System and method to predict, prevent, and mitigate workplace injuries

A system, comprising:

• a camera configured to simultaneously capture two-dimensional (2D) image data of a first worker and a second worker;
• and
• a computing device configured to be in communication with the camera to receive the 2D image data from the camera, the computing device being adapted to:
• execute a machine learning model that includes a neural network and that is applied to the 2D image data to generate, using a motion manifold and in a special orthogonal group format, a first set of joint positions of the first worker, a first set of body angles of the first worker, a second set of joint positions of the second worker, and a second set of body angles of the second worker,
• parse the first set of joint positions, the first set of body angles, the second set of joint positions, and the second set of body angles into metrics relevant to workplace ergonomics, and
• populate a worker risk assessment tool with the metrics relevant to workplace ergonomics to generate waveform graphs of the first set of joint positions, the second set of joint positions, the first set of body angels and the second set of body angles to predict a first worker future risk assessment of the first worker and a second worker future risk assessment of the second worker, each waveform graph including an angular flexion of a joint on one axis, an angular velocity of the joint on one axis and moments of time on a second axis.

A non-transitory, processor-readable medium comprising code that when executed cause a processor to:

• execute a machine learning model that includes a neural network and that is applied to two-dimensional (2D) image data of a first worker and a second worker, to generate a first set of joint positions of the first worker, a first set of body angles of the first worker, a second set of joint positions of the second worker, and a second set of body angles of the second worker;
• parse the first set of joint positions, the first set of body angles, the second set of joint positions, and the second set of body angles into metrics relevant to workplace ergonomics;
• and
• populate a worker risk assessment tool with the metrics relevant to workplace ergonomics to generate waveform graphs of the first set of joint positions, the second set of joint positions, the first set of body angels and the second set of body angles to predict a first worker future risk assessment of the first worker and a second worker future risk assessment of the second worker, each waveform graph including an angular flexion of a joint on one axis, an angular velocity of the joint on one axis and moments of time on a second axis.