Particle and Powder AI Image Analysis Software "AIPAS" Recommended PC
Applied Particle and Powder AI Image Analysis Software "AIPAS" Recommended PC
AI particle image analysis software "AIPAS" (AI ParticleAnalyzing Software) is an offline software that achieves 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 by utilizing deep learning. - Equipped with an AI model trained on approximately 600,000 particles of over 25 types - Excels in analyzing agglomerated particles, composites, sintered bodies, and crystalline particles, which are challenging for existing software - Capable of detecting and measuring primary particles that make up secondary aggregates - Features various specialized models tailored for SEM, TEM, and S-TEM images - Customizable to optimize for user images Recommended hardware configuration for a workstation that meets the specifications for comfortable operation of AIPAS.
basic information
Recommended model for AIPAS users: Equipped with the latest high-performance Intel Core Ultra 9 CPU and NVIDIA GPU.
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Applications/Examples of results
Main Uses ■ Powder material development ■ Quality inspection ■ Optimization of manufacturing processes ■ Particle shape and distribution analysis in research and development Expected Utilization Scenarios ■ Material development: Development and verification of new powder materials ■ Manufacturing process management: Particle size control and foreign matter detection ■ Quality control: Detection of defective products in the inspection process ■ Research: Functional evaluation through particle distribution and shape analysis
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Applied Corporation is a computer manufacturing company based in Hakata-ku, Fukuoka City, Fukuoka Prefecture, with 65 locations nationwide. We provide the latest business proposals, from cutting-edge computers to the implementation of DX and solutions, for corporate clients across the country.










