There are a wide variety of machine vision software industries. How to choose a machine vision software that suits your needs? Below is a list of 10 must-have elements for the OFweek Robot Network.
1, locator
The precise positioning of an object or feature is an important function of a detection system or a visually guided motion system. Traditional object positioning uses gray value correlation to identify objects. Although this technique has been widely used, it lacks stability in the case of poor image quality. Image quality degradation may be due to factors such as clutter, brightness, and occlusion. In contrast, geometric object localization is the most up-to-date method of using objects' outlines to identify objects and their features.
2. Optical devices and lighting
It is well known that proper optics and illumination are critical to the success of vision applications. Sometimes, although the most appropriate optics and illumination are selected, if the object or feature being monitored is slightly changed, the lighting and illumination brightness are required to be changed accordingly. For example, the polished surface of the wafer differs in the quality of the laser etched mark in OCR applications. A stable positioning tool can easily handle the deterioration of image quality due to changes in light accumulation and brightness. Using the right software allows you to eliminate the necessary dimming operations, regardless of how their image quality changes.
3, a complete set of tools tied to multiple tools
Machine vision software is sold in two typical forms: one is a complete set of visual tools, and the other is the application of tools for specific tasks, such as BGA testing. The end user's application will decide whether to use a complete set of visual tools or a number of specific tools. A visual tool is a general application or algorithm that performs a predetermined task on an image or a portion of an image. For example, a spot detection tool can find a set of dark or bright pixels and measure the various sizes of the spot. The focus of choosing a vision system is to have a complete set of visual tools. Although you don't need all the tools at the beginning of the project, your requirements will change in a few years, and additional tools may be needed for new applications.
4, programming and operation is convenient
A simple, intuitive graphical interface is key to ease of use and setup. The main difference between today's machine vision products is their graphical interface. The interface should be evaluated from both "setup" and "operation". For an engineer, it should be very complicated and should be very simple for an operator.
5, sub-pixel precision
The resolution of the vision system is the smallest feature that the system can distinguish. For example, a visual range (FOV) of 1 would result in a 1/640 resolution or 0.00156 using a 640x480 pixel computer image. In fact, machine vision algorithms have sub-pixel capabilities. That is, these algorithms can measure or derive smaller units than one pixel.
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