ソホビービー List of Products and Services

We will introduce all the cases that our AI business "HAMPANAI AI" has worked on! Please download the materials from the link provided and be sure to check out the cases that suit your company!

• Image Processing Equipment

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 products with predetermined buyers one by one from a large rack and labeling them for shipment. The enormous labor costs have become a challenge. Our service can automate the entire process of instantly detecting, determining, and ejecting cardboard boxes with predetermined shipping sources. *For more details, please refer to the PDF document or feel free to contact us.

• Image Processing Software

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. The AI consistently directs the process of identifying and removing defective products automatically. 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. Compared to visual inspections, it enhances efficiency and accuracy. Effects: Resolution of labor shortages, increased productivity, improved quality, and measures against new infectious diseases. [Contents (partial)] ■ SOHO BB Company Overview ■ SOHO BB's AI ■ Barriers to AI Implementation ■ Introduction of the automatic inspection case of vacuum-packed ham *For more details, please refer to the PDF document or feel free to contact us.

• Analytical Equipment and Devices

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's performance and oversight due to long working hours, but these issues are resolved by utilizing AI technology. Key Features: ■ High-Precision Inspection By leveraging AI technology, it counts the amount of pollen adhered with higher precision than human inspectors. ■ Significant Reduction in Inspection Time It 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 It provides an intuitive user interface that can be easily used even 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 measurement, recording and measuring instruments

In the pachinko industry, customer attrition is accelerating due to structural issues (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 limits of management based on experience have been reached, necessitating new approaches. Specific initiatives: 1. Extracting data with high correlation to operational data based on the provided data. 2. Predicting the performance of new machines before their introduction using national data and machine-specific specification data (evaluating appropriate purchase machines). 3. Forecasting two weeks' worth of performance based on two days of machine-specific 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 had previously been as high as 30% even for veterans, improved to just about 10%. This has enabled a method that does not rely on human input and contributes to appropriate investment decisions. *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments

We would like to introduce a case study of detecting the number of different types of 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. Attempts to detect the number of each type faced challenges due to reflections from the wrapping and similarities in shape, leading other AI services to determine that it was technically unfeasible. We created an AI model that can withstand 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 recreated using edible bowls for illustrative purposes. 【Challenges】 ■ Random storage of similar containers and reflections from wrapping create high difficulty in judgment. ■ Increased human errors due to the repetition of simple tasks. ■ Low productivity in the counting process. *For more details, please refer to the PDF document or feel free to contact us.

• Image Processing Software

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

• Tool Sets

We would like to introduce a case 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 difficulty in 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 the repetitive nature of simple tasks *For more details, please refer to the PDF document or feel free to contact us.

• Other information 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 subjects for health guidance, which posed the risk of accountability issues due to incorrect risk assessments. After implementation, 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 subjects for health guidance. - There was a possibility of accountability issues arising from 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 materials or feel free to contact us.

• Other information systems

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 severe shortage of seaweed grading artisans across the industry and unstable visual grading amid fast inline speeds. 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] ■ Severe shortage of seaweed grading artisans across the industry ■ Unstable visual grading 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 information systems

We would like to introduce a case study of a CSR value (slip resistance coefficient) 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 are working towards the development of a new measuring device using AI. [Case Overview] ■ Issues - The machines are heavy, take time to measure, and 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.

• Other information systems

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 it. [Contents (partial)] ■ SOHO BB Company Overview ■ SOHO BB's AI ■ Barriers to AI Implementation ■ Introduction of Our Products ■ Introduction of HAMPANAI AI Functions *For more details, please refer to the PDF document or feel free to contact us.

• Analytical Equipment and Devices

This document introduces 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. 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's Functions *For more details, please refer to the PDF document or feel free to contact us.

• Analytical Equipment and Devices