Patent ID: 11922358
Assignee: VELOCITYEHS HOLDINGS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An automated injury risk detection and display mitigation system deployed within a cloud-based communication network, the system comprising:
a computing device, comprising:
a non-transitory computer-readable storage medium configured to store an application program; and
a processor coupled to the non-transitory computer-readable storage medium and configured to control a plurality of modules to execute instructions of the application program to obtain video signals; and
a computing server system configured to:
receive the video signals from a sensor;
disassemble the video signals into image frames;
extract feature maps from the image frames by processing the image frames through a baseline convolutional neural network (baseline CNN);
generate, by each stage of a multi-stage convolutional neural network (multi-stage CNN), a set of representations of pairwise relationships between body regions, by processing each feature map of the feature maps by the multi-stage CNN, wherein each subsequent stage of the multi-stage CNN uses a previous set of representations from a previous stage of the multi-stage CNN;
generate at least one estimate of a relationship between the body regions, by a final stage of the multi-stage CNN, wherein the final stage uses outputs of at least one previous stage of the multi-stage CNN to generate the at least one estimate, wherein the at least one estimate comprises an estimate of at least one of joint angles in the body regions, joint locations in the body regions, or skeletal points in the body regions;
generate, for at least one body region of the body regions, a risk score for at least one category of a plurality of risk categories, based at least upon the estimate of the joint angles;
generate, a risk rating for the at least one body region based on the risk score for the at least one category of the plurality of risk categories;
determine, based on the risk rating, ergonomic risk root-causes for the at least one body region; and
provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.