DEVICES AND METHODS TO FACILITATE ESCAPE FROM A VENUE WITH A SUDDEN HAZARD
First Claim
1. A device to facilitate movement in a venue comprising:
- (a) a processor with a memory containing a program for machine learning and a model of a venue wherein the model has been pre-trained with information concerning at least one of layout of venues, methods of escape from venues, and behavior of persons attempting to escape from a venue in a hazardous condition;
(b) a sensor to acquire, when person is present in the venue information, to be used in training the model concerning at least one of a location of the person in the venue and behavior of persons attempting to escape from the venue;
(c) a processor with a memory containing a program to use the model to produce an instruction to escape from the venue when a hazard has been detected in the venue; and
(d) an output device to guide the person in escape from the venue.
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Abstract
A device and associated methods for escaping from a venue when a threat is detected is described. Venues can be buildings or outside areas and contain the area where the threat constitutes a hazard to a protected person. Threats include fire, terrorists, gunmen, explosion, collapse, loss of critical resources and crowd panic. The device incorporates a machine learning system implemented with a neural network or other pattern matching system and is trained in steps. Pre-training is based on general requirements such as edge-detection and audio analysis. Principles and data for venue layouts and human behavior can be included. The produced model is further trained from data gathered from sensors and servers after entry into the venue. Operation of the model produces warnings of threats and a plan of escape with steps of the plan communicated to the protected person by audio, visual or tactile sensory channels.
25 Citations
20 Claims
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1. A device to facilitate movement in a venue comprising:
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(a) a processor with a memory containing a program for machine learning and a model of a venue wherein the model has been pre-trained with information concerning at least one of layout of venues, methods of escape from venues, and behavior of persons attempting to escape from a venue in a hazardous condition; (b) a sensor to acquire, when person is present in the venue information, to be used in training the model concerning at least one of a location of the person in the venue and behavior of persons attempting to escape from the venue; (c) a processor with a memory containing a program to use the model to produce an instruction to escape from the venue when a hazard has been detected in the venue; and (d) an output device to guide the person in escape from the venue. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A device for facilitating escape from a venue comprising:
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(a) a sensor adapted to be carried by a person entering the venue and to acquire information about potential escape routes from the venue; (b) a memory containing at least one of prerecorded information concerning physical layout of the venue, and information acquired from a communication system concerning physical layout of the venue; (c) a processor with a program to calculate an escape route based on the memory and the information gathered by the sensor; and (d) an output device to guide a person escaping from the venue when a threat is detected by the device comprising at least one of a visual display and of an audible transducer. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method of escaping a threat in a venue comprising:
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(a) gathering information about conditions in the venue with a sensor after a person enters the venue with the sensor; (b) training a machine learning system implemented on a computer with the information, (c) operating the machine learning system to produce a plan of escape from the venue when a threat to safety of a person is detected by the machine learning system; (d) transmitting a step of the plan of escape with an output device; and (e) performing the step of the plan of escape in accordance with the transmission. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification