Integrated machine vision is an innovative technology that has recently become increasingly used in industrial applications. It combines advanced image processing methods with advanced machine learning algorithms to automatically recognize, classify and identify various objects and features in real time.
Our technology is widely used in applications such as:
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Automotive
Wide application especially in manufacturing and quality control processes. For example, for the recognition of defects and defects on the surface of car bodies or for quality control of welds and joints. Another application is in the automation of assembly lines, where integrated machine vision can be used to control robots and monitor production processes. |
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Engineering
A wide range of applications, especially in manufacturing and quality control processes. Due to its ability to detect and recognize different objects and features, it can be used for automatic monitoring and control of production processes, such as checking dimensions, geometry and surface quality. Integrated machine vision also enables the rapid identification and recognition of defects and defects, leading to timely repair and reduced production costs. Other applications include machine inspection and calibration, monitoring welding processes, or tool and mould making. |
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Plastics
Mainly used in plastic injection moulding processes. Due to its ability to monitor and control processes in real time, it can be used to detect defects and deficiencies in the production process, such as missing material or product deformation. It can also be used to identify individual products and track their movement on the production line.
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Electrical Engineering
In the field of electrical engineering, integrated machine vision has particular applications in the assembly and testing processes of electronic components and printed circuit boards. Thanks to its ability to detect and identify different types of components and to monitor assembly processes, it can be used to automate production lines and improve process efficiency and quality. Another application is in inspection and testing processes, where integrated machine vision can be used to check the correct placement of components or to detect defects and faults in electronic components. |
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Pharmacy
In the pharmaceutical industry, integrated machine vision has particular applications in drug inspection and packaging processes. With its ability to detect and recognize different types of drugs and monitor packaging processes, it can be used to automate production lines and improve process efficiency and quality. Another application is in inspection processes, where integrated machine vision can be used to check the correct placement of drugs or to detect defects and errors in pharmaceutical products. Thus, integrated machine vision contributes to the safety and reliability of drug production and enables the reduction of human error. |
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Rubber
Integrated machine vision in the rubber industry has a wide range of applications, including inspection processes in the production of tyres, rubber hoses and other rubber products. With its ability to detect and identify various defects such as bubbles, cracks or unevenness, it can be used for product quality control and for automating production processes. The integrated machine vision also enables the monitoring of rubber compound vulcanisation processes and the provision of optimal production conditions. It is also used to analyse the texture, colour and dimensions of rubber products, and to monitor plant growth and development in the agricultural sector, where rubber materials are used, for example, to make irrigation hoses. |
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Grocery
Integrated machine vision is widely used in the food industry for food quality control and monitoring of production processes. Due to its ability to detect impurities, foreign objects, injuries or defective food parts, it can be used for product quality control and to minimize risks to consumers. Integrated machine vision is also used to monitor and control the food sorting, packaging and labelling processes, enabling increased efficiency and speed of production. Another application is the analysis of the composition and nutritional value of foods, allowing manufacturers to optimise production processes and improve recipes.
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Aviation
Integrated machine vision has a wide range of applications in the aerospace industry in the control and monitoring of production processes, quality control, maintenance and aircraft safety. Thanks to its ability to detect and identify various types of defects such as cracks, holes, deformations or breaks, it can be used for quality control and minimising risks to aircraft safety. Integrated machine vision is also used to monitor the production and assembly of aircraft, enabling increased efficiency and speed of production. Another application is in aircraft maintenance, where it enables quick and accurate diagnosis of potential problems and defects. |
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Manufacture of toys
Integrated machine vision is also used in the toy industry. In this field it is often used for inspection of toys during production and quality control. For example, camera systems can detect defects such as cracks, deformations, colour flaws or missing parts quickly and accurately.The advantage of integrated machine vision in toy manufacturing is that it enables very fast and reliable quality control. This can significantly reduce the risk of defective products and improve overall production quality. At the same time, it allows time and cost savings compared to manual inspection.Another application of integrated machine vision in toy manufacturing is, for example, production process monitoring. For example, the systems can monitor whether parts are being sized correctly or whether the correct assembly process is being followed. This allows errors in the production process to be quickly detected and corrected. |
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Logistics
Integrated machine vision also has a wide range of applications in the field of logistics. In this industry, it is often used to track the movement of goods and control their quality. For example, the systems can detect damaged goods or missing labels and quickly identify them.The advantage of integrated machine vision in logistics is that it enables efficient tracking of goods and reduces the risk of goods being lost or damaged during transport. This leads to increased efficiency and productivity in logistics processes.Another application of integrated machine vision in logistics is, for example, the automation of warehouse processes. The systems can quickly and accurately identify and locate goods in warehouses to facilitate their management and handling. This enables a reduction in warehousing costs and an increase in the speed and efficiency of processes.
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Integrated machine vision can significantly improve production processes, increase accuracy and efficiency, and reduce human labour costs.
5 advantages of using integrated machine vision in different application areas:
- Accuracy: Integrated machine vision can detect, measure and recognize objects very accurately, reducing errors and improving output quality.
- Speed: Integrated machine vision systems are able to process image data very quickly, enabling high process speed and efficiency.
- Repeatability: integrated machine vision is able to perform tasks repeatedly and with high accuracy, improving the quality and consistency of results.
- Cost reduction: integrated machine vision can reduce labour costs, improve space utilisation and reduce repair and maintenance costs.
- Flexibility: integrated machine vision systems can be used in a variety of applications and can be easily adapted to different tasks and needs, increasing flexibility and application possibilities.
