Machine vision

Automated visual recognition

  • Fast and accurate visual identification

  • Distinguishes images, objects, texts, and also faces

  • Readable data is instantly digitalised

What is machine vision?

Machine vision is a field of machine learning where computers are trained to interpret and understand the visual world. Using digital images, videos, and deep learning models, machines can learn to accurately identify and classify objects. This allows them to respond to the data they ‘see’.

Image recognition

Enables to identify objects, locations, people, text, and processes from an image or video and classify them.

Facial recognition

Biometric authentication is faster and more convenient than conventional access cards

Object recognition

The parameters of the object and their compliance are analysed, including defects, dimensions, position, and quantity.

OCR

Detects text from images, helping to eliminate manual errors and save time during data entry.

Application of machine vision in manufacturing

How does machine vision help improve manufacturing quality and efficiency?

Machine vision systems use hardware (cameras, optics, and computers) and software (algorithms and machine learning) to perform inspection activities and measurements in production systems.

Simpler machine vision applications differentiate shapes, colours, and positions to find defects, categorise objects, and control automated processes. More advanced systems can detect flaws and defects that may not be immediately visible to the human eye.

Quality control processes

Faster and more accurate

Optimised manufacturing process

More resource-efficient and effective

Practical application of AI

To make manufacturing processes more efficient

Increased production capacity

Due to the increase in efficiency

In manufacturing companies, machine vision systems are used to optimise production processes – for quality control, sorting, and assisting with robotic production. The machine vision system can often replace manual control mechanisms because it can instantly provide accurate and consistent quality, which is difficult to achieve with manual inspection.

Automating quality control significantly saves time on inspections, while also reducing human errors and maintaining consistently high product quality. The accuracy of machine vision systems helps to elevate manufacturing to a level where defective parts do not leave the production line (and high-quality products are not mistakenly considered defective), improving quality and lowering production costs.

Practical applications of machine vision

Automated inventory

The biggest problem with inventory management is the time spent on identifying inventory units and manually entering them. Machine vision’s object detection function allows this process to be automated and optimised.

Warehouse management

Thanks to machine vision’s ability to detect object parameters, it can be used in warehouse management to track the movement of items from one position to another. For example, by combining machine vision with RFID gates, a complete warehouse management system with real-time updated data can be created.

Biometric identification

Biometric authentication is faster, more convenient, and more secure than access cards. In this way, machine vision facial recognition can quickly grant access to a manufacturing plant or another building with limited access.

Quality control

Machine vision is far more capable than the human eye and can detect and identify quality issues that are not visible to the human eye – such as stress in glass panels, microscopic cracks, etc.

Contact us

With the help of machine vision technology, we create complete solutions for production management, quality monitoring, and monitoring of goods and inventory.

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  • +372 52 43 448

  • Keemia 4, Tallinn

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