Food/Medicine/Cosmetic Manufacturing
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Overview
Since food, medicine, and cosmetic products are either directly ingested or come into direct contact with the skin, they require exceptionally strict quality control. Image inspection with machine vision is now being utilized to improve inspection efficiency, replacing previously visual inspections performed by skilled personnel.
Sony Semiconductor Solutions Corporation offers a comprehensive lineup of image sensors to meet a variety of needs, from excellence in capturing subjects moving at high speed to inspecting container contents at individual package level.
Applications
Container content inspections
In medicine manufacturing production lines, high-speed, high-resolution global shutter image sensors are used to inspect external shape and printing scratches, chipping, and dirt on many tablet types. Polarization image sensors are useful for checking tablet filling based on the difference in the degree of polarization (DoP) between tablets and an aluminum sheet.
Short Wavelength Infra-Red (SWIR) image sensors are useful for container content inspections in food and cosmetic production lines. SWIR light penetrates packages, allowing filling inspections to be carried out without destroying tablets, even for packages that appear opaque at first glance. Moreover, in situations with well-regulated product packaging facilities, Time of Flight (ToF) image sensors can be used for filling work and inspections.
Container inspections
In manufacturing production lines for products such as cosmetics and shampoos, high-speed, high-resolution global shutter image sensors are used to inspect container labels and lids. Global shutter image sensors are able to clearly capture distortion-free images of objects moving at high speed.
Contaminant detection inspections
Download
The SWIR Camera Photography Process and How Multispectral Images are Created
(The Food Inspection Edition)
This document explains some key points and photography tips along with an example use case for SWIR camera evaluation.
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