Deep learning-based image processing for fast and reliable answers to highly complex questions
Deep Learning is a subfield of Artificial Intelligence (AI). It is based on artificial neural networks (ANN), which are modeled on the human brain. Deep Learning algorithms are trained on large amounts of data and used to recognize and classify structured and unstructured information and patterns. This includes, for example, texts, images, speech and sounds.
Deep Learning based algorithms are to be learned by example and gradually optimize their capabilities. As with human learning, this depends on the wealth of experience. The more data and examples the Deep Learning algorithm has available, the better it becomes.
Advantages of Deep Learning in Machine Vision Applications
Conventional image processing systems are based on programmed, rule-based algorithms. They are capable of performing verification and classification tasks in an automated and repeatable manner that are predictable and thus essentially pre-programmed. However, when unexpected errors or irregularities arise that deviate from the program, or in the case of more complex multivariable testing tasks, traditional image processing reaches its limits. For instance, it cannot distinguish between purely external, tolerable appearance defects and functional defects.
Deep learning-based image processing provides a solution: It is versatile and can distinguish between acceptable deviations and natural fluctuations in similar parts and patterns as well as in complex environments. The algorithm continuously evolves based on new examples without the need for reprogramming the core algorithm.
Whether it’s verification tasks in final assembly, checking foodstuffs, or classifying materials and demanding OCR tasks: deep learning-based image processing is the optimal solution for large deviations, significant deformations, high feature variance, and challenging imaging environments. Through deep learning, the efficiency and accuracy of image processing solutions are significantly improved.
Advantages of Deep Learning:
Deep Learning technology from leading manufacturers: user-friendly, precise and highly efficient
Deep learning technologies have long been user-friendly, intuitive, easy to train, and do not require extensive expertise and time-consuming programming.
HALCON from MVTec – Comprehensive standard software for industrial image processing
HALCON is MVTec’s comprehensive standard software for industrial image processing, used in a wide range of industries worldwide. With its own integrated and highly interactive development environment, called HDevelop, HALCON is specifically tailored to the development of machine vision solutions. The software offers a wide range of applications covering the entire workflow of a machine vision application and has been proven in hundreds of thousands of installations worldwide.
HALCON is used in a variety of industries, including automation, logistics, food processing, automotive, medical and pharmaceutical. It provides exceptional performance in all areas of machine vision, including alignment, calibration, completeness checking, identification, inspection, measurement, comparison, and object and position detection. In addition, HALCON supports advanced image processing technologies such as 3D vision and deep learning algorithms.
MERLIC from MVTec – Intuitive image processing software
MERLIC is another powerful image processing software from MVTec. It is characterized by its user-friendliness and intuitiveness and enables even inexperienced users without programming knowledge to configure inspection routines quickly and easily. MERLIC offers a graphical user interface with intuitive operating concepts such as “easyTouch”, which enables an efficient workflow as well as time and cost savings.
MERLIC is ideal for a wide range of machine vision applications, including quality control, inspection, identification, measurement, monitoring and more. The intuitive user interface enables companies to quickly respond to changing requirements and efficiently develop customized machine vision solutions.
VIDI from Cognex – A powerful Deep Learning tool
As a leading provider of machine vision systems, Cognex offers the advanced Deep Learning Tool “VIDI”. VIDI was developed and optimized specifically for factory automation requirements. It uses powerful AI algorithms to automate and scale complex tasks such as part localization, assembly verification, defect detection, classification, and character recognition.
VIDI enables users to easily integrate Deep Learning into their existing machine vision systems without sacrificing performance. The graphical user interface facilitates neural network training and enables efficient adaptation to different industry requirements.
With the ability to detect even complex defects and patterns, VIDI revolutionizes quality control and defect detection in production lines. Our customers benefit from higher accuracy, faster inspection times and reduced downtime.
VIDI image processing tools
Cognex’s VIDI deep learning tool is a powerful collection of machine vision tools specialized to solve different tasks. VIDI tools share a common engine but differ in their focus, analyzing single points, individual regions or complete images.
Rule-based image processing or deep learning technology? It depends on the use case.
In many cases, vision systems based on conventional as well as Deep Learning-based software can be used complementarily and complement each other excellently. While rule-based vision systems are better at measurement tasks, identifying and reading uniquely recognizable barcodes, and robot guidance, Deep Learning creates completely new application possibilities for industrial automation that were not technically possible before.