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In an economic environment as globalised and competitive as the current one, process automation has become a key factor in optimising production and meet the growing demand at increasingly smaller time intervals. For this reason, state-of-the-art production plants require advanced technological solutions to automate their production processes.

In Orbita Ingenieria we have solutions implemented with different types of technologies that meet the needs in the industrial automation of our customers.

Handling and palletisation cells

Today the production industry needs to automate product handling and prevent people from performing such tasks to increase productivity, improve product quality and uniformity, reduce human error (shrinkage), eliminate ergonomic problems, improve product traceability and save productive space.

Robotised cells

In an increasingly automated environment, the market is constantly demanding the robotisation of repetitive tasks. Robotic cells are the present and future of our factories. Defining which tasks can be automated and how, this is a vital task in today’s progress.

Automated screw driving

Today industrial assembly lines need to automate screw driving of elements that people have performed to date. The main objectives are to increase productivity, improve efficiency, reduce human error and eliminate ergonomic problems.

Robotised cells with 2D/3D guidance

In process automation, to allow the adaptation of the same to productive processes that do not present a repeatability of locating components at the work points. It is necessary to provide the automatic system with dynamic and reliable correction systems. Given the current capabilities of image acquisition and image processing systems, artificial vision guidance is currently one of the most suitable technical solutions in many processes and applications.

2D/3D Guidance

The Orbita Ingenieria robotic guidance systems, together with the OS3D range of sensors, are designed to ensure the robotic systems a correct approach and collection of parts which position is not stable. These parts can be presented on a cart or transport that is not accurate, thus avoiding the use of centring systems. The system extracts three-dimensional information from 2D images obtained by one or more sensors, as needed.


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