Toyota jidosha kabushiki kaisha (20240265325). WORKLOAD ANALYSIS DEVICE simplified abstract
Contents
WORKLOAD ANALYSIS DEVICE
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Hirofumi Morishita of Toyota-shi (JP)
Toshiyuki Ishihara of Tokyo (JP)
WORKLOAD ANALYSIS DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240265325 titled 'WORKLOAD ANALYSIS DEVICE
The abstract of the patent application describes a workload analysis device that can recognize a process segment in which a worker is working by detecting a workpiece in an image of a work flow captured by a camera.
- Simplified Explanation:
The workload analysis device can identify where a worker is working by detecting a workpiece in images of a work flow.
- Key Features and Innovation:
- Workpiece detecting unit recognizes process segments by detecting workpieces in images. - Worker detecting unit identifies workers in the process segments in a time series.
- Potential Applications:
- Industrial automation - Workload optimization - Process efficiency improvement
- Problems Solved:
- Difficulty in tracking worker activities in complex work environments - Inefficient workload distribution
- Benefits:
- Enhanced productivity - Real-time monitoring of worker activities - Improved resource allocation
- Commercial Applications:
"Workload Analysis Device for Industrial Automation and Process Efficiency Improvement"
- Prior Art:
Research on computer vision technologies for worker tracking and workload analysis.
- Frequently Updated Research:
Ongoing studies on computer vision applications in industrial settings.
Questions about Workload Analysis Device: 1. How does the device detect workers in process segments? - The device uses image processing algorithms to identify workers based on the presence of workpieces in the images.
2. What are the potential challenges in implementing this technology in different work environments? - Challenges may include variations in lighting conditions, worker movements, and the complexity of work flows.
Original Abstract Submitted
a workload analysis device includes: a workpiece detecting unit configured to recognize a process segment in which a worker is working by detecting a workpiece which is a work object in an image of a work flow such as a production line or a fixing or repairing line captured by a camera and acquired via an image acquiring unit; and a worker detecting unit configured to detect a worker in the process segment in the image of the work flow acquired in a time series.
