Size measurement by vision inspection edge detection for precision workpiece, material, parts.
Product features:
1. Conventional measuring instruments, suitable for large volume measurements.
2. Large view of the whole imaging, press a key to complete all industrial sensory detection and measurement tasks.
3. Simple operation, anyone can master within three minutes.
4. Super depth of field without focusing.
5. Automatic saving of measurement results,SPC statistical analysis.
Technical specifications:
1. Measuring range: 150*100mm; 100X75mm; 50X40mm;
2, measurement accuracy: ±5µm; ±3µm;
3, repetition accuracy: ±2µm; ±1µm;
3, measurement speed: <2 seconds
4, mirror head: double telecentric lens
5, lighting system: LED parallel light source
6, image sensor: tens of millions of pixels image sensor
Main customers: all kinds of machining parts, powder metallurgy parts production or assembly related enterprises size measurement, product testing needs, can be applied to workshop testing, laboratory testing and other different scenarios.
Regarding the dimensional measurement of precision workpieces, materials and parts through visual inspection edge inspection technology, this is a complex process involving multiple technical fields. Here is a detailed breakdown of the process:
I. Technical overview
Visual inspection Edge detection technology is a non-contact measurement method based on computer vision and image processing technology, it captures the image of the measured object, and uses the image processing algorithm to extract the edge information in the image, and then realizes the size measurement of the workpiece, materials and parts. This technology has the advantages of high precision, high efficiency and non-contact, and has been widely used in modern manufacturing industry.
2. Technical process
Image acquisition:
Use a high-resolution camera to capture images of the subject to ensure image quality and clarity.
Consider the image acquisition Angle and lighting conditions to reduce errors.
Image processing:
The acquired image is preprocessed, including filtering and enhancement, to improve the image quality.
The edge detection algorithm (such as gradient operator, Laplacian operator, etc.) is used to extract the edge information in the image.
The choice of edge detection algorithm depends on the characteristics of the measured object and the measurement requirements.
Feature extraction:
According to the required dimension measurement index, the key features of edge information, such as edge, corner and contour, are extracted by image processing technology.
These features will be used for subsequent dimensional calculation and analysis.
Size calculation:
According to the extracted feature information, mathematical algorithm is applied to calculate the size of the measured object.
The commonly used calculation methods include linear distance measurement, Angle measurement and curve fitting.
According to the specific dimensional tolerance requirements for judgment and classification.
Result output and feedback:
Output the measurement results in report or chart form for subsequent analysis and processing.
Give feedback in time according to the measurement results, modify the machining parameters or make other necessary adjustments.
3. Technological advantages and challenges
Advantages:
High accuracy: Visual inspection technology obtains images in real time through computer vision systems and processes them, which can achieve sub-pixel accuracy.
High efficiency: The automatic detection method can complete the size measurement of a large number of workpieces in a short time, improving production efficiency.
Non-contact measurement: avoids the risk of damage to the workpiece that traditional measurement methods may bring, and is suitable for various shapes and materials of the workpiece.
Challenge:
Environmental changes: Environmental factors such as lighting, background, and noise can affect image quality and feature extraction, which can lead to dimensional measurement errors.
Diversity and complexity: Different types of workpieces have different shapes and surface characteristics, and detection algorithms need to be developed for different shapes and complexities.
System accuracy verification: The accuracy of the visual inspection system needs to be verified and calibrated to ensure the reliability of the measurement results.
4. Application examples
In the automated manufacturing industry, machine vision inspection technology is widely used in various dimensional measurement of workpieces, such as length measurement, circle measurement, Angle measurement, etc. For example, in the manufacturing of auto parts, visual inspection technology can be used to measure the size and quality control of precision parts such as engine blocks and crankshafts.
To sum up, it is an efficient and accurate method to measure precision workpieces, materials and parts by visual inspection edge detection technology. However, in practical applications, it is necessary to pay attention to the impact of environmental factors, develop detection algorithms suitable for different workpieces, and perform system accuracy verification and other challenges.
