Transparent Container Wall Thickness Inspection via Light Beam Reflection
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Solution Overview
Problem
Existing techniques for inspecting transparent or translucent containers, such as glass bottles, fail to reliably detect the nature and type of material distribution defects, often misinterpreting thin areas for other defects like parting lines.
Innovation Solution
A novel inspection process involving a series of inspection points distributed over the container's height and circumference, using a light beam to measure wall thickness and analyze geometric characteristics for defect detection, including surface, length, orientation, and amplitude, to accurately identify material distribution defects like thin areas, offset parting lines, and bubbles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light beam reflection and refraction is used to measure wall thickness, then thickness measurement is achieved, but defect type identification is unreliable
Solution Approach 1:
The inspection region is divided into multiple discrete inspection points distributed over the container's height and circumference. At each point, thickness measurements are taken independently and then analyzed collectively to extract geometric characteristics, enabling reliable defect classification without compromising measurement precision
Solution Approach 2:
The solution transitions from single-point thickness measurement to multi-dimensional analysis by distributing measurements across multiple inspection points in space (height and circumference). This spatial distribution enables extraction of geometric characteristics that identify defect types, resolving the unreliability of defect classification while preserving accurate thickness measurement
2Device complexity
If single inspection point measurement is used, then measurement simplicity is maintained, but defect classification accuracy deteriorates
Solution Approach 1:
The container surface is segmented into multiple inspection points rather than using a single measurement location. This segmentation enables collection of sufficient data to extract geometric characteristics for accurate defect classification, while the modular approach keeps the inspection process manageable and systematic
Solution Approach 2:
Multiple copies of the measurement process are performed at different inspection points around the container. These repeated measurements create a dataset that reveals geometric patterns characteristic of different defect types, enabling accurate classification without requiring complex single-point measurement equipment
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
This method enables reliable detection and classification of material distribution defects, allowing for precise identification and rectification of defects, improving the mechanical resistance and aesthetics of glass containers.
Implementation Method 1
part of the light beam is reflected by the external face of the wall
Implementation Method 2
part of the beam is refracted in the wall
Data Source
AI summary
An inspection process for detecting defects of thin type, on transparent containers for a series of inspection points distributed over an inspection region superposed according to a determined height of the container taken according to central axis thereof, and according to the circumference of the container comprising:sending a light beam so as to recover on a light sensor the reflected beams by the internal and external faces of the wall of the container,measuring at each inspection point the thickness of the wall as a function of separation at the level of the light sensor between the reflected beams by the internal and external faces,processing the thickness measurements by analyzing their distribution over the inspection region to extract therefrom geometric characteristics, and comparing these geometric characteristics to reference values to determine if the container has a material distribution defect.


