ソホビービー List of Products and Services

We would like to introduce a case study of detecting and reading the type of shipping source and printed information on cardboard boxes using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. Workers were searching for each product from a large rack to apply shipping labels for items with predetermined destinations. The enormous labor costs have become a challenge. Our service can instantly detect, determine, and automate the discharge of cardboard boxes with predetermined shipping sources. *For more details, please refer to the PDF document or feel free to contact us.

• Logistics and warehouse management systems

This document introduces one of the object detection cases of HAMPANAI AI: the automatic inspection case of vacuum-packed ham. Features of the automatic inspection system for vacuum-packed products: 1. AI consistently directs the process of identifying and removing defective products. 2. Products can be judged and ejected in less than one second, and it can be retrofitted to existing transport environments. 3. It significantly reduces inspection work time and improves work efficiency, helping to alleviate labor shortages and ease peak periods. 4. It can enhance efficiency and accuracy compared to visual inspections. Effects: Resolution of labor shortages, increased productivity, improved quality, and measures against new infectious diseases. [Contents (partial)] ■ Overview of SOHO BB ■ SOHO BB's AI ■ Barriers to AI implementation ■ Introduction of the automatic inspection case for vacuum-packed ham *For more details, please refer to the PDF document or feel free to contact us.

• Other measuring instruments

The AI pollen adhesion inspection system is a solution that counts the amount of pollen adhered to clothing with high precision and speed. Traditional manual inspections faced challenges such as variability in quality due to the inspector and oversight from prolonged work, but these issues are resolved by utilizing AI technology. Key Features: ■ High-Precision Inspection Leveraging AI technology, it counts the amount of pollen with higher precision than human inspectors. ■ Significant Reduction in Inspection Time Reduces traditional inspection time by 99%, enabling rapid inspections. ■ Elimination of Human Errors through Automation Automated inspections using AI prevent oversight and human errors caused by prolonged work. ■ User-Friendly Interface Provides an intuitive user interface that can be easily used without specialized knowledge. The AI pollen adhesion inspection system addresses the challenges in inspecting pollen adhesion on clothing, achieving efficient and high-precision inspections, and contributing to improved work efficiency and quality. *For more details, please refer to the PDF document or feel free to contact us.

• Other Software

In the pachinko industry, customer attrition is accelerating due to structural challenges (such as the removal of high-risk machines, measures against gambling addiction, and the ban on smoking in stores) and the impact of the COVID-19 pandemic, in addition to the digital shift. The industry has reached the limits of management based on experience and requires a new approach. Specific initiatives: 1. Extracting data that has a high correlation with operational data based on the provided data. 2. Predicting the performance of new machines before their introduction based on national data and machine-specific specification data (evaluating appropriate purchase machines). 3. Forecasting the performance of machines for two weeks based on two days of operational data from new machine sales (understanding the appropriate number of machines to install). After implementation, the error in the operational forecast for new machines over three days, which was previously as high as 30% even for veterans, improved to just about 10%. This has achieved a method that does not rely on human labor and can also contribute to appropriate investment decisions. *For more details, please refer to the PDF document or feel free to contact us.

• Scientific Calculation and Simulation Software

We would like to introduce a case of detecting the number of types of 20 different plastic containers using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. In a certain warehouse, approximately 20 types of plastic containers are stored randomly. Although attempts were made to detect the number of each type, other AI services deemed it technically impossible due to reflections from the wrap and the similarity in shapes. We created an AI model capable of practical operation using our mobile app. After implementation, we achieved a judgment accuracy of 98% during the PoC phase and discovered a new inspection method using smartphones. *The demonstration on the screen is being conducted using a food bowl for illustrative purposes. 【Challenges】 ■ Random storage of similar containers and reflections from the wrap make judgment highly difficult. ■ Increased human errors due to the repetitive nature of simple tasks. ■ Low productivity in the counting verification process. *For more details, please refer to the PDF document or feel free to contact us.

