What is artificial vision?

Author: E2M Couth
February 15, 2024

In industry, where technology and automation are taking on ever greater importance, artificial vision is a term that is taking on considerable impetus. This fascinating area of artificial intelligence combines engineering, IT, and optics, and is revolutionising the way industries operate and make decisions. From the food sector to pharmaceutical production, artificial vision has become an essential foundation to guarantee quality, precision, and efficiency.

But what is artificial vision, exactly? Often considered the eyes of artificial intelligence, this technology imitates human capacity to see and understand the environment. By using cameras, sensors, and sophisticated algorithms, artificial vision not only “sees,” but also interprets and makes decisions based on what it observes.

From improving product quality to increasing efficiency on production lines, artificial vision is a true before and after in the world of industry. With applications that range from product inspection on an assembly line to automatic food classification, this technology is establishing new standards for excellence in multiple different fields.

Applying the vision systems we have at E2M COUTH provides a series of benefits to boost the production chains at companies in many different sectors. In this post, we provide an in-depth explanation of what artificial vision is, how it works, and its transformative impact on different industries.

What is artificial vision?

Artificial vision is a branch of technology that allows machines to see, interpret, and react to the visual world around them. It works by capturing images through cameras and sensors, which it then processes with sophisticated algorithms to analyse and understand them.

This technology combines aspects of artificial intelligence, automatic learning, optics, and IT to create systems capable of conducting several complex visual tasks that used to require human action.

Key Components of Artificial Vision

These are the key components of artificial vision systems:

  1. Image capture: By using cameras and sensors, artificial vision systems capture images of their surroundings. These images can range from simple photographs to complex 3D representations.
  2. Image processing and analysis: After capturing them, the images are processed and analysed with advanced algorithms. This stage involves detecting patterns, recognising objects, classification, and measurement.
  3. Interpretation and action: The final phase is interpretation of the data analysed and decision-making based on this information. This can include actions like classifying products or identifying defects

Technologies Involved in Artificial Vision

The following technologies are also involved:

  • Artificial intelligence and automatic learning: These technologies are fundamental for artificial vision because they allow the systems to learn from the visual data and improve their ability to interpret over time.
  • Optics and sensors: The quality of the images the systems capture largely depends on the optics and the sensors they use, which determine the precision and efficacy of the artificial vision system.
  • Image processing software: The software used to process and analyse images is essential for the effectiveness of the artificial vision systems. This software must be capable of handling large volumes of data and conducting complex analyses in real time.

Artificial vision is the driver of digital transformation in many industries, providing innovative solutions to improve the quality, efficiency, and safety of production processes.

Applications of Artificial Vision in Different Industries

Artificial vision has become a very valuable tool in a variety of industries, revolutionising processes and improving results. Let’s see how this technology is applied to different sectors:

Beverage industry

In the beverage industry, artificial vision plays an essential role in quality inspection. From fill and label verification for bottles to detection of impurities and defects, this technology guarantees that each product meets the most stringent quality standards. For example, E2M COUTH offers solutions like Contourvision for label inspection, guaranteeing that every bottle’s appearance is perfect.


Food industry

Artificial vision is fundamental to classify food and for food quality. This technology detects defects, classifies products by shape and size, and guarantees that the food meets food safety regulations. Solutions like Visiolabel provide detailed inspection of labels on food containers.

Chemical Industry

Precision is vital in the chemical industry, where artificial vision helps with container inspection and to detect contaminants. Systems like InspectLevel RF inspect the fill level of non-translucent containers, a crucial aspect to guarantee the safety and compliance of chemical products.

Pharmaceuticals and cosmetics

With pharmaceuticals and cosmetics, artificial vision ensures that the products meet strict quality and safety standards. From inspecting vials and blisters to verifying that cosmetic products are properly labelled and sealed, technologies like Visiolevel to inspect containers and Contourcap to inspect caps, are essential for keeping the highest quality standards in production.

General Industry

Beyond these specific sectors, artificial vision can be applied to general industry, from automation of production lines to quality control in assembly of components. Personalised artificial vision solutions help to optimise processes and improve efficiency in a wide range of industrial applications.

In each one of these sectors, E2M COUTH’s artificial vision provides added value, improving the efficiency, precision, and safety of products. The flexibility and ability to adapt of these technologies makes them indispensable in the world of industry today.

