When selecting a machine vision lens, it is critical not to overlook its importance in the overall system. For example, failure to consider environmental factors may result in suboptimal lens performance and potential damage to the lens; failure to consider resolution and image quality requirements may result in inadequate image capture and analysis.
1、Ignoring the importance of the lens in the system
A common mistake to avoid when selecting machine vision lenses is to overlook how important the lens is in the system. Here are three key reasons why lenses are critical in machine vision applications:
(1)Best image quality
The lens plays a vital role in capturing high-quality images. It determines factors such as resolution, distortion, and color accuracy. Choosing the right lens ensures that the system can accurately analyze images and make precise decisions.
(2)Proper field of view
The lens determines the field of view, which is the area that the camera can capture. It is essential to choose a lens with the appropriate focal length to ensure that you cover the desired area and capture the necessary details.
The field of view captured by the lens
(3)Compatibility with cameras and lighting
The lens must be compatible with your camera and lighting setup to achieve optimal performance. Consider factors such as the lens’ mount type, sensor size, and working distance to ensure seamless integration with the rest of your system.
2、No consideration of environmental factors
The experience of most people is that environmental factors are often not taken into consideration when selecting machine vision lenses. Little do they realize that this oversight can cause major problems with the performance and life of the lens.
Environmental factors such as temperature, humidity, and dust can adversely affect the lens and ultimately the accuracy and reliability of the machine vision system. Extreme temperatures can cause the lens to deform or affect internal components, while high humidity can cause condensation and fogging inside the lens.
Additionally, dust particles can accumulate on the surface of the lens, causing image degradation and potentially damaging the lens. Therefore, it is important to thoroughly evaluate the environmental conditions in which the machine vision system will operate and select a lens that is specifically designed to withstand those conditions.
Environmental impact on the lens
3、Resolution and image quality are not considered
Do we consider resolution and image quality when selecting machine vision lenses? Considering these factors is critical to ensuring accurate and reliable results. Here are some common mistakes to avoid:
(1)Ignore resolution requirements:
A.If the lens resolution does not match the camera sensor resolution, the result will be image degradation and loss of important details.
B.Selecting a lens with a lower resolution than required will limit the system’s ability to accurately detect and measure objects.
(2)Ignore image distortion:
A.Lens distortion can affect the accuracy of measurements and lead to analysis errors.
B.Understanding the distortion characteristics of a lens and selecting the lens with the least distortion is critical to accurate machine vision applications.
(3)Ignore lens coating and optical quality:
A.Coatings reduce reflections and improve the light transmission of the lens, resulting in clearer images.
B.Selecting high-quality lenses with superior optical performance can minimize aberrations and ensure clearer, more accurate images.
Final Thoughts：
ChuangAn has carried out the preliminary design and production of machine vision lenses, which are used in all aspects of machine vision systems. If you are interested in or have needs for machine vision lenses, please contact us as soon as possible.
Post time: Dec-31-2024
