Technology is the road to future success for manufacturers. With new technologies like machine vision being implemented on a daily basis, the future is here. Machine vision can do more than help with automation. It can also use “deep learning” to enhance its abilities.
What Is Machine Vision?
Machine vision is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance. Images and data are captured, defects are discovered, and corrections to products can be made.
What Is Deep Learning?
With deep learning, machine vision systems learn from the data it processes. It takes the information that has been pre-tagged by manufacturers and then uses specially designed neural networks that are software based to define the parameters needed to do specific jobs. Basically, images are scanned, processed, and deemed either bad or good. The more the system sees, the more it learns to decipher the good from the bad on its own.
Blending Two Powerful Systems
While basic machine vision systems may be just fine for many factories, there are many that can benefit from combining machine vision with deep learning. Deep learning is a good choice where things out of the norm, like surface damage, need to be detected. The combination of the two can be phenomenal by decreasing waste and increasing revenue.
Technology Of the Future
Deep learning is new to machine vision and has the possibility of bringing a whole new revolution to the field of machine vision and factory automation. The areas that can be enhanced by deep learning is only now being completely explored. Contact Integro Technologies today and let us show you how machine vision and deep learning can launch your company into the future.
Learn more about Deep Learning Applications and Functions below.
Deep learning solutions help manufacturers push the limits of what’s possible with machine vision. Deep learning technology gives manufacturing equipment the ability to recognize images and perceive environments in new ways. deep learning-based vision algorithms can now solve factory floor applications that once took months to develop. These include applications that are too complicated to […]
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 […]