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Analysis software(CPU) - List of Manufacturers, Suppliers, Companies and Products | IPROS GMS

Last Updated: Aggregation Period:Jul 29, 2026~Aug 25, 2026
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Analysis software Product List

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Utilizing 'VP-Ergono' for posture improvement at a construction site with a 14% incidence rate of lower back pain.

Case study on the use of "VP-Ergono" in improving work load and equipment environment in the construction industry.

In the construction industry, which is also experiencing aging, the number of cases of low back pain accounts for 14% of all industries, and it is anticipated that this will continue to increase. By introducing VP-Ergono, which is believed to be underutilized on-site for task evaluation, it will become easy to analyze and detect potential health hazards early. This will lead to improvements in creating a healthy and sustainable work environment. Without putting pressure on daily operations, real-time improvements in work posture can be expected through easy and speedy evaluations powered by AI. ↓↓ Here is a video introducing case studies of utilization in manufacturing and construction sites. ■ About Load Analysis "Visualizing the analyzed load values in an easy-to-understand manner" Instead of asking "how much load is it?" when taking a posture with "high load" during a series of work motions or when continuing such actions, we analyze and display it according to the improvement requirements of the OWAS method with a four-level evaluation of "how harmful it is." "Analyzing the load on each joint for comprehensive judgment" We analyze the load on the ten major joints of the human body and assess the load conditions felt strongly during work as "back," "upper limbs," and "lower limbs." This is displayed as an easy-to-understand indicator for comprehensive improvement requirements.

  • Other operation management software
  • Analysis software

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Easy analysis of complex yoga poses with 'VP-VideoAnalyzer'

A new tool to support student growth! It enables objective evaluation of yoga poses!

"VP-VideoAnalyzer" is an application that detects skeletal information and joint angles simply by reading video and still images, thanks to the integrated posture estimation AI engine "VisionPose." When utilizing VP-VideoAnalyzer for yoga pose analysis, the following benefits can be obtained: ■ Easy to start yoga - Since it is easy to check whether the pose is correct, beginners can start yoga with confidence. ■ Objective pose evaluation - It quantifies aspects that are often overlooked by the naked eye, such as joint angles and body axis tilt, allowing for an objective assessment of whether the pose is correct. ■ Efficient instruction and learning - It quantifies each student's pose, enabling the creation of personalized instruction plans. - By visualizing changes in poses through continuous practice, it allows for an objective understanding of learning progress. ■ Reduced risk of injury - It can detect and prevent the risk of injury from improper poses at an early stage. This page introduces example videos of yoga analysis. Please feel free to contact us.

  • Software (middle, driver, security, etc.)
  • Analysis software

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October 16, 2024, Latest version of 'VP-Motion' released!

It has become even easier to detect operational mistakes and unsafe behaviors, as well as to utilize it for technical knowledge transfer!

The real-time behavior analysis tool "VP-Motion" has significantly upgraded its features for generating and analyzing trained models with the latest version 1.3.0! It has become even easier to detect work errors and unsafe behaviors, as well as to utilize it for technical knowledge transfer. ■Main Update Features 1. Added a body part analysis mode to enhance the analysis of specific body parts ⇒ Allows for learning and analysis by cropping any part of the body. 2. Added a function to split long annotations ⇒ Reduces instability by splitting, which can improve overall learning accuracy. 3. Outputs analysis results as graphs in HTML ⇒ Outputs graphs that provide an overview of data analysis trends, visualizing interference between labels and whether the analysis data is appropriate. With the utilization of "VP-Motion," it is possible to build a monitoring system that enhances work efficiency and safety! Please feel free to contact us.

  • Other analyses
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Ally of the manufacturing site: Visualizing people's postures and movements to improve work efficiency!

Digitize the actions of veteran workers (experts) to pass on work know-how and insights to new employees! Also maintain quality through training for newcomers.

Are there any issues such as "aging of workers," "increased employment of foreign personnel," and "task personalization"? The know-how and insights cultivated by veteran workers over many years have become tacit knowledge that is not sufficiently shared within the company. As workers age and retire year by year, there are cases where technical knowledge is not passed on to new employees. By digitizing with 'VisionPose,' we can stop personalization. By analyzing and digitizing the work of veteran workers with our product and comparing it to the movements of new workers, we can improve actions and optimize operations. ■ Case Study 【Issues】 - Aging of workers / Increased employment of foreign personnel / Task personalization 【Consequences】 - Decrease in veteran workers / Labor shortages / Deterioration of quality 【Improvement Measures】 - Optimization of new employee training is essential ■ Features of VisionPose SDK (Software Development Kit) - AI can be tuned for additional learning specialized in specific movements - Compatible with a wide range of platforms, including edge devices - Japanese language support - No usage restrictions; commercial use allowed - Two immediately usable tools included - Skeleton detection using only a camera - Detection of 30 points of the human body's skeleton - Compatible with network cameras

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[Development Case] Introduction of Advanced Technology into Fundus Examination Devices

Acquisition of detailed biological tissue information and acceleration from examination to result presentation! Introduction of development cases.

The diagnosis of eye diseases is progressing daily, but the information from biological tissues is not necessarily sufficient, and there are limitations in understanding the pathological conditions. In this development, we are collaborating with inspection device manufacturers to obtain new tissue characteristic information, and we are using advanced technologies such as Deep Learning and GPGPU to maximize the use of that information, demonstrating means to understand pathological conditions from multiple perspectives and addressing this issue. In conventional methods, it took about one hour to compute data from a single examination, but we have successfully re-implemented this computation on GPGPU, reducing the time to approximately five minutes. [Development Example] ■ OS: Windows 10 ■ Development Period: 5 years ■ Number of Developers: 3 ■ Development Languages: Qt, C++, Python ■ Networks Used: DeepLabV2, V3 *For more details, please refer to the PDF document or feel free to contact us.

  • Other contract services
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