What is AI image analysis software? An explanation of the differences from existing image processing software.
If you have images that haven't been successfully analyzed through binarization and are feeling discouraged, this is for you! We offer a free initial demo analysis, so please feel free to consult with us. *No limit on the number of images.
In "AIPAS," we do not use existing image processing logic centered on binarization, but instead adopt a method that automatically detects grain boundaries using Deep Learning. This method demonstrates significant effectiveness for images that cannot be resolved through binarization. Additionally, since an AI model is already built, there is no need for users to create training data or recipes, allowing for immediate analysis after implementation. 【Frequently Asked Questions】 ■ Is it necessary for users to create training data or perform other tasks? ■ I am looking at somewhat specialized objects. Is it possible to create an AI model tailored to user images? ■ Can it analyze images with nano-level particles or images with many particles aggregated? ■ Is customization available to meet user requests? ■ Is it necessary to connect to the internet or upload to the cloud? ■ Is there a cost for demo analysis? How many images can be accommodated? ■ I cannot send images externally; can I still try AIPAS? *For detailed answers to the above "Frequently Asked Questions," please download the PDF document below 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 ■ Crystal 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 image processing through binarization does not work. There are particle images that have been given up on for analysis. ■ I want to obtain quantitative data from images of aggregated particles and crystal structures. ■ Since numerical values are unstable in laser analysis, I want to obtain data close to the true values regarding particle size distribution and dispersion from images. ■ I want to easily analyze and obtain data with just a few clicks, without the need for complex threshold settings like existing image processing. ■ I 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 over 1 million 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.