Image analysis software - Company Ranking(6 companyies in total)

Last Updated： Aggregation Period:Jul 23, 2025〜Aug 19, 2025
This ranking is based on the number of page views on our site.

Company Name Featured Products
Product Image, Product Name, Price Range overview Application/Performance example
BLUE TAG BLUE TAG
Particle and Powder AI Image Analysis Software 'AIPAS'
Particle and Powder AI Image Analysis Software 'AIPAS'

1 million yen-5 million yen

 【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. 【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.
Image analysis of metal surface structures using AI particle image analysis software AIPAS.
Image analysis of metal surface structures using AI particle image analysis software AIPAS.

1 million yen-5 million yen

 【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. 【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 with 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 complex threshold settings like existing image processing. ■ I want to analyze without creating training data or AI models. ■ Offline software is preferable. *For more details, please download the PDF or feel free to contact us.
Image analysis of ink and pigment particles is performed using the particle image analysis software AIPAS.
Image analysis of ink and pigment particles is performed using the particle image analysis software AIPAS.

1 million yen-5 million yen

 【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. 【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 easily analyze and obtain data 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.
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  1. BLUE TAG BLUE TAG
    Featured Products
    Particle and Powder AI Image Analysis Software 'AIPAS'Particle and Powder AI Image Analysis Software 'AIPAS'
    overview
    【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.
    Application/Performance example
    【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.
    Image analysis of metal surface structures using AI particle image analysis software AIPAS.Image analysis of metal surface structures using AI particle image analysis software AIPAS.
    overview
    【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.
    Application/Performance example
    【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 with 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 complex threshold settings like existing image processing. ■ I want to analyze without creating training data or AI models. ■ Offline software is preferable. *For more details, please download the PDF or feel free to contact us.
    Image analysis of ink and pigment particles is performed using the particle image analysis software AIPAS.Image analysis of ink and pigment particles is performed using the particle image analysis software AIPAS.
    overview
    【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.
    Application/Performance example
    【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 easily analyze and obtain data 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.
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