automotive industry, car automated industrial robots

Industrial Robot using Vision technology

There is a growing demand for vision technology.  Most of all integrated systems, including an industrial robot, depend on vision due to the adoption of the Internet of Things to increase the production.

There are specific industrial applications that require vision systems, but not all robotic systems need this technology. If you are not sure, a trustful robot integrator will help to accomplish the requirements and they will provide you with spec documentation of your needs.

Why does this matter?

It easy to answer; it will save time and money, but it’s not only that.

Robotic arm specially in the food industry need for quality inspection and automation on the daily operations of the production. Therefore, using a system that enables this technology is growing due to the introduction of Industrie 4.0. This new technology will improve the productivity of robotic automation.

New Market Tendency

Today, the food industry is using vision systems for the production process.  Furthermore, new systems and software is one of the fastest-growing segments between 2017 and 2023. By 2023, the global market is expected an annual growth rate of 7.61% from 2017.

How they do it?

Machine vision generates large amounts of image data by scanning an automated object within a parameter. Also, plant operators can mount cameras on production lines for real-time process control, product inspection and sorting and robot guidance.

The new technology enables the robotic arm to interpret their visual surroundings, which can allow them to move around, and to recognise the environment and make decisions which are not directly programmed.

Vision Software for Robotic System

Robots use pattern detection vision software to analyse data and draw conclusions based on results.

However, we believe we will start to see more of those mid and smaller size manufacturers begin to adopt and embrace this new technology to keep competitive on the market.

 

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