Page 39 - FoodFocusThailand No.209 AUGUST 2023

SMART PRODUCTION

internal irregularities, such as cavities or non-standard ข้้อมููลเพิ่่�มูเติ่มู / Additional Information
grains, dark spots, and sizes; as illustrated in Figure 2, 1 Belt Optical Sorter from Satake Corporation, a Japanese company that
the technology uses high air pressure to sort out distributes machinery for processing and sorting agricultural products,
sub-standard products from the machine. such as rice, grains, beans, etc.
2. Product inspection before packing The process 2 Tishma Technologies, a designer and manufacturer of packaging ma
of product quality inspection focuses on checking for chines and systems.
defects before they are packaged. This can be applied 3 Dragontail Systems Limited, is a company that uses smart connected
to various products, such as sub-standard crackers that technology to manage the entire food preparation process, from ordering
deviate from the specified attributes. The result is right up to delivery.
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displayed as a red area (heatmap) on the computer Pest-Vision Station, an insect counter machine from Semco Co., Ltd.,
screen, as shown in Figure 3. Japan, that specializes in pest control products and chemicals.
Additionally, it can also be used to accurately detect
foreign matter through the use of a 4K resolution camera เอกสารอ้างอ่ง / References
https://www.data-spree.com/blog/making-food-processing-quality-more-re
to inspect tiny plastic particles and hair strands with a liable-with-vision-ai
diameter of 0.1 mm, which, if left undetected, may https://www.robrosystems.com/industries/food-beverages
contaminate the cup noodles before the sealing https://qualitastech.com/use-cases/benefits-of-machine-vision-technology-
process. for-food-beverage-industry/
3. Quality inspection of the packing process Visual https://timesofindia.indiatimes.com/blogs/voices/benefits-of-leveraging-
inspections can also be used to inspect packing ai-driven-visual-inspection-in-manufacturing/
processes through AI and camera technology to check https://www.araya.org/en/projects/visual-inspection-food/
the print quality, including the completeness of the https://www.datawow.co.th/ai-consultation/food
information on the label. Additionally, the quality of the https://vision.riverplus.com/deep-learning-%E0%B8%81%E0%B8%A5%E
sealing and the integrity of the packaging can be verified, 0%B9%89%E0%B8%AD%E0%B8%87%E0%B8%95%E0%B8%A3%E0
such as whether the lid is broken, if the packaging %B8%A7%E0%B8%88%E0%B8%AA%E0%B8%AD%E0%B8%9A%E0
contains scratches or stains, etc. The packaging process %B8%8A%E0%B8%B4%E0%B9%89%E0%B8%99%E0%B8%87%E0%
developer has also successfully leveraged AI to B8%B2%E0%B8%99/
2
inspect heat seals, such as packaging types, packaging https://engineer.kmitl.ac.th/post/30763
with creases, double sealing, or sealings that do not https://aws.amazon.com/th/what-is/machine-learning/
follow the specified path, etc. Defects will be displayed https://www.foodfocusthailand.com/news/fooma-japan-2023exhibition
in the form of a heatmap, as shown in Figure 4, and https://news.tminn.com/safe-seal-ai-vision-seal-inspection/
inspections can be made at a speed of up to 500 pieces https://pest-vision.semco.net/en/
per minute.
4. Health and safety inspections The hygiene of
the operators in the production process requires
consistent inspection, so adopting an automated AI
system is the solution to ensure that they strictly wear
masks, gloves, or other safety equipment during their
work on the production line. During the past COVID-19
pandemic, one company had installed cameras in front
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and behind the store to monitor their staff to ensure that
they were dressed correctly and that the food being
prepared and served was clean and sterile.
Camera and AI technology can also be used in insect
counting with the Pest-Vision Station . The process can
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effectively conduct a count of insects on glue sheets with
an accuracy of up to 95 percent and accurately identify
their species by up to 85 percent. It can then calculate
the data into a statistical value for evaluating the types
and numbers of insects found in order to analyze the
infestation routes and their origins in detail. It can be
further applied to plan an effective insect and disease
carrier control system.
Visual inspection is one of the latest vision technology
in the food manufacturing industry that can effectively
monitor, track, and store data at every step of the
production process, even on fast-moving conveyer belts,
which can provide inspections more accurately than the
human eyes. It also aids in enhancing production
efficiency, reducing human error, and improving quality
control. It cannot be denied that fewer errors mean lower
production costs. However, the most important outcome
is the satisfaction and confidence of consumers to receive
consistent quality food that meets their expectations!

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