In actual application scenarios, what factors can affect camera accuracy?

While the official website provides measurement accuracy for various cameras, there may be cases where the actual measurements don’t correspond precisely to the data on the website. What are the main factors that can significantly affect camera accuracy?


For a well-precision camera, there could be factors in practical applications that lead to a decrease in camera accuracy:

  1. Appropriate Camera Height Usage:
    Different camera models have different factory-calibrated distances and recommended usage heights. If the camera is placed at a height beyond the recommended distance, the images might suffer from defocusing issues, which can degrade image quality and accuracy.

  2. Significant Temperature Variations in the Environment:
    Temperature changes can impact the repeatability errors in the Z-axis. Fluctuations in temperature affect the internal sensors and components of the camera, thus affecting its precision. In such environments, preheating the camera could help mitigate this issue.

  3. Stability of Camera and Captured Objects:
    The stability of both the camera and the objects being captured is crucial. Any movement or vibrations can introduce errors into measurements.

  4. Actual Point Cloud Characteristics of Measured Objects:
    The accuracy of the camera’s point cloud data depends on the physical characteristics of the objects being measured. Reference points, patterns, textures, and reflective properties can all impact the quality of the data.

Regarding point cloud feature issues, you can refer to this :
Adjust camera exposure: Check if a 2D or 3D image is overexposed or underexposed by Mech-Eye Viewer or third-party software

The accuracy issue involves many points of consideration, and specific problems require individual analysis.