Chronological activity monitoring and review
A computer-implemented method for monitoring activity at a location, provides receiving a first data signal and a second data signal, wherein the first and second data signals are related to activities detected at a location, and reproducing the first and second data signals in a chronology that indicates relative timing of receipt of the first and second data signals via a user interface. This may accelerate review and inspection of multiple data signals recorded over time, including data signals of various types. The coincidence of patterns in the data signals may be detected and brought to the user's attention for closer review, such as via transmission of a message or transmission of a segment of recorded data.
1. A method for monitoring activity, comprising:
receiving visual data from a camera at a location;
receiving non-visual data from one or more activity detectors at the location;
tracking a person at the location using the non-visual data; and
outputting a chronology depicting at least a portion of the visual data, a first timeline representing a presence of the person at the location, and a second timeline representing a portion of the non-visual data received from a first activity detector of the one or more activity detectors.
2. The method of claim 1 , further comprising:
identifying an event at the location based at least in part on the non-visual data or the visual data, wherein the chronology is configured to indicate the event and whether the person is present at the location during the event.
3. The method of claim 2 , further comprising:
outputting an indication of the event as part of the chronology.
4. The method of claim 2 , further comprising:
determining that an activity level indicated by the non-visual data satisfies a threshold, wherein identifying the event is based at least in part on determining the activity level satisfies the threshold.
5. The method of claim 4 , further comprising:
triggering real-time monitoring of the visual data or the non-visual data based at least in part on the activity level of the non-visual data satisfying the threshold, wherein outputting the chronology is based at least in part on triggering the real-time monitoring.
6. The method of claim 1 , wherein receiving the non-visual data further comprises:
receiving time clock information associated with the person indicating whether the person is clocked-in or is clocked-out.
7. The method of claim 1 , further comprising:
identifying the person based at least in part on the visual data or the non-visual data, wherein tracking the person is based at least in part on identifying the person.
8. The method of claim 1 , further comprising:
detecting a radio frequency identification (RFID) device at the location associated with the person, wherein tracking the person is based at least in part on detecting the RFID device.
9. The method of claim 8 , further comprising:
determining an area of the RFID device at the location, wherein tracking the person is based at least in part on determining the area of the RFID device at the location.
10. The method of claim 1 , further comprising:
determining how long the person waits in an area of the location; and
identifying an event at the location based at least in part on determining how long the person waits in the area, wherein the chronology depicts the event.
11. The method of claim 1 , wherein the non-visual data comprises pressure data, motion data, radio frequency signal data, time-keeper data, radio frequency identification (RFID) data, or a combination thereof generated by a single activity detector.
12. The method of claim 1 , further comprising:
receiving an indicator indicating a time of receipt of the visual data and the non-visual data, wherein outputting the chronology further comprises outputting a first portion of the visual data associated with the time of receipt indicated by the indicator.
13. The method of claim 1 , wherein the chronology indicates a relative timing of a receipt of the visual data and the non-visual data.
14. An apparatus for monitoring activity, comprising:
a processor;
memory in electronic communication with the processor; and
instructions stored in the memory and executable by the processor to cause the apparatus to:
receive visual data from a camera at a location;
receive non-visual data from one or more activity detectors at the location;
track a person at the location using the non-visual data; and
output a chronology depicting at least a portion of the visual data, a first timeline representing a presence of the person at the location, and a second timeline representing a portion of the non-visual data received from a first activity detector of the one or more activity detectors.
15. The apparatus of claim 14 , wherein the instructions are further configured to cause the apparatus to:
identify an event at the location based at least in part on the non-visual data or the visual data, wherein the chronology is configured to indicate the event and whether the person is present at the location during the event.
16. A non-transitory computer-readable medium storing code for monitoring activity, the code comprising instructions executable by a processor to:
receive visual data from a camera at a location;
receive non-visual data from one or more activity detectors at the location;
track a person at the location using the non-visual data; and
output a chronology depicting at least a portion of the visual data, a first timeline representing a presence of the person at the location, and a second timeline representing a portion of the non-visual data received from a first activity detector of the one or more activity detectors.
17. The non-transitory computer-readable medium of claim 16 , wherein the code further comprises instructions executable by the processor to:
identify an event at the location based at least in part on the non-visual data or the visual data, wherein the chronology is configured to indicate the event and whether the person is present at the location during the event.