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 tremendous effectiveness for images that cannot be resolved through binarization. Additionally, since an AI model has been constructed, there is no need for users to create training data or recipes, allowing for immediate use in analysis after implementation. 【Frequently Asked Questions】 ■ Is it necessary for users to perform tasks such as creating training data? ■ 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.
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 we have given up analyzing. ■ We want to obtain quantitative data from images of aggregated particles and crystal structures. ■ Since 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 easily analyze and obtain data with just a few clicks, without 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.
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Notice of Participation in "BATTERY JAPAN International Secondary Battery Exhibition" from February 19 (Wednesday) to February 21 (Friday), 2025.
BLUE TAG Co., Ltd. will be exhibiting at the 'BATTERY JAPAN Secondary Battery Exhibition' held at Tokyo Big Sight. This exhibition has established itself in the industry as a venue where various technologies, components, materials, and equipment necessary for the research, development, and manufacturing of secondary batteries are showcased, attracting experts from around the world. We plan to showcase our AI particle image analysis software "AIPAS," which achieves high-precision detection and classification of individual particles and powders, as well as accurate measurements, using Deep Learning to analyze particle and powder images that were difficult to analyze with conventional image processing. We sincerely look forward to your visit.
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Notice of participation in the "High-Performance Material Week Sustainable Material Exhibition" from May 14 (Wednesday) to May 16 (Friday), 2025.
BLUE TAG Co., Ltd. will be exhibiting at the "High-Performance Materials Week Sustainable Materials Exhibition" held at Intex Osaka. This exhibition is a comprehensive materials exhibition aimed at achieving a circular economy and a decarbonized society. We plan to showcase our AI particle image analysis software "AIPAS," which utilizes Deep Learning to achieve high-precision detection and classification of individual particles and powders, as well as accurate measurements for particle and powder images that are difficult to analyze with conventional image processing. We sincerely look forward to your visit.
