Measuring platforms

1. Platform stability: If the measurement platform is not stable, it may shake during the measurement process, resulting in changes in the position of the measured object, thus affecting the accuracy of the measurement results.
2. Platform material: Different materials of the measuring platform also have an impact on the measurement accuracy. For example, some materials may generate static electricity and adsorb dust or tiny particles, affecting the placement and measurement of the measured object.
3. Platform precision: The manufacturing precision of the measuring platform itself is directly related to the precision of the measurement results. A high-precision measuring platform can provide a more accurate measurement reference.

Measuring Lens

1. Lens quality: High-quality lenses provide clear, accurate images and help improve measurement accuracy. Lens resolution, contrast, color reproduction and other indicators will affect the measurement results.
2. Lens focal length: Different measurement tasks require lenses with different focal lengths. Choosing the right focal length of the lens can ensure that the measured object is clearly presented in the image and improve measurement accuracy.
3. Lens distortion: Lens distortion will distort the image, thus affecting the accuracy of the measurement results. Choosing a lens with low distortion can reduce this effect.

lighting condition

1. Light intensity: appropriate light intensity can make the measured object clearly visible in the image and improve the measurement accuracy. Too strong or too weak light may lead to image quality degradation, affecting the measurement results.
2. Light uniformity: uniform light can ensure that the brightness of all parts of the object to be measured is consistent, to avoid measurement errors caused by uneven illumination.
3. Light Angle: Different light angles will have different effects on the surface characteristics of the measured object. Choosing the right angle of illumination can highlight the characteristics of the object under test and improve measurement accuracy.

Characteristics of the object to be measured

1. Object shape: Complex shaped objects to be measured may require more measurement points and more sophisticated measurement methods to ensure measurement accuracy. For example, curved objects may require the use of 3D measurement techniques.
2. Object surface material: Different surfaces have different reflective and absorptive properties of light, which can affect the quality of the image and the accuracy of the measurement. For example, highly reflective surfaces may produce glare that can affect measurement results.
3. Object color: The color of an object may also affect measurement accuracy. Some colors may be similar to the background color, making it difficult for the measurement software to accurately identify the edges of the object.

software algorithm

1. Edge Detection Algorithms: Accurate edge detection algorithms are the key to ensuring measurement accuracy. Advanced edge detection algorithms can more accurately identify the edges of objects and improve measurement accuracy.
2. Image stitching algorithm: For larger sized objects, it may be necessary to use image stitching technology. A good image stitching algorithm can reduce stitching errors and improve measurement accuracy.
3. Data processing algorithms: The way the measurement data is processed also affects the measurement accuracy. For example, operations such as removing outliers and performing data smoothing can improve the accuracy of measurement results.