Vision-Based Intrusion Detection for Material Testing Safety
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current materials testing systems lack active safety measures to protect operators from potential hazards within the high-force testing environment, relying solely on mechanical devices like physical guards.
Innovation Solution
A configurable vision system utilizing digital image processing and filtering to detect user intrusion into the testing space, with redundant safety features and data entry capabilities, employing dual digital cameras, ultrasonic sensors, and microprocessors to identify and respond to operator presence through virtual boundary detection and safe state activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mechanical devices like physical guards are used to shield the user, then user safety is improved, but the system lacks active safety monitoring and response capabilities
Solution Approach 1:
The patent replaces passive mechanical guards with an active vision-based detection system using digital cameras and image processing algorithms. The system uses visual field analysis to detect operator presence and virtual boundary violations, substituting mechanical protection with optical sensing and computational processing to achieve both passive and active safety monitoring.
Solution Approach 2:
The patent introduces an intermediary processing system between the operator and the testing machine. The vision system acts as a mediator that continuously monitors the workspace, processes visual data through image filtering and analysis, and triggers safety responses when virtual boundaries are violated, providing active safety monitoring without requiring physical contact with the operator.
2Adaptability or versatility
If a vision system with digital image processing is implemented, then active safety monitoring is improved, but device complexity increases
Solution Approach 1:
The patent segments the safety monitoring system into distinct functional modules: image acquisition (digital cameras), pre-processing (digital image filtering), analysis (virtual boundary detection algorithms), and response control (machine shutdown systems). This modular segmentation allows each component to be optimized independently and simplifies system integration and maintenance while providing comprehensive active safety monitoring.
Solution Approach 2:
The vision system is designed with multi-functionality to justify the added complexity. Beyond safety monitoring, the system can track operator position, monitor test specimen conditions, and provide data for operational analytics. This universal application across multiple functions maximizes the value of the added system complexity.
3Reliability
If redundant safety features are added for safety compliance, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple safety detection functions into a single integrated vision system. Rather than implementing separate mechanical guards, light curtains, and motion sensors, the system combines these functions into one unified digital imaging and processing platform that provides redundant safety monitoring through multiple algorithms and detection methods operating simultaneously.
Data Source
AI summary
A first embodiment of the disclosure provides a system for detection of intrusion into a working space of a material testing device wherein visual user detection system uses digital image processing and filtering in order to identify user entry into the specimen test space. The visual user detection system has built-in redundancy for safety compliance and further can be used for data entry with respect to test data setup and configuration. A second embodiment of the disclosure uses a digital camera mounted on the frame of the material testing device, oriented toward a striped pattern on the top of the front base cover. The striped pattern is recognized by a vision algorithm which creates virtual boundary lines within the pattern. A detected intrusion, such as by a user body part, will be detected and the material testing machine put into a safe state.