Portable inspection devices that determine food safety and quality
are under development. For instance, researchers have succeeded with
developing high-speed optical technology that inspects wheat and other
grains, detecting protein content as well as mold. Others are using
laser beams to judge taste, firmness and other quality aspects of fresh
produce.
Investigators are focusing their attention on apples, developing a
system that could be used for other fresh produce as well. It can detect
contaminants on the apple surface, such as fecal matter. Because these
systems use optically filtered light and optoelectronics to
"see," they are called machine vision or optical sensing
systems. At the heart of these systems is a digital multispectral camera
that can take photos at different wavelengths simultaneously and can
even detect light invisible to the naked eye. The systems include the
latest, fastest cameras of this type.
All the systems rely on two or three wavelengths of light chosen to
best see special features. Machine vision nicely supports human
inspection because its instruments can image every single fruit,
vegetable, grain kernel, or meat or poultry product that speeds along a
processing line. It also gives inspectors an extra pair of eyes for
scanning machinery and processing areas for contamination that is
invisible to the naked eye.
Contact: Yud-Ren Chen, USDA-ARS Instrumentation and Sensing
Laboratory, Building 303, 10300 Baltimore Ave., Beltsville, MD
20705-2350. Phone: 301-504-8450. Fax: 301-504-9466. Email:
cheny@ba.ars.usda.gov.
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