Equipped with a high-precision AI model trained on over 700,000 particles. Software that enables precise individual detection and measurement of particles and powders that cannot be analyzed through binarization.
"AIPAS" (AI Particle Analyzing Software) is an AI particle analysis software designed for users struggling with particle image analysis obtained from electron microscopes and optical microscopes. By utilizing Deep Learning, it has achieved high-precision individual particle and powder detection, classification, and measurement from particle and powder images that were difficult to analyze with conventional image processing. If you are having trouble with electron microscope images or the analysis and measurement of densely packed particle image data, please consider using this software to solve your business challenges. 【Features】 ■ Equipped with an AI model trained on approximately 700,000 particles and over 25 types ■ Automatically and accurately recognizes the boundaries of aggregated and closely packed particles ■ Enables high-precision analysis of secondary aggregated particles, sintered bodies, crystalline particles, and metallic crystal structures, which are difficult to analyze with existing image processing ■ Customizable to optimize for user images ■ Additional training based on AIPAS can be performed by users * We offer free demo analysis. After the demo analysis, we also provide a demo license for borrowing. We would be happy to hear from you. * For more details, please download the PDF or feel free to contact us.
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basic information
【Target Particles and Powder Examples】 ■ Particles for electronic materials (MLCC, separators, etc.) ■ Battery material particles (cathode materials, anode materials, electrolytes, etc.) ■ Ceramic particles and sintered bodies ■ Metal and non-metal powders (silver, copper, zinc, nickel, etc.) ■ Metal surfaces, sintered alloys ■ Crystalline particles ■ Inorganic particles and resin material particles ■ Ink and pigment particles ■ Semiconductor-related material particles ■ Pharmaceutical-related powders (active ingredients, additives, excipients, etc.) ■ Cosmetic materials (emulsifying particles, etc.), dental material particles, etc. *For more details, please download the PDF or feel free to contact us.
Price range
P5
Delivery Time
P4
Applications/Examples of results
【For such requests】 ■ There are objects for which binarization-based image processing does not work. There are particle images that we have given up analyzing. ■ We want to obtain quantitative data from images of aggregated particles and crystal structures. ■ Since the numerical values from laser analysis are unstable, we want to obtain data close to the true values regarding particle size distribution and dispersion from images. ■ We want to perform analysis and data acquisition easily with just a few clicks, without the need for complex threshold settings like existing image processing. ■ We want to analyze without creating training data or AI models. ■ Offline software is preferred. *For more details, please download the PDF or feel free to contact us.
Detailed information
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■ Equipped with AI trained on 700,000 data points ■ Image analysis with one click, no binarization needed! ■ Analysis of agglomerated particles, crystalline particles, and sintered bodies is also possible! ■ Customization is available!
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Our company specializes in the development of image analysis software utilizing AI. We have an overwhelming strength in micro-level image analysis, and our particle and powder image AI analysis software "AIPAS" has been adopted by over 20 companies, including major automotive manufacturers, energy companies, electronic component manufacturers, and material manufacturers, within less than a year of its release. Our greatest strength lies in our ability to understand the challenges faced by users regarding difficult image analysis problems that have not been solved until now, and to provide truly usable solutions that can also address the unique challenges of individual companies. If you have micro image analysis challenges that can be applied in the field, please feel free to consult with us.