Vision Sensor Technology: Driving the Automotive Industry
The growing automation industry and the rapidly evolving
advanced automation technology are driving the propagation of vision sensor
technology due to the integrated use of vision in manufacturing products
worldwide. The retail and consumer goods industry is also growing at a
significant pace, whereby the mandate of these sensors is rapidly aggregating
for bar code scanning purposes.
What is a vision
sensor?
Vision sensors are self-contained devices that incorporate a
single compact vision lighting unit, lens, and camera, making it easier to
employ them. Vision sensors with a range of lenses and lighting options are
available to fit a single device into different applications.
Global Vision Sensor Market Size (2018-2024) | KBV Research |
Vision sensor systems design and structure consist of a
display, interface, video camera, and a computer processor which automates
industrial processes. These sensors are extensively used for pass/fail
decisions, measurement, and other observable product quality characteristics.
These parts are integral to manufacturing processes as they
focus solely on improving efficiency. Using images captured by the camera,
vision sensors can also be used to determine a part's orientation, presence,
and accuracy. They are different from other sensors that are intended for
general purposes. For example, a single vision sensor can perform
multi-position inspections and even after detection, the target position is not
consistent.
The role of Vision
Sensors across several industries:
·
Pharmaceuticals
In the pharmaceutical industry, it is extremely important to
count tablets and gel capsules before they are filled into containers. To meet
these requirements, companies are developing a range of electronic counting and
packaging systems that can be used as independent units or can be used within
an integrated packaging line.
·
Automotive
The automotive industry is expected to be a key end-user
industry for vision sensors due to the growing demand for these sensors for
inspection, identification and localization applications. Applications that
will boost this industry's demand for vision sensors include inspection of
various parts and components, identification of defective components, and
component default. Increased use of factory automation will escalate the demand
for these sensors to reduce production time and inspection costs.
·
Consumer
Electronics
The need for a greater resolution to measure small
deficiencies and steps in today's mobile phone assemblies is the driving force
behind all of today's innovation in the 3D sensor industry. Inspection of
electronics is a demanding application for machine vision systems–it creates
productivity benefits for inspection applications in various innovative ways.
With faster inspection times, machine vision technology increases production
performance. High frame rate cameras with real-time processing capabilities
dramatically reduce inspection time, similar to cameras with multiple areas of
interest and a broader field of view. Machine vision cameras improve precision
and performance.
·
Food
& Packaging
Compared to any other industry, the products in this segment
must be manufactured without faults due to health implications, they must be
traceable and sustainable. In this context, vision technology as a high-tech performance
and economic method for automated optical inspection find new applications in
the food industry. Vision systems in the food industry are partly subjected to
extreme environmental conditions. The components and systems used therefore
must be extremely robust in mechanical terms or placed in appropriate
protective housings. Another factor is that processes of vision technology
typically involve various production phases. In this case, it is beneficial to
respond to a large number of tasks involved in a high-performance software
library regardless of hardware.
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Where do we see
Vision Sensors?
1. Inspection
A great vision application uses a vision sensor to inspect
on the basis of a pattern-matching approach. Reason being, it typically
requires capturing an image of the correct condition. The vision sensor sends
an unsubscribed output and rejects the product when an unmatched part is
detected by the sensor. For example, a vision sensor can check the presence of
a label on a product.
2. Code Reading
Code reading will be a critical activity in industries such
as food & beverages, and packaging and logistics in the coming years. Fixed
or handheld code readers would play an important role in marking, identifying
and tracking products on a conveyor belt or during transit to the desired
location 1D or 2D code readers. The growing need for vision sensors from the
automotive industry and food and packaging industries is going to have a
significant impact on the development of the code reader technology for vision sensors.
3. Gauging
A viewing system to measure distances on an object between
two or more points or geometric locations calculates and determines whether
such measurements comply with specifications. If not, the viewing system
transmits a failed signal to the controller, causing the object to be thrown
away from the line to a refuse mechanism. A fixed-mount camera captures images
of parts when they pass the field of view of the camera and the system uses the
software to calculate distances between several points in the image. As many
vision systems can measure objects within 0.0254 millimeters, a number of
applications are traditionally handled by contact gauging.
How does a vision
sensor work?
Vision sensors use camera pictures to determine component
presence, orientation, and accuracy. These sensors differ from image inspection
systems because there is one single unit in which the camera, light, and
controller make building and operating the unit easier. Furthermore, the target
position can be detected even if the large field of view is not consistent.
Vision sensors operate in a wide range of applications.
Usually, they consist of a video camera, a display, and an interface. These
vision sensors require automated industrial processes and decisions, recorded
measures, initiated decisions taken or failed, and compliance with the quality
of analyzable products. Some vision sensors also have an integrated processor
called intelligent cameras.
Vision sensors use images to determine the presence,
orientation, and accuracy of surrounding objects. A combination of image
acquisition and image processing is provided for the sensors. For a multi-point
inspection, a single sensor can be used. Furthermore, vision sensors can
interchange the data between the video camera and the computer.
An Overview
The Vision Sensor industry has moved to technologies that
provide a panoramic and/or three-dimensional image view, night vision and
improved signal processing to enable smart decision-making in sensors. This
will result in safer roads worldwide. The challenges associated with congested
and ill-treated roads provide plenty of opportunities to develop and test
equipment.
Customer demands can drive developments in technology.
Customers prefer to use intelligent cameras in the packaging and pharmaceutical
industries to packaging codes in one single image up to the case level.
Intelligent cameras have been built to handle larger quantities of data over
time. There are also robust sensors on the market and can perform several
inspection tasks at once. In the coming years, the global Vision Sensor
market will appear at a CAGR of 11.8 %.
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