Industrial borescopes usually have only millions of pixels (such as 1 million pixels or 2 million pixels). This limitation is mainly caused by the following key factors:
Probe size and tube diameter:
The probe of an industrial borescope needs to enter a narrow space for inspection, so its size is strictly limited.
The smaller the tube diameter, the smaller the sensor and lens size that can be accommodated, which limits the improvement of pixels.
Detection requirements:
Industrial borescopes are mainly used to detect the structure, defects or damage inside objects, and the requirements for pixels are not extremely high.
The appropriate pixel level is sufficient to meet the needs of most industrial inspection tasks.
The cost of high-resolution sensors:
High-resolution sensors are usually accompanied by higher manufacturing costs.
In the application scenarios of industrial borescopes , excessive costs may not meet the actual needs or budget constraints of users.
Benefit analysis:
The improvement of pixels may bring problems such as slower processing speed and increased storage space.
For most industrial inspection tasks, megapixels can already provide clear enough images to meet the needs.
Optical system design:
The optical system of an industrial borescope includes components such as lenses and objective lenses, and their design and quality directly affect the clarity and resolution of the image.
Designing a high-quality optical system in a limited space is a technical challenge.
Lighting system:
The lighting system is one of the key factors affecting the clarity of the borescope image.
The appropriate light source and lighting method can ensure the clarity and contrast of the detected object, thereby improving the overall quality of the image.
Software optimization:
Although the software has limited direct impact on pixels, the clarity and detail display of the image can be improved through algorithm optimization.
For example, image quality can be improved through algorithms such as image enhancement, noise reduction, and contrast increase.
Image processing technology:
Image processing technology can be used to further extract and analyze key information in the image, thereby improving detection efficiency and accuracy.
In summary, the pixels of industrial borescopes are usually only in the millions, which is the result of the combined effect of many factors such as technology and application limitations, cost and benefit considerations, optical and system design, and software optimization and image processing. In actual applications, users should choose suitable industrial borescope models and specifications based on their own detection needs and budget constraints.
Industrial borescope
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