KRI List of Products and Services

Our company is challenging the "visualization of sensibility" by combining the sensing and analysis technologies we have cultivated so far with AI analysis and machine learning. Sensibilities such as deliciousness, comfort, and pleasantness arise from information transmitted from the body to the brain and processed, making it difficult to understand others' sensibilities. It is convenient to express them in numbers that anyone can understand. We approach the "visualization of sensibility" through sensing and analysis technologies such as equipment analysis and MEMS sensing, as well as AI analysis and machine learning developed for various simulations and material development. [Future Developments and Suggestions (Partial)] <Data Acquisition Stage> - Selection of sensing methods suitable for the sensibility to be visualized - Arraying and manufacturing the necessary sensors - Collecting high-quality sensing data *For more details, please refer to the PDF document or feel free to contact us.

At KRI, we propose the development of sensing technologies that closely resemble human senses by combining our proprietary sensing technologies. Humans use their five senses (sight, hearing, smell, taste, and touch) to make comprehensive judgments about things. By combining various unique sensing technologies held by the Material Fabrication Laboratory, we aim to acquire information that is close to human senses. 【Examples of Sensing Technologies】 ■ Tactile/Pressure Sensors ■ Odor Sensors ■ Flow Sensors (Body Hair Type Sensors) ■ Temperature Sensors ■ Non-contact Temperature Sensing *For more details, please refer to the PDF document or feel free to contact us.

We conduct durability evaluations using our original accelerated testing method for plastics. We investigate the durability of polymer materials such as plastics using original testing and analysis techniques. This enables the exploration of materials suitable for cost reduction and improved reliability. Please feel free to contact us when you need assistance. [Proposal for Original Durability Testing] ■ Estimate mechanisms according to the usage environment ■ Suggest appropriate accelerated testing conditions *For more details, please refer to the PDF document or feel free to contact us.

We conduct searches for conditions that have affected performance through data analysis. We examine multiple potential methods and present a highly accurate model. Using the results of the analysis based on the data provided, we engage in repeated discussions with our customers to lead to results with greater explanatory power. [Purpose and Background] ■ When inconvenient phenomena occur, it may not be easy to discern relationships through simple correlation analysis or graphical representation. ■ Experimental design is effective when the factors can be anticipated and can be manipulated artificially. *For more details, please refer to the PDF document or feel free to contact us.

We collect, process, and analyze data according to the purposes desired by our customers. We propose technologies that provide suitable solutions based on the customer's objectives and the data they possess, and we support data analysis. We suggest appropriate methods and assist in the utilization of AI. Even if you have limited data, please feel free to consult with us. 【Proposal Contents】 ■ Streamlining operations ■ Reducing resource input ■ Promoting information sharing ■ Exploring unknown candidates ■ Accumulating and utilizing advanced know-how *For more details, please refer to the PDF document or feel free to contact us.

We support measures for those who want to utilize AI for DX promotion but are struggling with a lack of data. By leveraging publicly available image and label datasets, we explore the similarities with your existing data, enabling discrimination even for items not present in your data. If your data has sufficient quality and quantity, we will propose analyses tailored to your specific challenges. 【Measures for Insufficient Data (Partial)】 <Innovating Data> ■ Efforts to collect more data ■ Performing Data Augmentation It is also possible to virtually add data through simulation. *For more details, please refer to the PDF materials or feel free to contact us.

We will consider the best methods to realize your requests and the data you have (images, videos, etc.). By disclosing sample data, we will perform actual calculations (training) and provide a trained model. We also offer support for integrating this into your system. Please feel free to contact us when needed. 【Purpose and Background】 ■ A large number of images and videos are being captured for management and monitoring, but the current situation is that the burden on operators is too great to make judgments visually. ■ By using object recognition technology based on artificial intelligence (AI) to identify various objects, it is possible to automate and reduce that workload. *For more details, please refer to the PDF document or feel free to contact us.

We provide a suitable IoT data collection system for our customers by combining various elemental technologies. By using network cameras, we achieve labor-saving through the automatic reading and centralized management of instrument information from multiple locations. The network configuration and communication methods can be customized to fit the customer's situation. Please feel free to contact us when you need assistance. 【What can be done with IoT】 ■ Measure the condition of objects ■ Control objects ■ Detect abnormalities in objects *For more details, please refer to the PDF materials or feel free to contact us.

When unexpected situations arise, the conditions for optimization and the training data for AI and machine learning may become disconnected from reality. At our company, if you provide us with your data and the desired outcomes, we will conduct experimental analyses to evaluate the potential for anomaly detection and rule discovery for predictive diagnostics. We will also propose visualization methods to effectively present the results of the analysis. [Background and Issues] - With the proliferation of various devices, collecting information related to the environment, device operations, and human behavior has become easier, enabling precise control based on that data. - However, when situations change rapidly, as they have in recent years, and the underlying assumptions collapse, there is a high risk that the results of optimization or learning may not reflect reality. *For more details, please refer to the PDF document or feel free to contact us.