Human Motion Recognition for Industrial Automation Safety
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Solution Overview
Problem
Conventional industrial automation systems are limited in safely controlling devices due to the lack of effective methods for interpreting and responding to human movements and object positions within the automation environment, leading to potential hazards and inefficiencies.
Innovation Solution
A range camera system is employed to detect positions and motions of humans and objects, using motion recognition algorithms to determine automation commands and send control signals to industrial devices, thereby enhancing safety and operational efficiency by predicting and preventing hazardous situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional automation control systems are used to manage device operations, then basic control functions are achieved, but safety and responsiveness to human movements are insufficient
Solution Approach 1:
The system performs preliminary detection of human positions and motions before automation commands are executed. The sensor system continuously monitors the environment and predicts potential hazardous situations in advance, allowing the system to prepare safety responses before actual hazards occur.
Solution Approach 2:
The system implements continuous feedback loops where sensor data about human positions and motions is constantly fed back to the control system. This feedback mechanism enables real-time adjustment of automation commands based on detected human activity, improving both safety and responsiveness.
2Reliability
If sensor systems detect positions and motions to determine automation commands, then safety and operational efficiency are improved, but system complexity increases
Solution Approach 1:
The sensor system is designed to perform multiple functions: detecting human positions, tracking motions, identifying objects, and predicting hazardous situations. By consolidating these detection and analysis functions into a unified sensor system, the patent reduces overall system complexity while maintaining comprehensive safety monitoring capabilities.
3Productivity
If real-time monitoring and predictive measures are implemented, then accidents are prevented and device control is optimized, but computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary analysis of sensor data to predict potential hazardous situations before they occur. By identifying trends and patterns in human movements and object positions in advance, the system can prepare appropriate responses, reducing the computational burden during critical decision-making moments and improving overall processing efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively manages the safe operation of industrial automation devices by interpreting human movements and object positions, preventing accidents and optimizing device control through real-time monitoring and predictive measures.
Implementation Method 1
A sensor system may be employed to detect positions and/or motions of persons and/or objects
Data Source
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AI summary
The present disclosure generally relates to a method for performing industrial automation control in an industrial automation system. As such, the method may include detecting, via a sensor system, positions and/or motions of a human. The method may then include determining a possible automation command corresponding to the detected positions and/or motions. After determining the possible automation command, the method may implement a control and/or notification action based upon the detected positions and/or motions.