Cavity Inspection System with Automated Structure Recognition
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Solution Overview
Problem
Current cavity inspection systems for sewer pipes and shafts require manual initiation and operation, which is time-consuming and may not ensure consistent observation accuracy for detecting and processing damaged areas or structures.
Innovation Solution
A cavity inspection system equipped with a sensor device, such as a camera, and a structure recognition module that automatically identifies structures within the cavity, allowing for partially automated inspection and processing operations. The system includes a control device that can initiate actions based on recognized structures, such as adjusting the camera's position or activating processing tools, using image evaluation and potentially self-learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual initiation and operation of cavity inspection systems is used, then the system can be operated with simple control, but the inspection process becomes time-consuming and observation accuracy may be inconsistent
Solution Approach 1:
The cavity inspection system performs self-service through automated structure recognition and self-learning algorithms. The sensor device automatically captures images, the evaluation unit processes the data to detect structures and anomalies, and the system initiates actions without continuous manual intervention, enabling the system to serve itself in the inspection process
Solution Approach 2:
The system performs preliminary actions by pre-configuring the sensor device to capture images at regular intervals or when specific conditions are met. The evaluation unit is pre-programmed with structure recognition algorithms that automatically process images and detect anomalies, preparing the system to respond immediately without waiting for manual commands
2Measurement precision
If automated structure recognition is implemented, then observation accuracy is enhanced, but the device complexity increases
Solution Approach 1:
The system replaces manual mechanical inspection with automated optical and computational systems. The sensor device uses optical sensors to capture images, and the evaluation unit uses computer-based image processing and self-learning algorithms to detect structures, substituting human visual inspection and manual analysis with automated electronic systems that provide consistent high-accuracy observations
Solution Approach 2:
The sensor device creates optical copies (images) of the cavity structures, which are then analyzed by the evaluation unit. This copying process allows multiple analyses of the same structure without physical contact, enabling precise measurement and detection while maintaining a simple physical inspection probe
Data Source
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AI summary
The invention relates to a cavity inspection system with an inspection unit (4) designed for insertion into a cavity (2), which has at least one camera (12), and a control device (10) for controlling the inspection unit (4), which has an image evaluation device (30) connected to the camera (12), wherein the image evaluation device (30) has a structure recognition module (32) which is designed in such a way that it recognizes certain structures (24, 26, 28) in an image taken by the camera (12), and the control device (10) is designed in such a way that, when a certain structure (24, 26, 28) is recognized by the structure recognition module (32), it initiates at least one action of the cavity inspection system.