Incident data determination based on sensor data

1 . A method, comprising:

receiving first sensor data associated with a first sensor at a first location in an environment, the first sensor coupled to a first streetlight;

determining, based at least in part on the first sensor data, an occurrence of an incident in the environment that impacts safety;

determining a type of the incident and a location of the incident;

configuring a message for a second sensor at a second location in the environment, the second sensor coupled to a second streetlight;

transmitting the message to the second sensor;

receiving, based at least in part on the transmitting, second sensor data associated with the second sensor;

determining, based at least in part on the first sensor data and the second sensor data, incident data indicating an estimated location of the incident and information about the incident;

receiving information associated with a power grid, the information associated with the power grid representing one or more of: a power surge, a voltage fluctuation, transformer data, or meter data;

confirming the incident data based at least in part on the information associated with the power grid;

sending at least a portion of the incident data to a device configured to remedy an impact of the incident; and

causing a notification to a pedestrian or vehicle to avoid the estimated location.

2 . The method of claim 1 , further comprising:

identifying a third streetlight having a third sensor that is different from the first sensor associated with the first streetlight and the second sensor associated with the second streetlight; and

receiving third sensor data from the third sensor at a third location in the environment;

wherein determining the incident data is further based at least in part on the third sensor data.

3 . The method of claim 1 , further comprising:

generating, based at least in part on the incident data, an instruction indicating a visual indicator for output by a light source associated with the first streetlight or the second streetlight; and

sending the instruction to the first streetlight or the second streetlight to cause output of the visual indicator using the light source.

4 . The method of claim 1 , wherein:

the device comprises a traffic control device, and

causing the notification comprises causing, by the traffic control device, the notification to the pedestrian or the vehicle to avoid the estimated location.

5 . The method of claim 1 , wherein:

the device is associated with an emergency service provider.

6 . The method of claim 1 , wherein:

the first sensor comprises at least one of: a microphone, a camera, a location sensor, a lidar sensor, a radar sensor, or a temperature sensor, and

the message indicates the type of the incident and the location of the incident.

7 . One or more non-transitory computer-readable media storing instructions executable by one or more processors, wherein the instructions, when executed, cause the one or more processors to perform operations comprising:

receiving first sensor data associated with a first sensor at a first location in an environment, the first sensor coupled to a first streetlight;

determining, based at least in part on the first sensor data, a type and a location of an incident in the environment;

identifying, based at least in part on the type of the incident, a second streetlight from a set of available streetlights;

sending the type of the incident and the location of the incident to a second sensor coupled to the second streetlight at a second location in the environment;

receiving, based at least in part on the sending, second sensor data associated with the second sensor;

determining, based at least in part on the first sensor data the second sensor data, incident data indicating an estimated location of the incident and information about the incident;

receiving information associated with a power grid, the information associated with the power grid representing one or more of: a power surge, a voltage fluctuation, transformer data, or meter data;

confirming, as confirmed incident data, the incident data based at least in part on the information associated with the power grid;

sending at least a portion of the confirmed incident data to a device configured to remedy an impact of the incident; and

causing a notification to a pedestrian or vehicle to avoid the estimated location.

8 . The one or more non-transitory computer-readable media of claim 7 , wherein the first streetlight or the second streetlight comprises at least one of: a microphone, a camera, a location sensor, a lidar sensor, a radar sensor, or a temperature sensor.

9 . The one or more non-transitory computer-readable media of claim 7 , the operations further comprising:

identifying a third streetlight having a third sensor that is different from the first sensor associated with the first streetlight and the second sensor associated with the second streetlight; and

receiving third sensor data from the third sensor at a third location in the environment;

wherein determining the incident data is further based at least in part on the third sensor data.

10 . The one or more non-transitory computer-readable media of claim 7 , the operations further comprising:

generating, based at least in part on the incident data, an instruction indicating a visual indicator for output by a light source associated with the first streetlight or the second streetlight; and

sending the instruction to the first streetlight or the second streetlight to cause output of the visual indicator using the light source.

11 . The one or more non-transitory computer-readable media of claim 7 ,

the device comprising a traffic control device; and

causing the notification comprising causing, by the traffic control device, the notification to the pedestrian or the vehicle to avoid the estimated location.

12 . The one or more non-transitory computer-readable media of claim 7 , wherein:

the device is associated with an emergency service provider.

13 . The one or more non-transitory computer-readable media of claim 7 , the operations further comprising:

monitoring the incident for a period of time to identify a region impacted by the incident; and

at least one of:

configuring a first message for sending to the second sensor of the second streetlight requesting a greater level of detail; or

configuring a second message for sending to the second sensor of the second streetlight indicating the incident is no longer occurring.

14 . The one or more non-transitory computer-readable media of claim 7 , the operations further comprising:

inputting the first sensor data and the second sensor data to a machine learned model trained to determine the type of the incident; and

receiving an output from the machine learned model representing the incident data.

15 . The one or more non-transitory computer-readable media of claim 13 , wherein identifying the second streetlight from the set of available streetlights comprises:

determining a threshold distance from the location of the incident based at least in part on the type of the incident;

identifying the set of available streetlights based at least in part on the threshold distance; and

selecting the second streetlight from the set of available streetlights based at least in part on a distance between the location of the incident and the second location of the second streetlight.

16 . A meter device, comprising:

an electrical sensor;

one or more processors; and

one or more non-transitory computer-readable media storing instructions executable by the one or more processors, wherein the instructions, when executed, cause the meter device to perform operations comprising:

receiving first sensor data associated with a first sensor at a first location in an environment, the first sensor coupled to a first streetlight;

determining, based at least in part on the first sensor data, a type and a location of an incident in the environment;

identifying, based at least in part on the type of the incident, a second streetlight from a set of available streetlights;

sending the type of the incident and the location of the incident to a second sensor coupled to the second streetlight at a second location in the environment;

receiving, based at least in part on the sending, second sensor data associated with the second sensor;

determining, based at least in part on the first sensor data and the second sensor data, incident data indicating an estimated location of the incident and information about the incident;

receiving information associated with a power grid, the information associated with the power grid representing one or more of: a power surge, a voltage fluctuation, transformer data, or meter data;

confirming the incident data based at least in part on the information associated with the power grid; and

disconnecting, by a service switch and based at least in part on confirming the incident data, power, gas, or water to a third location proximate the first location or the second location.

17 . The meter device as recited in claim 16 , the operations further comprising:

identifying a third streetlight having a third sensor that is different from the first sensor associated with the first streetlight; and

receiving third sensor data from the third sensor;

wherein determining the incident data is further based at least in part on the third sensor data.

18 . The meter device as recited in claim 16 , the operations further comprising:

sending a notification indicating that the gas or the water is disconnected at the third location to an emergency service provider.

19 . The method of claim 1 , further comprising:

inputting the first sensor data, the second sensor data, and the meter data into a machine learned model trained to identify patterns associated with different types of incidents; and

determining the type of the incident based at least in part on output data from the machine learned model.

20 . The method of claim 1 , wherein confirming the incident data comprises validating presence of the incident.