Machine vision is a type of technology used to help computers in
visualizing the work environment. This technology is utilized to
automatically inspect images captured by it, after which they are
analyzed. It helps in process control, automatic inspection, and
robot guidance in a particular industry. It uses smart cameras and
image processing devices in place of manual measurements and
inspections. These smart cameras run independently and operate
without using computers. The growing adoption of machine vision
systems within non-industrial and industrial sectors is predicted to
raise the growth of the market for machine vision in the coming
years. Machine visions systems are used in a number of areas such as
electronics, semiconductors, the food and beverage industry,
packaging, automobiles, textiles, banking, security and surveillance,
and traffic controlling, among others.
Usage of machine vision technology in the food and beverage industry
and elaborates on the ways this technology has transformed the
overall industry.
> Harvesting and Quality Control: Machine vision technology
enables automated harvesting and thus reduces the overall costs. The
automated harvesting process can also be extended to product
processing and grading. For instance, nowadays this technology is
employed for apple picking and vegetable root removal processes.
Machine vision technology is also used to ensure quality control
owing to the fact that quality plays a key role in the growth of
premium brand foods. Machine-vision-based quality control systems
ensure uniform distribution of buns and pizza toppings and are being
adopted in a number of international food chains globally.
> Grading-sorting and Picking-packing: Machine vision technology
also maximizes the overall quality of bulk produce, such as rice and
pulses, by the removal of contaminants. In addition, the grading of
meats, fruits, and potatoes ensures premium prices for a number of
brands. Furthermore, machine vision systems working in collaboration
with robotics allow consistent packaging, even in cases where a
number of products have been mixed, and ensure proper display of
foods within the packaged containers.
Important Aspects of Machine Vision Technology -
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> Bottling and Food Safety: Machine vision systems are used to
ensure accurate fill levels in bottles. This technology ensures the
safety of customers by checking for proper seals and caps in bottles.
In addition, they keep the manufacturer informed about any type of
contamination within the liquid stored in sealed bottles. This is why
these systems are being widely employed within a number of segments
of the food and beverages industry.
> In-Store Analytics and Easy Checkouts in Supermarkets and
Hypermarkets: Machine vision systems are also used for automatic
identification of any kind of suspicious behavior or known criminals
in malls and supermarkets. In addition, a number of supermarkets and
hypermarkets globally have installed self-service machine vision
technology, in which shoppers can pay on their own without the need
for any assistant at the checkout point. This self-service machine
vision technology has reduced the occurrence of fraud and has
enhanced the overall shopping experience of customers.
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