Visitor identification for lighting control
The described embodiments relate to systems, methods, and apparatuses for controlling a network of lights ( 120 ) according to whether people ( 122 ) who are observing the lights are visitors from a different location ( 108 ). Visitors can be identified by using network connection data ( 116, 208 ) that includes entries corresponding to personal devices of visitors to a city. The network connection data can be filtered to identify how many personal devices are associated with people visiting from a different city. If the number of visitors exceeds some threshold relative to non-visitors, a lighting arrangement in the city can be controlled to display features that would appeal to the visitors. The features can correspond to aspects of the city where the visitors are from and can therefore make the city more attractive.
1. A method for modifying an operation of a network of lights located in a first location, the method comprising:
by a computing device:
receiving historical connection data associated with a personal device of a person located within an area that includes the network of lights;
determining whether the person is a local to the first location or a visitor to the first location from a second location based on the historical connection data;
identifying, using the historical connection data, the second location;
identifying one or more features of the second location;
causing the network of lights to perform a lighting operation that is based on whether the person is a local or a visitor to the first location and if the person is a visitor, using a feature of the second location to perform the lighting operation;
receiving media data related to the second location, wherein the feature of the second location is identified using the media data; and
wherein the lighting operation causes the network of lights to exhibit a dynamic lighting pattern, that includes an image of the feature of the second location and the image is a landmark that is located in the second location and identified in the media data, and is based on a threshold number of persons from the second location and the one or more features of the second location.
2. The method of claim 1 , wherein the historical connection data corresponds to a call data record and the first and second locations are associated with respective cell towers that the personal device was connected to.
3. The method of claim 1 , further comprising:
receiving sensor data from a sensor that is responsive to a change in a number of persons visiting the first location; and
determining, using the sensor data, that the number of persons visiting the first location changed after the network of lights performed the lighting operation.
4. A computing device, comprising:
one or more processors; and
a memory configured to store instructions that when executed by the one or more processors, cause the one or more processors to perform steps that include:
receiving call record data corresponding to personal devices associated with people located in a first location that is within a visible range of a network of lights;
filtering the call record data based on a number of times that a second location is identified in the call record data;
determining that a portion of the people are visitors from the second location;
identifying one or more features of the second location; and
causing the network of lights to exhibit a lighting pattern that is based on a threshold number of persons from the second location and the one or more features of the second location;
receiving media data related to the second location, wherein the feature of the second location is identified using the media data; and
wherein the lighting operation causes the network of lights to exhibit a dynamic lighting pattern that includes an image of the feature of the second location and the image is a landmark that is located in the second location and identified in the media data.
5. The computing device of claim 4 , wherein filtering the call record data includes:
determining that the second location is identified in the call record data within a threshold period of time.
6. The computing device of claim 4 , wherein the steps further include:
receiving social media data associated with a personal device of the personal devices, wherein the lighting pattern is further based on the social media data.
7. The computing device of claim 4 , wherein the steps further include:
determining the visible range of the network of lights; and
accessing a call record database that includes call record data corresponding to other personal devices of other people located outside of the first location.
8. The computing device of claim 4 , further comprising:
determining that the portion of the people who are visitors from the second location has decreased after the network of lights exhibited the lighting pattern; and
modifying instructions corresponding to the lighting pattern.
9. A system, comprising:
a computing device configured to use network data to identify a number of personal devices that have been located in a first location and filter the network data to identify personal devices that have previously been located in a second location;
a lighting controller communicatively coupled to the computing device, the lighting controller configured to identify one or more features of the second location area using media data related to the second location, wherein the feature of the second location is identified using the media data; generate instructions for providing a lighting arrangement that is based on the one or more features of about the second location if a threshold number of personal devices that have previously been located in the second location are identified and the one or more features of the second location; and
a network of lights communicatively coupled to the lighting controller, the network of lights configured to receive the instructions and output the lighting arrangement; and
wherein the instructions causes the network of lights to exhibit a dynamic lighting pattern that includes an image of the feature of the second location and the image is a landmark that is located in the second location and identified in the media data.
10. The system of claim 9 , wherein the network data includes time-stamped location data and the computing device is further configured to filter the network data to identify the personal devices that have participated in a network connection in the first location within a threshold period of time.
11. The system of claim 9 , wherein the lighting arrangement is based on a demographic of persons associated with the personal devices.
12. The system of claim 9 , wherein the computing device is further configured to receive feedback regarding whether the personal devices are associated with returning visitors to the first location.