Time and Money Saved from Machine Vision and Deep Learning
Critical Inspections Beyond Human Capabilities
We all know how crucial machine vision inspections are to every type of manufacturing business in our worldwide market. Competition is too high to allow defective parts and products to hit the shelves to consumers. Not to mention the legality of any product that causes harm due to a defect. Today’s advanced technology through AI’s higher intelligence known as deep learning gives you the means to quickly identify parts and products that are not perfectly ready for use or sale. A solution can be discovered in as little time as a millisecond. As you may already know, it is a deep learning revolution.
Introducing Cognex ViDi Suite
The first ready-to-use deep learning-based software, Cognex ViDi Suite, will save your industry time and money. No longer are manufacturing inspections too complicated with time wasted on the most minute problem causing even the slightest defects. Through the Cognex ViDi Suite, images are used to teach the software everything it needs to know. “Over one billion images” can be processed in a day.
Images that target a single part or multiple features are used to localize and identify complex details.
Images of good objects are used to detect qualitative defects.
Images assigned to and labeled that are consistent with the different classes for classification and identification.
Time is money. The speed and ease of set-up and operation of the Cognex software are just two of its valuable features. The system learns as a human would, but the learning curve is beyond human capabilities to quickly break down every detail of a part or product, identify a problem, and come up with a solution.
Design and Integration through Integro Technologies
The Integro Tech Team will design and integrate a world-leading software solution to advance your company’s machine vision inspection process. We have combined a worldwide team offering the best in machine vision integration with years of industrial experience. We work with industries across the globe, and we have the workforce to work one-on-one with our clients to identify their objectives and their production requirements.
Let Integro Technologies increase your machine vision inspection capabilities with deep learning. Your company will quickly realize the savings of time and money. Call us to learn more about the benefits of software like Cognex ViDi Suite.
Learn more about Deep Learning Applications and Functions below.
Increase Food Inspection and Production Levels with Advanced Machine Vision AI’s higher intelligence is like having Superman join your quality inspection team. Imagine having the capability to scan 1,000 parts per minute! Machine vision equipped with deep learning can accomplish this task. That breaks down to inspecting one part in approximately six milliseconds. With machine […]
Time and Money Saved from Machine Vision and Deep Learning Critical Inspections Beyond Human Capabilities We all know how crucial machine vision inspections are to every type of manufacturing business in our worldwide market. Competition is too high to allow defective parts and products to hit the shelves to consumers. Not to mention the legality […]
Artificial intelligence (or AI) has seen a recent surge in use across a wide variety of industries. One type of AI currently being used in image processing is called Deep Learning. Deep learning algorithms use neural networking to process enormous data sets in order to carry out a desired task. The applications of deep learning […]
Deep learning is currently being used in the automotive industry for a number of inspection applications. Most manufacturers have large databases of past material that can easily be used by deep learning algorithms for initial learning. Once the algorithm has been learned, it can be maintained and adjusted over time, just like any other piece […]
Machine Vision and Deep Learning Deep learning is becoming a commonly heard word in business, science and programming circles. However, the concept is still quite new to many people. This important type of algorithm is a subset of machine learning. It uses neural networks and pattern recognition to develop deep insights that would ordinarily be […]
Machine Vision and Deep Learning Artificial intelligence, or AI, has seen a recent surge in use across a wide variety of industries. Anyone who has used Google or Amazon has been subject to one of the more popular uses of AI in the customized advertising. Another popular use of AI is image processing, which has […]
CHALLENGES IN PAD PRINTING INSPECTION Multi-step tampography can lead to considerable but tolerable relative shifts (registration problem) Varying quantities of ink applied results in fonts or lines that are thicker/thinner in appearance Random texture of substrate, like brushed or otherwise decorated metal With Cognex ViDi Suite, the automated aesthetic inspection of complex pad printing […]
CHALLENGES IN MACHINED PART INSPECTION Typically there are many different types of complex shapes Varying surface properties depending on machining tool quality and varying properties of the blank material need to be tolerated Some defects only show under a very particular combination of illumination, camera and surface orientation With ViDi Suite, the automated visual inspection […]
Update: ViDi is now owned and operated by Cognex Corporation Integro Technologies, a premier machine vision integrator, announces its partnership with ViDi Systems SA, an innovative software firm in Switzerland. ViDi is revolutionizing the industry by commercializing the first Deep Learning-based image analysis solution dedicated to the machine vision market. ViDi recently designed and developed […]
CHALLENGES IN AUTOMATIC DETECTION Typical defects like hits, scratches or stains are often hardly discernible at the early production stages because of the parts’ rough and strongly textured surfaces. Normal variations and non-significant anomalies in the material need to be tolerated. Stains & hits often manifest themselves by a local change in contrast caused by […]