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We supply
Integrated Intelligent Machine Vision
Solutions for the following
industrial automation applications: |
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-
Quality Control of
industrial products |
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- Automatic Sorting
and Grading |
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- Automated Machining
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- Machine Learning and
Reasoning |
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- Robot
Trajectory Planning |
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- Robust Visual Target
Tracking |
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- Geometric 2D/3D
Vision |
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- Infrared Thermal
Inspection |
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Melting Process Control |
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We try to pursue
and observe the legislated regulations of international
societies and associations to integrate standard products. Our
systems are
adopted to work in automated production lines. In a structured
control system, they communicate with other distributed PLC or
PC-based controllers through industrial digital networks. |
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Machine Vision for
Inspection of Industrial Products
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Industrial production lines are equipped with automatic visual inspection workstations in order to qualify the technical specifications
of artifacts and defect detection. In the qualification process, visual features of products are examined and controlled with integrated machineries.
The inspected features are shape and size, color or texture of plant productions.
Machine Vision makes the examining process of these features more reliable.
It’s also a low cost and high performance solution for quality control.
In an intelligent machine vision solution,
the mechatronic part of system handles products to be aligned correctly in the field of view of optical imaging devices
(camera/scanner). Sequential images are captured by the electronic part of imaging subsystem (frame grabber) and software system processes
these images to extract the required features. There are machine learning and test and measurement software modules to make a reliable
decision about possible defects. Finally system’s mechatronic controls the actuators to apply the test results. This sequence is arranged
in a real-time controlled loop to be executed repeatedly. Kavian Afzar Co. has been designed and developed this solution in the
KA-MVIS-1038
system structure:
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KA-MVIS-1038R System Structure |
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Application of Machine Vision in Metal Sheet Quality Control
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Inspecting surface of metal sheets to find and label
the pre-defined defects is an example of machine vision
application in casting process.
The defects of casting are small cavities, crashes, scratches etc.
Inspecting and control panel can classify these defects and label them to grade the plant’s productions.
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Copper Sheet Defects |
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Metal sheet surface is captured by cameras and the classified defects of manufacturing or material itself are
recognized and labeled. Geometric specification of defects
and texture features of metal sheet are archived
simultaneously. You should consider that there are some
constraints in sampling time related to the camera's frame
rate, image processing and decision making periods. The
machine vision systems is equipped with
ASHALogic 2.0
Advisory system to solve the manufacturing problem.
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Automatic Sorting and Grading
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Mechanical mechanisms are used widely in sorting and grading applications.
These mechanisms are reliable but not smart enough to make intelligent decisions.
Moreover, design of combinational sorting systems is complicated by different requirements of production process.
Typical tasks of Machine Vision systems are inspecting,
grading, sorting, monitoring and guiding in these cases.
Therefore a control panel can perform so many duties just by
camera sensors and electronic interfaces. There some
challenges in optical sorting. For example in fruit grading,
vibration and rotation of fruits under field of view of
camera is a constraint for reliable sorting. |
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Sorting and Grading of Ceramic Tiles
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Human eye can detect a small amount of color degradation of ceramic tiles when are floored
continually.
This is a trouble for tile manufacturers that should be take
care of their customers' satisfaction. |
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Ceramic Tiles Color Inspection |
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Color sorting of tiles is dependent to
diffuse and uniform illumination. Some optical filters
are used to regulate the spectrum of unwanted reflections. CCD sensor of cameras are examined
for detectable color regions.
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Automated Machining
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Welding, cutting, trimming, painting and handling are guided with
2D/3D robot vision solutions. Kavian Afzar Co. has developed a
Robot Vision Solution to overcome robot’s trajectory planning.
Vision Guided Robots can handle parts and materials in their work space.
Expert Robots can perform precise operations that could be a great labor for well trained workers.
Vision guided robots carry out the automated machining
efficiently with the following advantages:
- Minimum waste and rework tasks
- Maximum reliability to well done duties
- Uniform output results
- True applied technical standards
- Working in hazardous environments
KA2001 provides a stereoscopic view for robot’s path assigning.
Actually it is a geometric vision system that provides feedback for the motion and position control of robot.
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Infrared Thermal Inspection
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Thermal imaging is used as a non-contact temperature sensing method. Kavian Afzar has introduced
the
Infrashot System as an automatic temperature mapper for Infrared Thermography inspection.
It's used in predictive maintenance and condition monitoring test methods. It can be used as a real-time temperature profile processing module
too.
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Remapping an Isotherm to different temperatures in a sample thermogram |
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Filtered and reduced color images from sample thermogram |
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Since Infrashot is commonly used in automated examining
of thermeograms of heated objects,
the annealed metals or ceramics, backed foods, glass meltings, electrical panels,
fueled engines and many other heated objects can be inspected by
this thermovision software application.
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Please Explore
our all products and services to upgrade your plant's
manufacturing or QC technology with Machine Vision solutions!
Contact us
for more technical details.
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