Amazon has patented a system for detecting defects in item handling at material handling facilities. The system includes sensors and a machine learning model to analyze item information in real-time, facilitating the detection and mitigation of processing quality defects. GlobalData’s report on Amazon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Amazon, Dynamic premium pricing was a key innovation area identified from patents. Amazon's grant share as of March 2024 was 82%. Grant share is based on the ratio of number of grants to total number of patents.
Automated system for detecting and sorting quality defects in items
A recently granted patent (Publication Number: US11969760B1) discloses an automated item handling system designed to streamline the process of detecting and sorting items with quality defects. The system comprises an automated item singulation system, an automated item sortation system, and a conveyance to transport items between the two systems. A quality defect detection system is integrated, featuring multiple imaging devices positioned at different angles to capture images of items in transit. These images are then processed by a trained machine learning model to identify quality defects and their types. A control system communicates with the quality defect detection system and the sortation system to sort defective items into designated containers based on the detected defects.
Furthermore, the patent details an automated item processing method that involves ingesting items, singulating them, and transporting them for sorting while capturing item information through various sensors. This information is analyzed by a machine learning model to identify quality defects and defect types, facilitating the sorting process. The method also includes steps for identifying unexpected items and updating item information in a datastore. The system's defect detection capabilities are enhanced by the ability to generate further training data for the machine learning model based on the item information obtained during operation. Overall, the patented technology aims to improve efficiency and accuracy in handling items with quality defects in automated systems.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
