Apparatuses, methods, and computer program products for safety compliance determinations
Apparatuses, methods, and computer program products for safety compliance determinations are provided. An example method includes receiving three-dimensional (3D) image data indicative of a field of view of a 3D imager that includes a first user upon which to perform a compliance determination. The method further includes generating a fit parameter associated with a safety device of the first user within the field of view of the 3D imager based upon the 3D image data, the fit parameter indicative of an associated positioning of the safety device relative to the first user. The method also includes comparing the fit parameter with a compliance threshold associated with the safety device and generating an alert signal in an instance in which the fit parameter fails to satisfy the compliance threshold. In some instances, the method may supply the 3D image data to an artificial neural network to generate the fit parameter.
1. A method for safety compliance determinations, the method comprising:
receiving three-dimensional (3D) image data, the 3D image data indicative of a field of view of a 3D imager that includes a first user upon which to perform a compliance determination;
determining a fit parameter associated with a safety device of the first user within the field of view of the 3D imager based upon the 3D image data, wherein the fit parameter is indicative of an associated positioning of the safety device relative to the first user;
comparing the fit parameter with a compliance threshold associated with the safety device;
generating an alert signal in an instance in which the fit parameter fails to satisfy the compliance threshold; and
modifying the compliance threshold associated with the safety device based upon one or more iterative determinations of the fit parameter associated with the safety device.
2. The method according to claim 1 , wherein generating the alert signal further comprises generating an adjustment notification comprising a modification of the positioning of the safety device relative to the first user.
3. The method according to claim 1 , wherein generating the alert signal further comprises preventing access for the first user to one or more systems.
4. The method according to claim 1 , wherein determining the fit parameter further comprises supplying the 3D image data to an artificial neural network.
5. The method according to claim 1 , wherein the 3D image data comprises an N-dimensional matrix containing one or more values indicative of coordinates of vertices forming polygons within the field of view of the 3D imager including the first user.
6. The method according to claim 5 , wherein determining the fit parameter further comprises:
reducing the N-dimensional matrix into a one-dimensional (1D) array; and
determining the fit parameter based upon a comparison between each value of the 1D array and one or more values associated with 3D image data indicative of the field of view of the 3D imager that includes a second user.
7. An apparatus for safety compliance determinations comprising:
a three-dimensional (3D) imager configured to generate 3D image data indicative of a field of view of the 3D imager that includes a first user upon which to perform a compliance determination; and
a computer device configured to:
generate a fit parameter associated with a safety device of the first user within the field of view of the 3D imager based upon the 3D image data, wherein the fit parameter is indicative of an associated positioning of the safety device relative to the first user;
compare the fit parameter with a compliance threshold associated with the safety device;
generate an alert signal in an instance in which the fit parameter fails to satisfy the compliance threshold; and
modify the compliance threshold associated with the safety device based upon one or more iterative determinations of the fit parameter associated with the safety device.
8. The apparatus according to claim 7 , wherein the alert signal further comprises an adjustment notification comprising a modification of the positioning of the safety device relative to the first user.
9. The apparatus according to claim 7 , wherein the alert signal further comprises instructions to prevent access for the first user to one or more systems.
10. The apparatus according to claim 7 , wherein the computing device is further configured to determine the fit parameter by supplying the 3D image data to an artificial neural network.
11. The apparatus according to claim 7 , wherein the 3D image data comprises an N-dimensional matrix containing one or more values indicative of coordinates of vertices forming polygons within the field of view of the 3D imager including the first user.
12. The apparatus according to claim 11 , wherein the computing device is further configured to:
reduce the N-dimensional matrix into a one-dimensional (1D) array; and
determine the fit parameter based upon a comparison between each value of the 1D array and one or more values associated with 3D image data indicative of the field of view of the 3D imager that includes a second user.
13. A non-transitory computer-readable storage medium for using an apparatus for safety compliance determinations, the non-transitory computer-readable storage medium storing instructions that, when executed, cause the apparatus to:
receive three-dimensional (3D) image data, the 3D image data indicative of a field of view of a 3D imager that includes a first user upon which to perform a compliance determination, generate a fit parameter associated with a safety device of the first user within the field of view of the 3D imager based upon the 3D image data, wherein the fit parameter is indicative of an associated positioning of the safety device relative to the first user,
compare the fit parameter with a compliance threshold associated with the safety device;
generate an alert signal in an instance in which the fit parameter fails to satisfy the compliance threshold; and
modify the compliance threshold associated with the safety device based upon one or more iterative determinations of the fit parameter associated with the safety device.
14. The non-transitory computer-readable storage medium according to claim 13 , wherein the non-transitory computer-readable storage medium stores instructions that, when executed, cause the apparatus to generate an adjustment notification comprising a modification of the positioning of the safety device relative to the first user.
15. The non-transitory computer-readable storage medium according to claim 13 , wherein the non-transitory computer-readable storage medium stores instructions that, when executed, cause the apparatus to prevent access for the first user to one or more systems.
16. The non-transitory computer-readable storage medium according to claim 13 , wherein the non-transitory computer-readable storage medium stores instructions that, when executed, cause the apparatus to supply the 3D image data to an artificial neural network.
17. The non-transitory computer-readable storage medium according to claim 13 , wherein the 3D image data comprises an N-dimensional matrix containing one or more values indicative of coordinates of vertices forming polygons within the field of view of the 3D imager including the first user.
18. The non-transitory computer-readable storage medium according to claim 17 , wherein the non-transitory computer-readable storage medium stores instructions that, when executed, cause the apparatus to:
reduce the N-dimensional matrix into a one-dimensional (1D) array; and
determine the fit parameter based upon a comparison between each value of the 1D array and one or more values associated with 3D image data indicative of the field of view of the 3D imager that includes a second user.