System and method for monitoring clinical activities
A monitoring system can be configured to monitor activities or actions occurring in clinical settings, such as hospitals. The monitoring system can improve patient safety. The system can use visual and/or other tracking methods. The system can detect and/or identify people in a clinical setting. The system can also track activities of the people, for example, to improve adherence to hygiene protocols.
1. A system for tracking, on a local network, movements of people in an enclosed room with an entrance/exit, the system comprising:
a camera configured to capture image data from a viewpoint in the room; and
a hardware processor in physical proximity to the camera, the hardware processor configured to:
detect each person in an image frame from the image data;
extract coordinates of each detected person relative to the image frame; and
update tracks monitored by the hardware processor based on the coordinates of each detected person without storing any image from the image data, wherein a new track is assigned to a person detected within a predetermined distance from the entrance/exit and not having been assigned a track in a previous image frame from the image data, wherein only non-image data is transmitted by the hardware processor.
2. The system of claim 1 , wherein, in response to a person detected within the predetermined distance from the entrance/exit and having been assigned a track in the previous image frame from the image data, the hardware processor is configured to delete the track.
3. The system of claim 1 , wherein, in response to a person detected away from the entrance/exit by the predetermined distance and having been assigned a track in the previous image frame from the image data, the hardware processor is configured to confirm the track.
4. The system of claim 1 , wherein the enclosed room is a clinical room, the hardware processor further configured to assign a contaminated status to any person who is assigned a new track.
5. The system of claim 4 , wherein the hardware processor is further configured to change the contaminated status of a person upon detecting the person performing a hand hygiene activity.
6. The system of claim 5 , further comprising a second camera configured to capture image data from a second viewpoint in the room and a second hardware processor in physical proximity to the second camera, the second viewpoint including a view of a hand hygiene area and the second processor configured to detect the hand hygiene activity.
7. The system of claim 6 , wherein the hardware processor is configured to output an alert to a display device in the clinical room in response to detecting a track of a contaminated person entering a patient zone.
8. The system of claim 1 , wherein the processor is configured to determine that a track in a previous image frame belongs to the same person detected in the image frame by performing an intersection over union calculation of coordinates of the track in the previous image frame and the coordinates of the person detected in the image frame.
9. The system of claim 1 , comprising a plurality of cameras and a plurality of hardware processors, each of the plurality of cameras being in physical proximity and associated with one of the plurality of hardware processors.
10. The system of claim 9 , wherein the plurality of hardware processors are configured to resolve occlusion based at least in part on a number of tracks detected in an image frame from image data of their respective associated cameras.
11. The system of claim 1 , wherein the coordinates of each detected person are coordinates of each boundary box surrounding an entirety of a respective detected person.
12. A system for tracking movements of a person in a clinical room, wherein more than one person is present at the clinical room, the system comprising:
a first camera configured to capture first image data from a first viewpoint in the clinical room;
a first hardware processor in physical proximity to the first camera, the first processor configured to detect each person in an image frame from the first image data and assign a unique boundary box to each person, the first processor further configured to track movement of the boundary boxes in subsequent image frames from the first image data without storing any image from the first image data;
a second camera configured to capture second image data from a second viewpoint in the clinical room; and
a second hardware processor in physical proximity to the second camera, the second processor configured to detect each person in an image frame from the second image data and assign a unique boundary box to each person, the second processor further configured to track movement of the boundary boxes in subsequent image frames from the second image data without storing any image from the first image data,
wherein at least one of the first or second cameras comprises a depth camera, the first and/or second processor configured to detect occlusion of a person in the clinical room by another person or object using depth information from the depth camera, wherein only non-image data is transmitted by the first or second hardware processor.
13. The system of claim 12 , wherein the first and second viewpoints are fixed.
14. The system of claim 12 , wherein the first camera faces an entrance of the clinical room.
15. The system of claim 12 , wherein the clinical room consists of a single entrance.
16. The system of claim 12 , comprising a third camera,
wherein the third camera is configured to capture third image data from a third viewpoint in the clinical room.
17. The system of claim 16 , wherein the third camera comprises a depth camera.
18. The system of claim 12 , wherein the first and second cameras each comprise a depth camera.
19. The system of claim 12 , wherein the depth information of the first camera translates to information in a direction of the second camera that is orthogonal to Z axis of the first camera.
20. The system of claim 12 , wherein the depth information of the first camera is orthogonal to depth information of the second camera.
21. The system of claim 12 , wherein the first and/or second processors are configured to detect occlusion of a person if the first processor is tracking a different number of boundary boxes than the second processor.