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案件記録

REAL-TIME ROBOT-MOUNTED SPILL DETECTION SYSTEM WITH MULTI-CAMERAS UTILIZING DEEP LEARNING

発明審査中
1閲覧数
20請求項 · 3 独立
§ Ⅰ

案件概要

発明者

Chan-Jin Chung; Devson Butani

IPC分類

G5D 1/648G5D 101/15G5D 105/10G5D 109/10G5D 111/10G6V 10/82G6V 20/56G8B 21/2

CPC分類

G5D1/6486G6V10/82G6V20/56G8B21/2G5D2101/15G5D2105/10G5D2109/10G5D2111/14

A system for detecting and addressing a spill is provided. The system includes an imaging device coupled to a mobile robot, a controller including a processor and memory including an interface module that receives a plurality of images, including infrared thermal and RGB images, from the imaging device, an artificial intelligence (AI) module for evaluating the plurality of images to determine a presence or absence of the spill and provides an output to the alert module when the spill has occurred. The memory includes an alert module that provides an alert of the spill, marks an area of the spill, or initiates a cleanup of the spill. The AI module evaluates the thermal and RGB images together to train and inference on the mobile robot in real-time using a voting module that executes an ensemble algorithm, or secondary layer based on the separate outputs to generate a single output.

原文(中国語)

A system for detecting and addressing a spill is provided. The system includes an imaging device coupled to a mobile robot, a controller including a processor and memory including an interface module that receives a plurality of images, including infrared thermal and RGB images, from the imaging device, an artificial intelligence (AI) module for evaluating the plurality of images to determine a presence or absence of the spill and provides an output to the alert module when the spill has occurred. The memory includes an alert module that provides an alert of the spill, marks an area of the spill, or initiates a cleanup of the spill. The AI module evaluates the thermal and RGB images together to train and inference on the mobile robot in real-time using a voting module that executes an ensemble algorithm, or secondary layer based on the separate outputs to generate a single output.

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