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Mstar Technologies, Inc, as a leading provider of a comprehensive Machine Vision System in China, was founded in March 2012, located in Zhejiangoverseas High-Level Talents Innovation Park. Mstar Technologies, Inc, is a company engaged in the area of development and production of machine vision products including machine vision system, industrial camera, FA lenses, machine vision lightings, infrared thermal cameras and etc..
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Machine Vision Lights
Machine Vision Illumination
Illumination is one of the most critical components of a machine vision system. The selection of the appropriate lighting component for a specific application is very important to ensure that a machine vision system performs its tasks consistently and reliably.
The main reason is that improper illumination results in loss of information which, in most cases, cannot be recovered via software. This is why the selection of quality lighting components is of primary importance: there is no software algorithm capable of revealing features that are not correctly illuminated.
To make the most appropriate choice, one must consider many different parameters, including:
• Lighting geometry
• Light source type
• Wavelength
• Surface property of the material to be inspected or measured (e.g. color, refectivity)
• Item shape
• Item speed (inline or offline application)
• Mechanical constraints
• Environment considerations
• Cost
Since many parameters must be considered, the choice can be difficult and sometimes the wisest advice is to perform feasibility studies with different light types to reveal the features of interest. On the other hand, there are a number of simple rules and good practices that can help select the proper lights and improve the image quality.
For every application, the main objectives are the following:
1. Maximizing the contrast of the features that must be inspected or measured
2. Minimizing the contrast of the features of no interest
3. Getting rid of unwanted variations caused by:
a. Ambient light
b. Differences between items that are non-relevant to the inspection task
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16 products found
Compared with LS3 series, LS4 series has a higher light intensity.
Light Units with an emitting surface length of 75 mm to 1,800 mm are available at affordable prices.
Dome illuminators are designed to provide uniform illumination of complex surfaces.
TZ series coaxial lights that provide coaxial illumination ideal for inspection of scratches/dents on glossy surfaces.
Provide light from the same axis as the camera and a wide range of uniform illumination.
Optimizes the lights with unique material making the light radiate in parallel.
They are ideal for inspecting large workpieces and available to inspect a wide area.
Back lights enable crisp silhouetting of target profiles to enable high precision measurement or part differentiation.
The square lights are made up of four bars lights, which can be individually controlled and positioned.
This is perfect for square workpieces: detecting the outline of corners and preventing glare.
A unique light guiding method provides uniform diffused illumination and eliminates LED glare and shadows.
Optimal soft, uniform light for shiny surfaces; Diffused, shadowless illumination preventing halation effect
Optimal soft, uniform light for shiny surfaces; Diffused, shadowless illumination preventing halation effect
Strips of LED lights providing high flexibility for installation position and angle
The features of the workpiece can be clearly extracted with direct light from a low angle towards the center of the workpiece.
The required irradiance is ensured by radiating direct light towards the center of the workpiece.
Mstar Technologies, Inc, as a leading provider of a comprehensive Machine Vision System in China, was founded in March 2012, located in Zhejiangoverseas High-Level Talents Innovation Park. Mstar Technologies, Inc, is a company engaged in the area of development and production of machine vision products including machine vision system, industrial camera, FA lenses, machine vision lightings, infrared thermal cameras and etc..