US Patent Issued to Apeel Technology on April 21 for "Machine learning-based assessment of food item quality" (California Inventors)

ALEXANDRIA, Va., April 21 -- United States Patent no. 12,608,787, issued on April 21, was assigned to Apeel Technology Inc. (Goleta, Calif.).

"Machine learning-based assessment of food item quality" was invented by Ohad Michel (Goleta, Calif.), Richard Pattison (Goleta, Calif.), Tim Rappold (Goleta, Calif.), Sahana Venkatesh (Goleta, Calif.), Pooyan Abouzar (Goleta, Calif.), Saurabh Chatterjee (Goleta, Calif.) and Jeffrey Fun-Shen Gau (Goleta, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Described herein are systems and methods for determining quality levels for food items using image data, such as time lapse RGB, hyperspectral, thermal, and/or multispectral images. The method can include receiving,...