Vision based inspection system overview; for improved productivity and quality.

1. MECHATRIKS AUTOMATION
WWW.MECHATRIKS.COM
Vision Based Quality Inspection Systems
Vol:01

2. Advances in machine vision (MV) technology are creating new opportunities to
increase productivity, quality, and efficiency in a wide range of applications. MV uses
computer cameras in manufacturing to capture and analyze images by extracting data
and assigning properties to the features of the target item.
1. In the past, vision systems were expensive
and difficult to use, but today, these systems
are cost effective, have more capabilities, and
are easy to apply thanks to advances in
software.
2. MV encompasses a large number of related
technologies,
hardware,
and
software
products integrated into a system solution.
MV continues to be applied in a number of
creative ways in a range of industries.
3. Initially MV systems were totally custom
designs requiring a wide range of specialized
skills. Today, icon-based programming
environments that require no programming
expertise result in short development cycles,
higher performance, and flexibility.
4. The latest smart machine vision cameras
incorporate a processor providing a complete
vision inspection solution.

3. 1. The main categories into which MV applications fall are quality assurance, sorting,
material handling, robot guidance, and controlling production.
2. Visions systems have a great deal of advantages including elimination of human
vision bias. Consider the example of the circles and the square box, where to the
human eye the lines of the box do not appear to be straight. In fact, they are straight,
and a vision system will objectively detect this.
3. MV can provide precise inspections at high speeds verifying attributes and guide
products through a process. The value includes removing human inconsistency,
increased productivity, higher production throughput, improved cycle time, higher
quality, and scrap reduction.
4. Technology improvements such as more powerful computer processors, high-speed
cameras, and icon-based software are making machine vision systems easier to apply.
In addition, bandwidth is increasing to allow faster image capture.

4. Mechatriks
Automation
vision
systems are unmatched in
their ability to inspect,
identify and guide parts.
These
self-contained,
industrial grade vision
systems combine a library
of advanced vision tools
with high-speed image
acquisition
and
processing. Best of all,
configuring and deploying
an In-Sight vision system
has never been easier.

5. SIMPLE-TO-FOLLOW
1. Configuration software helps users of all experience levels to quickly setup
their entire In-Sight application—no programming or spreadsheet
knowledge required.
2. The suite of communications capabilities ensures that In-Sight vision
systems easily integrate with any factory network or automation control
system.
3. The operator display panel provides a "plug-and-go" solution, a PC software
version as well as a VGA adapter for monitoring the runtime operation of
any In-Sight vision system on the network.

6. Major Illumination
Detection of floating height of a cap:
This is the most common shape, allowing uniform
intensity of light to be obtained over the entire ring.
There are various types of light sources such as
fluorescent lamps, LEDs, and halogen (fiber) units,
with internal diameters varying from a few dozen to a
few hundred mm.
Detection of contamination of a sheet;
Uniform light can be obtained in a linear shape. This
is suitable for lighting up the front of a sheet
widthwise and the size ranges up to 2 m.
Detection of a hole:
Uniform light can be obtained over the flat surface.
Generally, this is used as a backlight to light up a
transparent container or lead frame from the back.
The size varies from a few dozen square mm on the
side to 500 x 800 mm.
Determining of direction:
This mostly includes fiber lights using halogen light,
allowing high illumination light to be locally obtained.
This is also suitable for expanded images, etc. Various
branched types, such as single, twin, and triple are
available.

7. Major Image Processing
Binarization:
The images captured by a camera are composed of
black and white greyscale pictures of 256 tones.
Binarization defines all tones which are brighter than
a certain threshold as white and the others as black.
This technique is used to detect the existence or sizes
of an object by categorizing the non-detecting and
detecting areas into black and white respectively by
binarization.
Edge detection:
By setting the edge detection window, you can locate
the section where the transition from white to black
or black to white happens within the image and
recognize it as an edge. This method is effective for
detecting the absolute position of an edge.
Recognizes the pattern of an image:
The target pattern is registered and stored in a
pattern window. The pattern window then scans the
specified search window to detect the position that
best matches the registered image.

8. Testimonial
“If you haven’t incorporated machine vision on your automation
line or machines recently, you could be missing out on some
powerful and cost-effective solutions that you probably didn’t
know were out there. Take it from Balaji, Manager of Automation
Engineering at Mechatriks Automation (Chennai, India), which
provides turnkey custom automation solutions for a variety of
industries using advanced computer and automation
technologies.”
- S. Janakiraman
Gala Precision Technology Pvt. Ltd.
(A Hoerbiger Group Company)

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