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Inspections for Food and Packaging: Reaching Expectations with Machine Vision, Spectroscopy and Hyperspectral Imaging

Jul 19, 2022
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Sponsored by
Hamamatsu Corporation
Consumers have growing expectations for the quality of the food they consume. Fortunately, many nondestructive solutions using light could provide information to ensure food quality with the help of imaging, spectroscopy, and hyperspectral imaging. These techniques may be used in grading meat, identifying objects, and assuring moisture content, and in x-ray imaging for inspection. Tu provides basic knowledge about each technique and answers some common questions, including where and when to use hyperspectral and SWIR hyperspectral imaging.

***This presentation premiered during the 2022 Vision Spectra Conference. For more information on Photonics Media conferences, visit

About the presenter:
Albert TuAlbert Tu is a marketing engineer for Hamamatsu Corp. in Bridgewater, N.J., specializing in industrial applications. After graduating from college, he held positions as an electrical engineer, a field applications engineer, and a product manager in high-tech industries. Tu returned to business school to get his master’s degree from the University of Texas at Austin. With over 10 years of hands-on experience in product development and new technology implementation, he now provides insights to help customers find the right solution for their technology.
spectroscopyartificial intelligencemachine visionVision Spectrahyperspectral imagingagricultureinspectionfood inspection
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