Machine Vision Pixel Resolution Calculator
Calculate spatial resolution and minimum feature detection for industrial inspection systems.
Calculation Results
What is Machine Vision Pixel Resolution?
In machine vision systems, pixel resolution (often called spatial resolution) determines the smallest detail a camera can capture within its field of view (FOV). It represents the physical size that each individual pixel on the sensor covers in the real world. This metric is critical for ensuring that an inspection system can accurately detect defects, measure dimensions, or read barcodes.
How to Calculate Pixel Resolution
To calculate the resolution, you divide the Field of View (the physical area visible to the camera) by the number of pixels on the sensor in that same dimension. For example, if your camera sees an area 100mm wide and has a horizontal resolution of 2448 pixels, each pixel covers approximately 0.04mm. This calculator automates this process to help engineers select the right camera and lens combination.
The Importance of Feature Detection
A common mistake in machine vision design is assuming that if a pixel size is 0.04mm, you can detect a 0.04mm object. In reality, the Nyquist-Shannon sampling theorem and practical optics suggest you need multiple pixels to reliably detect a feature. Usually, a minimum of 2 pixels is required for detection, and 3 to 5 pixels are recommended for accurate measurement or character recognition (OCR).
Frequently Asked Questions
While the physical size of the sensor (e.g., 1/2" vs 2/3") affects the lens selection and light sensitivity, the spatial resolution is primarily a function of the pixel count and the Field of View achieved by the lens.
Advanced machine vision algorithms can interpolate data to locate edges with better precision than a single pixel. However, for hardware planning, it is always safer to design based on physical pixel resolution.
The larger your Field of View, the larger the physical area each pixel must cover. If you need to detect smaller defects, you must either increase the camera's resolution or decrease the FOV by moving closer or using a different focal length.