Taiwan semiconductor manufacturing co., ltd. (20240331436). GRAPH ALGORITHM AND MOTION CAPTURE FOR IMPROVING MANUFACTURING PROCESSES simplified abstract
Contents
GRAPH ALGORITHM AND MOTION CAPTURE FOR IMPROVING MANUFACTURING PROCESSES
Organization Name
taiwan semiconductor manufacturing co., ltd.
Inventor(s)
Chia-Hsi Wang of Taichung (TW)
GRAPH ALGORITHM AND MOTION CAPTURE FOR IMPROVING MANUFACTURING PROCESSES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331436 titled 'GRAPH ALGORITHM AND MOTION CAPTURE FOR IMPROVING MANUFACTURING PROCESSES
The abstract describes a method for automatically detecting whether a procedure in a scheduled process has been performed by capturing images of a person engaged in predetermined steps, estimating their pose, tracking movement, generating a movement signal, determining if a step has been performed, and recording the time of completion.
- Capturing images of a person engaged in predetermined steps
- Estimating the human pose in the captured images
- Tracking movement of body parts in the human pose
- Generating a movement signal based on tracked movement
- Determining if a predetermined step has been performed
- Recording the time of completion when a step is detected
Potential Applications: - Monitoring compliance with scheduled processes - Enhancing quality control in manufacturing - Improving training programs for complex procedures
Problems Solved: - Ensuring procedural steps are completed accurately - Providing real-time feedback on task performance - Streamlining process monitoring and documentation
Benefits: - Increased efficiency in process management - Enhanced accuracy in task completion verification - Improved accountability and record-keeping
Commercial Applications: Title: Automated Procedure Verification System This technology can be utilized in industries such as manufacturing, healthcare, and logistics to automate the verification of task completion in scheduled processes, leading to improved efficiency and quality control.
Prior Art: Researchers in the field of computer vision and machine learning have explored similar methods for human pose estimation and movement tracking in various applications, such as activity recognition and gesture control systems.
Frequently Updated Research: Ongoing research in computer vision algorithms and sensor technology continues to advance the capabilities of automated procedure verification systems, with a focus on real-time performance monitoring and data analysis.
Questions about Automated Procedure Verification Systems: 1. How does this technology impact workforce productivity and efficiency? 2. What are the potential privacy concerns associated with capturing and analyzing images of individuals in a work environment?
Original Abstract Submitted
a method of automatically detecting whether a procedure in a scheduled process has been performed is disclosed. the method includes: capturing images of a person engaged in a plurality of predetermined steps in the scheduled process; estimating a human pose of the person in the captured images that includes a plurality of body parts of the human pose; tracking movement of the plurality of body parts of the human pose; generating a movement signal based on the tracked movement of the plurality of body parts; determining based on the movement signal whether a predetermined step of the plurality of predetermined steps in the scheduled process has been performed by the person; and recording a time at which the predetermined step of the plurality of predetermined steps in the scheduled process has been performed by the person when it has been determined that the predetermined step has been performed.
