/Image-based Automated Ergonomic Risk Root Cause And Solution Identification System And Method
Abstract

Disclosed herein is a system for identifying root causes of industrial ergonomic risks and their corresponding solutions. An example system comprises a computing device that trains a deep learning based model to process an embedding vector for outputting a root cause of an ergonomic risk identified in an image and a solution to the ergonomic risk. A dataset for training the model is established by collecting samples of image-caption data that includes a plurality of images and information relating to ergonomic problems identified in the plurality of images and corresponding solutions to the ergonomic problems. The dataset is also established by categorizing the samples of image-caption data into ergonomic problem-solution pairs, identifying training images associated with the ergonomic problem-solution pairs, sampling the ergonomic problem-solution pairs in connection with the training images, and using sampling results of the ergonomic problem-solution pairs in connection with the training images to establish the model.

Full Text

What is claimed is:

Disclosed herein is a system for identifying root causes of industrial ergonomic risks and their corresponding solutions. An example system comprises a computing device that trains a deep learning based model to process an embedding vector for outputting a root cause of an ergonomic risk identified in an image and a solution to the ergonomic risk. A dataset for training the model is established by collecting samples of image-caption data that includes a plurality of images and information relating to ergonomic problems identified in the plurality of images and corresponding solutions to the ergonomic problems. The dataset is also established by categorizing the samples of image-caption data into ergonomic problem-solution pairs, identifying training images associated with the ergonomic problem-solution pairs, sampling the ergonomic problem-solution pairs in connection with the training images, and using sampling results of the ergonomic problem-solution pairs in connection with the training images to establish the model.
Timeline
Filed
04/13/2026
Published
08/13/2026
Granted
Not Available
IPC Codes(2)
G06V 40/20:Movements or behaviour, e.g. gesture recognition (recognition of facial expressions G06V 40/16)
G06V 10/82:using neural networks