Technology

Machine vision.

Random product positioning reduces throughput and consistency. Vision technology enables robots to detect, identify, and position products without predefined placement, increasing throughput, reducing labor dependency, and improving process reliability across intralogistics and manufacturing applications.

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overview

What is machine vision?

Machine vision technology can be seen as the eyes of an automated system. Using advanced 3D cameras, industrial computers capture images of products and their surroundings. This allows accurate estimation of product locations, pickup positions and characteristics, forming the foundation for flexible automation in variable environments.

Variable product positioning

Repetitive manual handling

Inconsistent process quality

Labor availability constraints

Technology

How it works

Advanced 3D cameras capture product images, which are processed by industrial computers to determine positions and characteristics. This data is used for robot kinematics and path planning, enabling accurate, collision-free handling of products with variations.

Vision AI uses trained artificial intelligence models for recognition and classification.
CAD Matching detects products using 3D CAD models and predictable geometries.
Systems provide positional data for robot movement and process optimization.

Random mixed palletizing

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Parcel induction

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Item picking

Random mixed depalletizing

Stamping stacking

Cutting, welding, and handling of thick metal products

Flexible manufacturing of miscellaneous steel

AI weld inspection

Approach

A proven approach to robotic automation

The success of robotic automation depends on more than the technology itself. The way requirements are defined, engineering decisions are made, and systems are supported after commissioning all influence long-term operations performance.

Bringing together expertise across engineering, integration, commissioning, and support helps create solutions that perform reliably in operation.

Learn more about our approach

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''We're still learning and the team is still getting more comfortable with it, but at the end of the day we really starting to see the productivity, the benefits that we were expecting.''

Bill Monk, Vice President of Distribution at GNC

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“The first results are positive, and the team is pleased with the solution. They only need to feed the parcels into ROSI and no longer worry about them.”

Tom Hartmans, Project Lead at GLS