What is Machine Vision?
Machine
vision is the technology and methods used to provide automatic inspection and
analysis for such applications as automatic inspection, process control, and
robot guidance, usually in industry. According to the Automated Imaging Association (AIA), machine
the vision encompasses all industrial and non-industrial applications in which a
combination of hardware and software provide operational guidance to devices in
their operations based on the capture and processing of images. Thoughts of the
same algorithms and approaches as academic/educational and governmental /
military applications of computer vision, constraints are different. Machine vision systems rely on
digital sensors protected cameras with specialized optics to acquire images, so
that computer hardware and software can process, analyze, and measure various
characteristics for decision making.
What is the Automotive Industry?
The automotive
the industry is a wide range of companies and organizations involved in the design,
development, manufacturing, marketing, and selling of motor vehicles. The industry is not only about the
selling of cars and other motor vehicles, but also involves designing,
manufacturing, and repairing them. The umbrella of the automotive industry also
includes such services as selling of various parts of the automotive industry
and its importance in maintaining efficient operating systems. Automotive
industry’s companies also include activities such as the manufacture of motor
vehicles, engines, and parts except for tires, batteries, and fuel. The history of
automotive industries began with the revolutionary invention of a feasible
internal combustion engine. Most of the automobiles companies were small shops
and could hardly produce a few handmade cars. Nowadays, many automotive
manufacturers are manufacturing hybrid, clean diesel, and electric cars to boost
their sales. Therefore, performances of automotive industries also affect other sectors such as transportation, oil, food, and beverages.
Impact of Machine Vision on Automotive industry
It is clear
that every technology has some positive and negative impact on the industry so
is the case with the automotive industry. Although, machine vision is the eye
of the production process, it has got few impacts on the automotive industry which are
listed below;
1. Even though the machine vision system is simpler
to use however the applications themselves can be extremely complex to
implement.
2. The prices of these machines are
relatively high which eliminates the use of them in small enterprises and
corporation.
3. There is still a need to use expert
labor to fix the problems as the sensitivity of the machine is lower than 80%.
Possible solutions
Consumer
have a wide variety of demand for automobiles hence the price and the quality of
automobile imposes the manufacturer to have a flexible design with zero defects
in a highly competitive market.
The
quality of automobiles depend on the parts of the vehicles, therefore, to prevent these defects, the industry must rely on
on machine vision at multiple stages of production.
The advanced vision systems have their own application
development software such as C programming language. However, the newest version of
the system has made relatively easy using ‘point and click’ graphical environment.
Machine vision systems can perform part
inspections much faster and accurately and inspect parts around the clock than human
inspectors. This has not only increased efficiency but also increased productivity
as well.
Mind up diagram for the applications of Machine Vision
Robotics
The most advanced machine vision systems modify a robot to find the half or subassembly on its operating, notwithstanding rotation
or scale. In many applications, machine vision systems give period knowledge and
live feedback to guide robots as they go through programmed sequences of
operations. To perform this level of machine guidance, a vision system sometimes locates components for the robot to choose up, identifies the correct locations at that to put or fasten the components, and sends this data to the robot for the assembly procedure.
Conclusion
In a nutshell, Machine vision is used in a variety
of ways in the automotive industry but the applications mentioned above
illustrates how safety, quality have in equal parts been the focus of machine
vision allowing the automotive manufacturer to continue innovation. All in all,
Machine Vision and Automotive Industry have played an integral role in human life.
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