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Artificial Vision – Imaging beyond the factory floor

14 Jan 2021 | Reading time: 2 min

Machine vision systems have been a prominent part of industrial automation processes for decades. They inspect production operations to ensure everything meets predefined guidelines, assist with guidance on automated manufacturing processes and check the quality of manufactured products.

They can even improve the production quality and efficiency by continuously monitoring operations and identifying weak points. Once the products have been manufactured or produced they can grade them.

We’ve used machine vision in countless applications where its function is to assist with manufacturing products or growing/harvesting produce.

Examples
MACHINE VISION

Gap and flush measurement in the automotive sector

Robotic guidance on assembly operations in factory automation

OCR and 2D code reading in print and packaging

Visual display confirmations in test and measurement

Visual display confirmations in test and measurement

Seal inspection in food and beverage

Component presence detection in electronics

Harvesting and packaging of agricultural products

We’re still working on lots of applications in those areas, but recently, we’ve seen an increase in the use of computer vision in applications that don’t necessarily produce anything.

All of the systems and technologies that were originally developed for the industrial sector are increasingly being used for non-industrial applications. These can include things like diagnostic imaging, image analysis, monitoring, data collection, recording, traffic ITS, track and trace, sports analysis, 3D tracking for cinematography, and medical analysis.

One of the main reasons for growth and the increased interest in machine vision could be that the performance of the technologies has dramatically improved while the prices have fallen considerably over the last few years, making it a lot more accessible – this enables us to work in new markets to help improve their growth potential.

 
To us, ‘Artificial Vision’ is the comprehensive term for all applications that reach beyond manufacturing and have nothing to do with the inspection and automation used in the production of products or goods. The fields of application are enormous and include the implementation of vision systems in areas such as sports and entertainment, traffic engineering, Smart Cities as well as transportation and logistics.

This definition also covers applications in food and agriculture, as well as in medical diagnostics technology. In these growth markets, we see vision technology providing a particularly promising opportunity to solve completely new tasks in the future.
Mark Williamson, Director of Corporate Marketing, STEMMER IMAGING

Examples
ARTIFICIAL VISION

Goal line technology and high-speed imaging in sports and entertainment

Goal line technology and high-speed imaging in sports and entertainment

Identifying weeds and mapping crops for food and agriculture

Speed cameras in traffic and surveillance

Automated vehicles in transport and logistics

Diagnostic imaging in medical and life science

Looking for advice?

If you have any questions regarding your future projects, you can always contact our experts at STEMMER IMAGING. Of course, we also offer a wide range of cameras, optics, illumination and software for your individual machine vision solution.