8 tips for optimal machine vision lighting
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Eight Tips for Optimal
Machine Vision Lighting
Tips for Choosing the Right Lighting
for Machine Vision Applications
Technology White Paper
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Technology White Paper
Eight Tips for Optimal Lighting
Machine vision systems rely on quality images or quality
output. High quality images enable the system to accu-
rately interpret the inormation extracted rom an object
under inspection, resulting in reliable, repeatable system
perormance. The quality o the image acquired in any
vision application is highly dependent on the lighting con-
fguration: the color, angle, and amount o lighting used
to illuminate an object can mean the dierence between
a good image, resulting in good perormance, and a poor
image, yielding poor results.
Machine vision lighting should maximize eature contrast
while minimizing contrast o the rest, thereby allowing the
camera to clearly “see” the part or mark. High contrast
eatures simpliy integration and improve reliability; im-
ages with poor contrast and uneven illumination require
more eort rom the system and increase processing
time. The optimal lighting confguration is dependent on
the size o the part to be inspected, its surace eatures
and part geometry, and the system needs. With a broad
range o wavelength (color), feld o view (size), and ge-
ometry (shape) options available, machine vision lightingcan be tailored to specifc application requirements.
This white paper provides tips for choosing the optimal lighting solution for a machine vision application. Proper lighting is critical to the
success of a machine vision application, and should be the first consideration when setting up a system. A well planned lighting solu-
tion will result in better system performance and save time, effort, and money in the long run. This paper presents the following tips:
1. Use Bright Light to Detect Missing Material
2. Use Appropriate Wavelength for Accurate Component Placement
3. Use Non-Diffused Light to Detect Cracks in Glass
4. Use Diffused Light to Inspect Transparent Packaging
5. Use Color to Create Contrast
6. Use Strobed Light for Rapidly Moving Parts
7. Use Infrared Light to Eliminate Reflections
8. Use Infrared Light to Diminish Color Variation
Microscan Systems, Inc.
Effects of lighting techniques on a ball bearing
The ball bearing Fiber optic
ring light
Fluorescent
ring light
Diused
dome light
NERLITE
DOAL
NERLITE
SCDI
NERLITE
CDI
1 www.microscan.com
Five Considerations When Choosing Lighting:
• Is the surface flat, slightly bumpy or very bumpy?
• Is the surface matte or shiny?
• Is the object curved or flat?
• What is the color of the barcode or mark?
• Are you inspecting moving parts or stationary objects?
BEFORE
CORRECT LIGHTING
AFTER
CORRECT LIGHTING
How Does Lighting Affect a Vision Application?
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Identiying missing material rom plastic molding applications
is important to ensure good sealing suraces. When material
is missing, you have a “short shot” condition (i.e. insufcient
quantity o material injected into the mold). To identiy short
shots, a NERLITE®DOAL®(Diuse On-Axis Light) illuminator
is used to highlight missing material on the sealing surace.
The bright feld lighting technique relies on surace texture
and at topography. Light rays hitting a at specular suracereect light strongly back to the camera, creating a bright
area. Roughly textured or missing suraces scatter the light
away rom the camera, creating dark areas.
Tip #1: Use Bright Light to Detect Missing Material
Good part presents a bright, well-defnedannular area to the camera
Bad (short shot) par t reects light away rom camera,presenting dark areas that indicate rejects
Problem:
Solution:
Material is absent during the molding opera-
tion (short shot), presenting a ailure in the
bottle sealing surace.
NERLITE® DOAL® light source reects
brightly o the at sealing surace o a good
bottle. This presents the camera with a
well-defned bright annular area. A short shoteliminates the at specular surace, scatter-
ing the light away rom the camera and allow-
ing easy identifcation.
Identiying “Short Shots” in Plastic Molding
Are your shots falling short?
Illumination Technique: Bright Field
Illumination Example:
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Tip #2: Use Appropriate Wavelength for Accurate Component Placement
Proper placement easily identifed by bright appearance o components
“Flipped” components appear dark, enabling reject detection
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Identiying proper component orientation is a common ma-
chine vision application in PCB assembly. In this example,
chips were incorrectly “ipped” in an automated assembly
step. Instead o being placed onto the substrate with copper
side down or proper electrical connection, the chip is ipped
over, silver side down, causing component and assembly
ailure.
To identiy problem assemblies, a NERLITE®DOAL®
illuminator with a blue wavelength is used to highlight chip
orientation. This lighting technique relies on wavelength and
coaxial lighting geometry. The blue wavelength (460 nm)
sharply dierentiates the silver and copper suraces: copper
absorbs the blue light and appears dark, silver reects the
blue light and appears bright. The unique NERLITE®coaxial
lighting geometry eliminates the root cause o alse rejects:
unwanted glare, reections and dark spots.
Problem:
Solution:
During circuit assembly, chips can be acci-
dentally “ipped” upside down on the circuit
boards, resulting in both component and
assembly ailure.
A NERLITE®DOAL®light source in the
proper color will reect brightly o o prop-
erly installed components, while improperly installed components absorb the light and
appear dark. The sharp dierence in contrast
is quickly recognized by the machine vision
system, enabling real-time process correc-
tions.
Are your chips flipped?
Illumination Technique: Bright Field
Illumination Example:
Inspecting “Flipped Chips”
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Tip #3: Use Non-Diffused Light to Detect Cracks in Glass
Good part presentsa eatureless darkbackground
Field o View (FOV)
Bad (cracked) partpresents a bright, eas-ily detected eature o
interest
Field o View (FOV)
4 www.microscan.com
Detecting cracks during sidewall inspection o glass containers
prior to packaged-goods shipment is an important way to mini-
mize waste, decrease returns and increase consumer confdence.