• Inventory Management System

We would like to introduce a proof of concept case for preventing tool loss through tool counting using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. The counting of tools brought to the site is a task that must be performed before and after entering the work area. Forgetting tools can lead to serious accidents, so workers have been manually counting the tools by spreading them out on a blue tarp. With our service, you can simultaneously execute the counting of tools, record the counting time, document the counting results, and send the data all at once with just a click of the shutter. [Challenges] ■ Forgetting tools can lead to serious accidents. ■ Workers manually count tools by spreading them out on a blue tarp. *For more details, please refer to the PDF document or feel free to contact us.

• Other Software

We would like to introduce a case study of beverage bottle label inspection conducted using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. The company faced challenges such as the difficulty of extracting bottles with standard machinery due to them being imported, as well as rising labor costs and low employee retention rates. After implementation, the entire process from bottle extraction to inspection was fully automated through robot collaboration, achieving a significant reduction in workforce and improved inspection accuracy. [Challenges] - Difficulty in extracting bottles with standard machinery due to them being imported - Rising labor costs with low employee retention rates - Increased errors due to repetitive simple tasks *For more details, please refer to the PDF document or feel free to contact us.

• Logistics and warehouse management systems

We would like to introduce a case of risk prediction for diabetes patients using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. At the university, general staff members were responsible for extracting candidates for health guidance, which raised the possibility of accountability issues due to incorrect risk assessments. After implementation, the AI supported appropriate evaluations from limited information, enabling even those without expertise to make expert-level judgments. [Challenges] ■ General staff members conducted the extraction of candidates for health guidance. ■ There was a possibility of accountability issues due to incorrect risk assessments. ■ The volume of data from experts was large, and the analysis itself was at a high level. *For more details, please refer to the PDF document or feel free to contact us.

• Database

We would like to introduce a case study of seaweed grade determination using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. The company faced challenges such as a serious shortage of seaweed grading artisans across the industry, unstable visual assessments amid fast inline speeds, and differences in rank recognition between production areas and wholesalers. After implementation, the process was automated from grading to printing the grade, alleviating the labor shortage. Additionally, the grading criteria became clearer, improving the reliability of grade classification. [Challenges] - Serious shortage of seaweed grading artisans across the industry - Unstable visual assessments amid fast inline speeds - Differences in rank recognition between production areas and wholesalers *For more details, please refer to the PDF document or feel free to contact us.

• Other analytical equipment

We would like to introduce a case study of a CSR value (coefficient of friction) measurement experiment conducted using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. Wear on station concourses and platforms can lead to slip and fall accidents, so portable slip testing machines have been used to measure slipperiness (CSR value). By collecting image data, synchronizing each data point, and allowing AI to learn and make judgments, we aim to develop a new measuring device using AI. 【Case Overview】 ■Challenges - The machines are heavy, measurement takes time, and they cannot be used during the day. ■Effects - Development of a new measuring device using AI. *For more details, please refer to the PDF document or feel free to contact us.

• Database

This document introduces the barriers to AI implementation, such as being interested in AI but unable to "try it out," lacking specialized personnel or knowledge, and not understanding the purpose. It features "HAMPANAI AI," known for its flexible application to multiple requests, and "totemiru," which can inspect standard products with high quality and low cost. The benefits of implementing AI in target operations include the ability to make immediate judgments on injuries and dirt using AI and image cameras, among various other advantages. We encourage you to read it. [Contents (partial)] ■ SOHO BB Company Overview ■ SOHO BB's AI ■ Barriers to AI Implementation ■ Our Product Introduction ■ Introduction to HAMPANAI AI Features *For more details, please refer to the PDF document or feel free to contact us.

• Other measuring instruments

In this document, we introduce the barriers to AI implementation, such as being interested in AI but unable to "try it out," lacking specialized personnel and knowledge, and not understanding the purpose. We feature "HAMPANAI AI," known for its flexible application to multiple requests, and "totemiru," which can inspect standard products with high quality and low cost. The benefits of implementing AI in target operations include the ability to make immediate judgments on injuries and dirt using AI and image cameras, among various other advantages. We encourage you to read on. [Contents (partial)] ■ SOHO BB Company Overview ■ SOHO BB's AI ■ Barriers to AI Implementation ■ Introduction of Our Products ■ Features of HAMPANAI AI *For more details, please refer to the PDF document or feel free to contact us.

• Other measuring instruments