Gesture-Based Industrial Monitoring
A system includes an imager, such as a 3-D structured light imaging system, and gesture logic in data communication with the imager. The imager is configured to create an image of the motion of a mobile subject. The gesture logic is configured to: generate a first mapping of the current motion of the mobile subject based on the image, access a stored second mapping of a model gesture, and compare the first mapping to the second mapping to determine a operational condition of the mobile subject.
1 . A system, comprising:
an imager comprising configured to capture a video of a current motion of a manufacturing device; and
logic, in data communication with the imager, the logic configured to:
based on the video, generate a first mapping, in a multi-dimensional space, of the current motion of the manufacturing device;
access a stored second mapping of a model gesture; and
compare the first mapping to the second mapping to determine whether the current motion of the manufacturing device deviates from the model gesture; and
when the current motion of the manufacturing device deviates from the model gesture:
generate a message indicating the deviation; and
send the message to a monitoring process associated with the manufacturing device.
2 . The system of claim 1 , where:
message is configured to indicate non-compliant operation of the manufacturing device; and
monitoring process is configured to generate an alert on a view screen in response to the message.
3 . A system, comprising:
an imager configured to create an image of a current motion of a mobile subject;
logic, in data communication with the imager, the logic configured to:
based on the image, generate a first mapping of the current motion of the mobile subject;
access a stored second mapping of a model gesture; and
compare the first mapping to the second mapping to determine an operational condition of the mobile subject.
4 . The system of claim 3 , where the imager is configured to create a series of images comprising the image.
5 . The system of claim 4 , where the first mapping comprises a first video mapping based on the series of images.
6 . The system of claim 5 , where the model gesture comprises a group of determined motions; and
the second mapping comprises a second video mapping of the group of determined motions.
7 . The system of claim 6 , where the group of determined motions is associated with a complaint operational status of the mobile subject.
8 . The system of claim 6 , where the logic is further configured to generate an alert when the comparison indicates that the current motion differs from the group of determined motions.
9 . The system of claim 3 , where the logic is configured to process the image based on a property of a source.
10 . The system of claim 9 , where the source comprising a light source; and
the property comprises a code embedded in an output of the light source.
11 . The system of claim 3 , where the imager comprises:
an optical sensor configured to capture the image; and
a focusing apparatus configured to produce the image on the optical sensor.
12 . The system of claim 3 , where the first and second mappings comprise mappings in multi-dimensional space.
13 . The system of claim 3 , where the logic is configured to generate an alert based on the determined operational condition.
14 . The system of claim 13 , where:
the mobile subject comprises an equipment operator; and
the alert is configured to rouse the equipment operator in response to a potential attention lapse.
15 . The system of claim 13 , where the alert is configured indicate that the mobile subject has breached a safety zone.
16 . A method, comprising:
capturing a video of a current motion of a mobile subject;
based on the video, generating a first mapping of the current motion of the mobile subject;
accessing a stored second mapping of a model gesture; and
comparing the first and second mappings to determine an operational status of the mobile subject.
17 . The method of claim 16 , further comprising:
selecting the stored second mapping based on a type of the mobile subject and a task scheduled for performance by the mobile subject.
18 . The method of claim 17 , where determining the operational status comprises determining whether the mobile subject performed the task in a non-compliant manner.
19 . The method of claim 18 , where a deviation from the model gesture by the mobile subject indicates non-compliant performance.
20 . The method of claim 16 , where the generating of the first mapping is based on a property of a light source that illuminates the mobile subject.