To detect cracks in transparent material, a NERLITE®Area Array is
used to highlight the imperection.
In this application, dark feld lighting is used to create a bright,
easily detectable eature o interest within a dark background.
Light rays are directed at the transparent bottle rom a dark feld
region (i.e. rom outside the camera’s feld o view). Most o the
rays pass through the transparent object undetected by the cam-
era. I a material irregularity such as a crack exists, some light
rays strike that irregularity. Cracks, in particular, create an internal
void, where light rays reract and reect, scattering in many direc-
tions including back to the camera. These are the rays that turn
an otherwise difcult to detect crack into a bright eature on the
dark background.
Problem:
Solution:
Cracks in glass containers occurring dur-
ing manuacturing and handling must be
identifed prior to fll operations.
Use o a non-diused NERLITE®Area Ar-
ray in the dark feld region provides light
which will reract and reect o cracksin the glass. The resulting image depicts
a bright eature (the deect) on a dark
background.
You’ve had your fill of glass defects
Illumination Technique: Dark Field
Illumination Example:
Detecting Cracks in Glass Containers
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Empty wells appear dark and are easily detected by the vision system
High contrast enables detection o misshapen (damaged) contents
Tip #4: Use Diffuse Light to Inspect Transparent Packaging
Detecting missing, damaged and/or incorrect contents in the cells
o blister packages is an important inspection step or ensuring the
quality o fnished pharmaceutical goods. Illuminating the packages to
avoid reections rom cell coverings can oten be a tough challenge.
To present an accurate image o the cells and their contents to the
machine vision camera, a NERLITE®CDI®(Cloudy Day Illuminator)
employing white LEDs is used. The CDI eliminates reections rom the
clear cell coverings, making them virtually disappear, while at the same
time providing a high contrast, neutral color view o the cell contents.
The continuous diuse lighting technique de-emphasizes surace tex-
tures and changes in elevation. It provides a very large solid angle o
illumination to guide light rays to the object rom a multitude o angles,
thereby eliminating the reections and shadows typical o unidirection-
al or single-plane light sources.
Problem:
Solution:
Manuacturer needs to detect miss-
ing, broken and/or incorrect objects
(by their shape or color) in the cells
o blister packages.
Use NERLITE®CDI®light source to
bathe the object in uniorm white
light rom every angle. This presents
the camera with a glare-ree image
o blister pack cell contents and the
clear blister coverings virtually disap-
pear rom view.
What’s inside that blister?
Illumination Technique: Continuous Diffuse
Illumination Example:
Veriying Contents o Blister Packs
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Tip #5: Use Color to Create Contrast
A useul method or creating a high contrast image in
a machine vision application is to illuminate the object
with light o a particular wavelength (color). A light’s
wavelength can make eatures with color appear eitherbright or dark to the monochrome camera. Using the
color wheel as a reerence, choose light o an opposing
color to make eatures dark; choose light o the same
color to make eatures light.
Blue IlluminationRed Illumination
A light should be strobed when a part is moving quickly and
the image captured appears blurred. Use the ormula on
the right to calculate Strobe Pulse Width (maximum accept-
able blur image = 1 pixel).
In the ormula, feld o view (FOV) and pixels are rom the
axis o travel. For example, assuming a typical 1 inch FOV
and a 640 pixel rame, and a part speed o 500 inches per
second, a strobe pulse width o 3.1 μs is needed.
NERLITE® strobe models are available or high speed applications
Tip #6: Use Strobed Light for Rapidly Moving Parts
Tip #7: Use Infrared Light to Eliminate Reflections
Reection rom AmbientLight Results in Inaccu-rate Cap Measurement
Inrared Light RemovesUnwanted Reection
Original Part
Machine vision systems rely on transitions o gray
levels in a digital image. In many vision applications,
ambient light (i.e. overhead room lighting) sources
contribute unwanted bright reections that make it
difcult or impossible or the vision system to detect
the eatures o interest. An inrared (IR) light source
can be used to eliminate this problem.
Examples:
• I the eature you want to make darker is red,
use a green light.• Use a green light to make a green eature
appear lighter.
• Note the dierences in red and blue lighting on
printed aluminum below:
Strobe Pulse Width =
Field o View (in) ÷ Pixels
Part Speed (in/s)
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Inrared light can be used to diminish the grayscale dier-
ence between colored objects. Dark objects absorb inrared
light waves, thereby creating uniormity in objects o other-
wise varying shades. This lighting solution acilitates detec-
tion o inconsistencies where color or shade variation is
expected and should not aect inspection.
Tip #8: Use Infrared Light to Diminish Color Variation
Infrared LightGrayscale Camera
White LightGrayscale Camera
www.microscan.com
North America (Corporate Headquarters)Email: [email protected]
EuropeEmail: [email protected]
Asia PacificEmail: [email protected]
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Machine Vision L ighting solutions from Microscan
Microscan’s innovative NERLITE® line o products is the longest established brand o machine vision lighting, enabling machine
vision and auto ID systems to perorm reliably in thousands o applications worldwide.
A global technology leader with extensive solutions or ID tracking, traceability and inspection, Microscan’s line o 1D and 2D bar-
code readers, machine vision systems, and machine vision lighting is backed by one o the world’s most robust patent portolios
and years o proven perormance in the feld. Supported by a highly skilled global integrator network, Microscan products are known
and trusted by customers worldwide or their high precision and reliability in industrial automation and control applications, with
solutions ranging rom basic barcode reading to complex machine vision inspection, gauging, and measurement.
More inormation on Microscan is available at www.microscan.com.
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