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Image analysis software DEEP LEARNING
phasestructural analysisvisual inspection

Image analysis software - DEEP LEARNING - MIPAR - phase / structural analysis / visual inspection
Image analysis software - DEEP LEARNING - MIPAR - phase / structural analysis / visual inspection
Image analysis software - DEEP LEARNING - MIPAR - phase / structural analysis / visual inspection - image - 2
Image analysis software - DEEP LEARNING - MIPAR - phase / structural analysis / visual inspection - image - 3
Image analysis software - DEEP LEARNING - MIPAR - phase / structural analysis / visual inspection - image - 4
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Characteristics

Function
image analysis, phase, structural analysis, visual inspection, color matching, dimensional measurement analysis, particle analysis, engineering, imaging, spectrum analysis, pixel contrast analysis, development, automation, reporting, automatic fault recognition, for stress analysis, training, porosity analysis, deep learning, interface, metrology, comparison, image comparison, quality control, for materials testing, diagnostic, process control, chromatography, for sheet metal forming, optimization, image-processing, post-processing, visualization, tracking, recovered materials, inspection, measurement, assessment, production control
Applications
measuring system, machining, process, industrial, construction, for production, for civil engineering, laboratory, for the mold industry, for Industry 4.0, for assembly lines, for airport, for chemical processes, metal machining, for trucks, X-ray image, agricultural, instrument, for displays, for the stone industry, for optical character recognition, for camera, for the healthcare sector, for factory, maritime industry, for bearings, R&D, for the aerospace industry, for structural design, power plant, for the fishing industry, concrete structure, for solar energy projects, electrode, for nuclear applications, TEM tomography, for the plastics industry, battery, packaging line, for electric vehicles, for 3D printing, color, for steel construction, for laser applications, for ink, for complex shapes, for the automotive industry, pipe, for surface inspection, for motorbike, for environmental analysis, manufacturing process engineering, for medical applications, SEM, for color control, for microscopy, for railway applications, reverse engineering, for sensors, metal framing, for building, for molding, for large parts, for packaging, for the mining industry, for the gas industry, printed circuit, for textiles, for cables, laser beam, for orthopedics, steel construction, tube, for mobile machines, for the food industry, for jewelry, for mineral processing, construction project, for laser applications, for pharmaceutical applications, for welding applications, for light measurement, food, for microscopes, for the wood industry, for electrical projects, for defect inspection, for color measurement, surveying, for bulk materials, for the packaging industry, for metrology, chemical, shoe industry, for sheet metal, for morphologic analysis, measurement inspection device, for external corrosion assesment, for car, diagnostic, for electronic components, for thermal imaging, digital tomography, for the clothing industry, for sheet metal, for tires, for solar power plants, optical, scanner, for the building industry
Type
3D, automated, 2D, collaborative, 2D/3D
Operating system
Windows, 32/64-bit Windows system
Deployment mode
off-line
Other characteristics
high-performance, all-in-one, commercial, custom-made, with AI image analysis

Description

Trace: Trace features on a few images. Even use tracing you already have. Train: A deep neural network learns how to recognize what you've traced. Apply: Run your model on a new image to detect complex features. Did you know that more and more companies are using deep learning to double check the material quality provided by suppliers? Be ahead of your customers by introducing these capabilities in house. Improve your customer satisfaction, avoid rework, while reducing the operational cost. What is Deep Learning? The aim with deep learning is to teach software to adapt to your own micrographs. Deep learning works in a presence of varying contrasts and feature texture, as well as sample preparation artefacts. As little as four images can be used to train an application specific solution. This can be done with minimum training and no programming expertise. Solve challenges you could not before

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