- Sensor data recognition
- Status estimation
Work activity estimation technology
Increases the visibility of work activity by analyzing data from wearable devices.
- Uses deep learning technology to estimate the wearer’s activity based on acceleration data in the movement of the worker’s arm.
- SBS TOSHIBA LOGISTICS CORPORATION focused on issues in work visibility (estimates of manual tasks, walking, hand truck movement/resting), and confirmed a roughly 15% reduction in work time for logistics warehouse picking operations.
Applications
- Increase visibility of human tasks at logistics warehouses.
- Increase visibility of human tasks at manufacturing plants.
Benchmarks, strengths, and track record
- Received the Technology Application Award at the 2017 Japan Institute of Logistics Systems Logistics Awards.
- Toshiba Digital Solutions Corporation developed the “SATLYS KATA Work Activity Estimation” analytics AI service. (in Japanese)
Inquiries
Toshiba Digital Solutions Corporation
Toshiba analytics AI service “SATLYS” (in Japanese)
References:
- Yasuyoshi Hyodo et.al.; “Method for Work Analysis Using Human Activity Sensing Based on IoT Technology”, Toshiba Review, Vol. 71, No. 5, 2016. (PDF) (in Japanese)
- “Work activity estimation using wearable devices” (Toshiba Digital Solutions Corporation) (in Japanese)
- “Activity estimation services that support continuous improvements in work efficiency” (Toshiba Digital Solutions Corporation)
