a pallet and places them onto a conveyor or into a downstream process. Straightforward until the trays are plastic. Plastic trays, and particularly semitransparent or translucent plastic trays, are among the most difficult objects for standard 3D vision systems to handle reliably. They lack the surface features that help cameras locate and identify objects. They transmit an
5 min read


Specular Reflection and Diffuse Reflection: A Practical Guide for Robot Vision
If you have ever watched a robot vision demo go perfectly on test parts and then struggle on actual production parts, surface reflection is likely the reason. It is one of the most overlooked variables in robot vision cell design, and it is entirely predictable once you understand how different surfaces interact with light. This post takes a different angle than most technical explanations. Rather than walking through the physics from the ground up, it focuses on what specula
5 min read


Specular and Diffuse Reflection in Robot Vision: Why Surface Type Determines Camera Choice
One of the most common reasons a robot vision cell performs well in testing and fails in production is surface type. The camera used during development was tested on matte plastic samples. The actual production parts are polished aluminum castings. The point cloud that looked clean on the demo parts looks like noise on the real ones. Understanding how light reflects from different surfaces is not academic detail for a robot vision application. It is practical engineering that
5 min read
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