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 vision having the capability to scan approximately 99% of all products, your production output can move to levels that you can only imagine without it.
Reduce Waste, Increase Quality Food Output
When you are dealing with foods, your goal is to get quality products out to your distribution channels and not have any return. Imagine only quality products shipping out. Imagine not having to credit back your customers. Imagine having satisfied customers that increase their orders. Integrating machine vision powered by deep learning, imperfect products get quickly removed from production lines. Safety, track and trace, labeling, packaging, and container integrity are all inclusive when you integrate our machine vision product.
Workforce Will Not Decrease But Increase
With production increasing to unrealized levels, your company will grow in staffing needs. Your current inspection crew has the opportunity to become highly trained that can lead to increased motivation. You will most likely grow your staff with highly-skilled technicians and engineers. Your administrative staffing may need to increase to support the additional production levels and customers. For many businesses, where technology is growing their operational functions, customer service is an integral organizational function that is also increasing.
Integro Technologies Helps You Realize Production at its Finest
You no longer have to imagine. The powerful intelligence that comes with deep learning delivers the future of machine vision into your hands.
Our highly-skilled team at Integro Technologies handles the entire integration process: setup, programming, installation, training and any debugging necessary.
May your holidays be filled with joy. Contact our team to start your New Year with a new level of inspection, production, and prosperity.
Learn more about Deep Learning Applications and Functions below.
Machine Vision and Deep Learning A Machine Vision Revolution. Machine vision has become widely accepted by multiple industries as the most efficient method of detecting flaws, errors, and irregularities in manufactured goods. Certain types of inspection have been, until recently, impossible for automated systems due to the complexity and nuance required to distinguish between cosmetic […]
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 […]