Benefits of Artificial Vision in Automation and Quality Control

Implementing artificial vision in industrial automation and quality control provides several benefits that transform production processes. These are some of the most noteworthy aspects:

Improved Precision and Quality

Artificial vision systems identify defects with much greater precision that human inspection, which significantly reduces error rates and improves the product’s general quality.

Moreover, by standardising inspection and quality control, these systems ensure noteworthy consistency in production, without variations in volume or unnecessary stops due to errors on the chain. This is a critical aspect for maintaining customer trust.

Increased Efficiency and Productivity

Artificial vision automates repetitive and meticulous tasks, thereby freeing up human resources for tasks that require more in-depth intervention and analysis.

By streamlining the inspection and quality control process, these systems increase production speed, which translates to greater output and operational efficiency.

Reduced Costs and Waste

When we apply these systems to the production chain, the ability to quickly detect and correct errors increases exponentially. Thus, artificial vision reduces wasted materials and products, contributing to more sustainable and profitable production.

A natural consequence of automation and improved efficiency is a reduction in operative costs, which leads to a faster and more effective return on investment.

Regulatory Compliance and Increased Safety

Artificial vision systems help to comply with regulations and industry standards. For example, by eliminating labelling or fill errors, you avoid legal consequences like fines or client suits, thereby maintaining the brand’s integrity.

Additionally, when you reduce the need for human action in potentially hazardous processes, you also improve workplace safety.

Flexibility and Adaptability

E2M COUTH offers artificial vision systems that adapt to the specific needs of each industry and business application.

These systems can adapt and evolve as technology moves forward, guaranteeing that companies remain competitive and at the cutting edge of technology.

In short, artificial vision not only optimises efficiency and quality in production, but also plays a crucial role in improve safety, sustainability, and competitiveness on the global market.


What is the Future of Artificial Vision?

The field of artificial vision is constantly evolving, with new trends and technological progress that shape its future. Here, we explore some of the emerging trends and how they could influence this technology’s development:

Integration of Artificial Intelligence and Automatic Learning

Combining artificial vision with AI and automatic learning provides a deeper and more complex analysis improving capacity for recognition and decision-making.

This integration leads to smarter automation, where systems can learn and adapt to variations in the production process. This opens up possibilities for integration into several different industries.

Improved Processing Resolution and Speed

Progress in lens and processing software technologies has led to the development of higher-resolution cameras, improving precision in the detection of defects, even with minute details.

With developments in hardware, artificial vision systems can process images at higher speeds, which is essential on fast production lines.

Applications to New Sectors

As mentioned before, artificial vision is spreading to new sectors like agriculture, health, and transport, providing innovative solutions for unique challenges in these fields. Right now, it is better adapted to specific containers, but it will soon be able to adapt to diverse shapes, thereby opening up endless possibilities.

E2M COUTH is at the cutting edge, providing personalised solutions that adapt to the specific needs of these new markets.

Greater Connectivity and Data Analysis

Integrating artificial vision with the Internet of Things (IoT) and big data analysis provides for more efficient data collection and analysis, improving decision-making and process optimisation.

The ability to connect artificial vision systems to other technologies and platforms increases their efficacy and applicability. This facilitates internal inventory control and production chains for companies.

Development of New Interfaces and User Experiences

Greater emphasis is being placed on developing friendlier and more accessible user interfaces, which makes it easier to operate and integrate these systems into industrial settings.

With improvements to the software and the interface, the user experience becomes more efficient and productive and the artificial vision systems are easier to use.

These trends speak of a promising future for artificial vision, with technological progress that will continue to transform how industries operate and improve their production and quality control processes.

E2M COUTH, Specialists in Artificial Vision Systems

As explored earlier, artificial vision is a revolutionary technology with unlimited potential in innovative solutions for quality control on production chains in several different industries.

If you are interested in discovering how artificial vision can transform you production process, increase efficiency and guarantee the utmost quality, please explore the innovative solutions we offer.

E2M COUTH is specialised in providing artificial vision systems. We adapt to your industry’s specific needs, whether this be the pharmaceutical, food, beverage, or chemical sector, or any other industrial field. Our team is experts is here to guide and help you to integrate the best artificial vision solutions into your production processes.

Don’t wait any longer to take the step toward smart automation and quality optimisation. Also, if you would like to learn more about our artificial vision systems please, contact us and we will be delighted to help you.

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