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"ARAYA Research DX" is a solution that consolidates Araya's knowledge in AI, programming, and brain, nerve, and cognitive sciences to support the research activities of those active in academia. It supports the development of analysis codes and software tailored to acquired data such as fMRI, EEG, ECoG, and MRG. By outsourcing time-consuming analysis tasks, it significantly reduces the labor involved in research. Additionally, it analyzes a wide variety of complex data all at once. It allows for verification without spending time on preprocessing tasks such as quality checks and noise removal. [Support Contents] ■ Support for building analysis codes and developing analysis software ■ Analysis of brain and biological data ■ Creation of analysis automation software ■ Collaborative projects with Araya in academia and industry *For more details, please refer to the related links or feel free to contact us.
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Free membership registrationAraya provides detailed proposals and development tailored to the challenges of our clients. For high-demand development projects categorized by industry and specific issues, we can utilize templates (pre-trained models) as "semi-custom AI," enabling relatively quick AI development. Additionally, we also build AI models from scratch as "full custom AI." **Main Challenges in the Construction Industry that Can Be Addressed with AI:** 1. Safety management at construction sites 2. Improving quality and efficiency of equipment inspections 3. Automating material quantity counting and recording human actions 4. Passing down and maintaining technical skills 5. Achieving automation of construction machinery We propose solutions using AI for the challenges mentioned above. For more details, please refer to the catalog.
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Free membership registrationAraya provides detailed proposals and development tailored to the challenges of our customers. For high-demand development projects by industry, we can utilize templates (pre-trained models) as "semi-custom AI," allowing for relatively quick AI development. Additionally, we also build AI models from scratch as "fully custom AI." **Main Challenges in the Manufacturing Industry That Can Be Solved with AI** 1: Safety management at work sites 2: Maintaining and improving inspection quality 3: Automating material quantity counting and recording human actions 4: Transmitting and maintaining technical skills We will solve the above challenges. Please refer to the catalog for more details. Also, we are currently offering free image diagnostics! Please feel free to contact us.
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Free membership registration"InspectAI" is a package software that automates the visual inspection process using AI technology. Specifically, it learns and determines normal/abnormal conditions based on images taken of the inspection targets. 【InspectAI Features】 - No need for image data of defective products, significantly reducing the effort required to prepare training data for model construction. - Model training can be completed in about 1-2 hours with simple screen operations. - Achieves high-speed processing in line with takt time. For more details, please refer to the catalog. Also, feel free to contact us.
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Free membership registrationWe would like to introduce a case where AI was implemented to extract suitable images that meet the criteria for publication in the media from a large number of images taken during sports events. In the case of our client, they traditionally took a large number of photos during sports events and manually extracted suitable images that met criteria such as "full body is visible" and "sports equipment is included." However, this selection process was time-consuming, and there was a demand for quicker extraction. To solve this issue, we created a system where AI extracts images that meet the criteria from thousands of target images, significantly reducing the number of images that need to be reviewed. For inquiries about the implementation of AI for the efficiency and automation of image and video-related tasks, please feel free to consult with Araya. [Effects After AI Implementation] ■ Significant reduction in selection time ■ Almost no time required for extraction *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case where AI was implemented for quality inspection of raw materials in consumable manufacturing. In the company that requested our services, inspectors previously needed to visually detect fine foreign substances that occasionally mixed in with the raw materials (plants) flowing through the manufacturing line. This visual detection by inspectors was challenging, and existing inspection equipment could not handle it, as conditions varied from factory to factory and line to line. To solve this issue, we installed fixed cameras on the manufacturing line and implemented an AI algorithm to determine good and defective products, achieving high-quality, automated inspection. Additionally, we introduced a total system that allows the customer to implement solutions for multiple factories and lines on their own. For inquiries about the introduction of AI for visual inspection of products and raw materials on manufacturing lines, please feel free to consult with Araya. [Effects After AI Implementation] ■ Automation of foreign substance detection ■ Support for multiple types of raw materials and foreign substances ■ Customers can independently manage different conditions in other factories/lines *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationInventory management in logistics warehouses involves a wide range of tasks and also requires working at heights, making it necessary to ensure the safety of workers. The "automated inventory drone" we are developing autonomously flies to trace all boxes, scanning the barcodes and QR codes attached to them, and registering the information in the inventory management system. By utilizing drones that fly autonomously for warehouse inventory tasks, it becomes possible to achieve this in a short time and at a low cost. Additionally, we are seeking partner companies in the logistics industry who are interested in collaborating with us to develop solutions using Alaya's automated inventory drone technology. **Benefits of the automated inventory drone we are developing:** - Drones at an affordable price range - Achievable with built-in cameras and QR codes - No need for additional RFID sensors, reducing implementation costs *For more details, please refer to the PDF document or feel free to contact us.*
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Free membership registrationAraya provides detailed proposals and development tailored to our customers' challenges. For high-demand development projects by industry, we can utilize templates (pre-trained models) as "Semi-Custom AI," enabling relatively quick AI development. Additionally, we also build AI models from scratch as "Full-Custom AI." <Semi-Custom AI> - Build AI based on templates - Multiple high-demand templates available - Quick AI development possible <Full-Custom AI> - Build AI from scratch - Development of AI tailored to all requests <Example of Solutions for the Manufacturing Industry> ■Challenge: Maintaining and improving inspection quality → We achieve automation of the inspection process. For example, tasks that were traditionally inspected visually by humans can now be judged as normal/abnormal by AI and categorized by the type of abnormality. *For visual inspections, you can use "Inspect AI." We are currently offering free image diagnostics! Please feel free to contact us.
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Free membership registrationAt Araya, we solve various business challenges for our customers using image recognition technology powered by deep learning. Here, we introduce a case study where AI was implemented for inspecting parts of large transport machinery. The company that requested our services had a statutory inspection task for parts of transport machinery. Traditionally, workers used endoscopes to conduct inspections on the fine parts that were subject to inspection, but they faced challenges such as "difficulty in maintaining high inspection quality" and "time-consuming processes." To address these challenges, we were able to reduce the overall burden of the inspection work by having AI automatically determine whether the inspection images indicated "normal" or "potentially abnormal and requiring focused inspection." If you are considering the introduction of AI for the visual inspection of large machinery and structures (such as towers and bridges), please feel free to consult with Araya. [Effects After AI Implementation] ■ Maintenance of high inspection quality ■ Reduction in required time *For more details, please refer to the PDF document or feel free to contact us.
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