Achieving significant time savings in work analysis through skeletal detection using AI!
By using AI technology, which has been gaining attention in recent years, for task analysis, education can be conducted in a more efficient and visualized manner. Detailed analysis through AI recognition of the human skeletal structure allows for the digitization and output of all aspects, including time, video, and numerical data, through process segmentation.
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basic information
【Specifications】 AI-based work analysis software "EduAI" ◎ Skeleton Analysis Detects the human skeleton in videos and displays it, quantifying the data. ◎ Process Management Detects points of division in tasks and automatically performs process segmentation. After that, it can link processes between comparison videos. ◎ Work Analysis Based on the results of skeleton analysis, it is possible to extract difference positions and detect wasteful areas and problem locations. ◎ Graphing and Output of Analysis Results Data output including Excel output of quantified data and output of mp4 files with skeleton information input. The improvement method through "work analysis," aimed at "DX of human resource development" and "visualization of work levels," can significantly reduce the time required for analysis using "AI" techniques. It is possible to achieve reduced time and effort, contributing to increased productivity through "EduAI."
Price information
600,000 yen~
Price range
P4
Delivery Time
P3
Applications/Examples of results
- Visualization of the "movement difference" between experienced workers and new workers - Visualization of the "time difference" through process segmentation - Detection of improvement areas by body part - Time reduction in segmented work processes - Data output of process time and skeletal information using Excel
Detailed information
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Company information
We have been developing package software for over 20 years that allows manufacturing companies to easily create video manuals for skill transfer and work procedures on-site. Utilizing that technology, we provide a wide range of proposals to both large manufacturers and small to medium-sized enterprises. We are committed to pursuing how to make information easier to convey.
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