Systems and methods for wayfinding in hazardous environments

1. A method for wayfinding in a hazardous environment, comprising:

receiving, at an emergency response computer program executed by an electronic device, a plurality of real-time streams of image data, each real-time stream of image data received from an image sensing device in an area;

detecting, by the emergency response computer program, an alarm condition out of a plurality of alarm conditions in the area based on the real-time streams of image data;

determining, by the emergency response computer program, that the alarm condition satisfies an alarm condition rule, wherein the alarm condition rule requires the alarm condition to exist for a predetermined period of time or to be present in more than one stream of image data;

calculating, by the emergency response computer program, a plurality of routes to an egress point from the area using a graph representing the area comprising a plurality of nodes and a plurality of edges connecting the nodes, wherein the nodes represent sub-areas within the area, and the edges represent paths between two of the nodes, and the edges are weighted based on a speed or flow between nodes from evacuation drill data; and

controlling, by the emergency response computer program, a digital signage in the area to display one of the plurality of routes to the egress point.

2. The method of claim 1 , wherein the real-time streams of image data comprise raw data from the sensing device, wherein the raw data comprises a sensing device identifier and a timestamp.

3. The method of claim 1 , wherein the real-time streams of image data comprise a trigger event comprising a sensing device identifier, a trigger condition, and a timestamp.

4. The method of claim 1 , wherein the alarm condition is associated with a fire or a violence incident.

5. The method of claim 1 , further comprising:

receiving, by the emergency response computer program, a location of an electronic device in the area;

determining, by the emergency response computer program, that the alarm condition satisfies an alarm condition rule;

calculating, by the emergency response computer program, a route from the location of the electronic device to the egress point from the area; and

sending, by the emergency response computer program, the route to the electronic device.

6. The method of claim 1 , further comprising:

monitoring, by the emergency response computer program, a traffic volume to the egress point;

determining, by the emergency response computer program, that the traffic volume exceeds a threshold;

calculating, by the emergency response computer program, a second route to a second egress point; and

controlling, by the emergency response computer program, a subset of the digital signage in the area to display the second route to the second egress point.

7. The method of claim 1 , further comprising:

identifying, by the emergency response computer program, an object in the real-time streams of image data; and

predicting, by the emergency response computer program, a class of the object in the real-time streams of image data.

8. The method of claim 7 , wherein the class of the object is predicted using a machine learning service.

9. A system, comprising:

a plurality of image sensing devices in an area; and

an electronic device comprising a memory storing an emergency response computer program and a computer processor;

wherein:

the emergency response computer program receives a real-time stream of image data received from each of the plurality of image sensing devices;

the emergency response computer program detects an alarm condition out of a plurality of alarm conditions in the area based on the real-time streams of image data;

the emergency response computer program determines that the alarm condition satisfies an alarm condition rule, wherein the alarm condition rule requires the alarm condition to exist for a predetermined period of time or to be present in more than one stream of image data;

the emergency response computer program calculates a plurality of routes to an egress point from the area using a graph representing the area comprising a plurality of nodes and a plurality of edges connecting the nodes, wherein the nodes represent sub-areas within the area, and the edges represent paths between two of the nodes, and the edges are weighted based on a speed or flow between nodes from evacuation drill data; and

the emergency response computer program controls a digital signage or lighting in the area to display or illuminate one of the plurality of routes to the egress point.

10. The system of claim 9 , wherein the electronic device is a cloud-based electronic device.

11. The system of claim 9 , wherein the real-time streams comprise raw data from the image sensing device, wherein the raw data comprises a sensing device identifier, a sensed data, and a timestamp.

12. The system of claim 9 , wherein the real-time streams comprise a trigger event comprising a sensing device identifier, a trigger condition, and a timestamp.

13. The system of claim 9 , wherein the alarm condition is associated with a fire or a violence incident.

14. The system of claim 9 , wherein the emergency response computer program further receives a location of an electronic device in the area, calculates a route from the location of the electronic device to the egress point from the area, and sends the route to the electronic device.

15. The system of claim 9 , wherein the emergency response computer program:

identifies an object in the real-time streams of image data; and

predicts a class of the object in the real-time streams of image data.

16. The system of claim 15 , wherein the class of the object is predicted using a machine learning service.