Abstract: An image in a monitor region (14) image-captured by a monitor camera (16), input a multi-layer-type neural network of a determination device (10) to determine whether it is a fire or a non-fire state, and in the case when it is determined as a fire state, flame warning is given from a receiver (12). In a recording device of the determination device, motion images in a monitor region (14) captured by a monitor camera are recorded. When a fire decision operation is carried out in the receiver, a learning control part of the determination device reads out the recorded image at that time from the recording device, and inputs the multi-layer-type neural network as a fire image so as to subject it to learning by back propagation. In a case when a recovery operation is carried out, without any fire decision operation being carried out in the receiver, non-fire images are inputted to the multi-layer-type neural network so as to be subjected to learning.

Abstract: A monitor image in a monitor region captured by a monitor camera is divided into a plurality of block images, which are inputted to a fire detector constituted by a multi-layer-type neural network so as to detect a fire. A learning image generation device divides a learning image in which a fire in the monitor region is captured into a plurality of block images and classifies the images to fire learning block images, normal learning block images, or non-learning block images based upon the presence/absence of flames and smoke and the ratio at which the flames and smoke occupy in each block image so as to be stored, and a learning control part inputs the fire learning block images and the normal learning block images stored in the learning image generation device to the fire detector so as to subject a multi-layer-type neural network to learning by deep learning process.

Abstract: A monitor image in a monitor region captured by a monitor camera is divided into a plurality of block images, which are inputted to a fire detector constituted by a multi-layer-type neural network so as to detect a fire. A learning image generation device divides a learning image in which a fire in the monitor region is captured into a plurality of block images and classifies the images to fire learning block images, normal learning block images, or non-learning block images based upon the presence/absence of flames and smoke and the ratio at which the flames and smoke occupy in each block image so as to be stored, and a learning control part inputs the fire learning block images and the normal learning block images stored in the learning image generation device to the fire detector so as to subject a multi-layer-type neural network to learning by deep learning process.

Abstract: An image in a monitor region (14) image-captured by a monitor camera (16), input a multi-layer-type neural network of a determination device (10) to determine whether it is a fire or a non-fire state, and in the case when it is determined as a fire state, flame warning is given from a receiver (12). In a recording device of the determination device, motion images in a monitor region (14) captured by a monitor camera are recorded. When a fire decision operation is carried out in the receiver, a learning control part of the determination device reads out the recorded image at that time from the recording device, and inputs the multi-layer-type neural network as a fire image so as to subject it to learning by back propagation. In a case when a recovery operation is carried out, without any fire decision operation being carried out in the receiver, non-fire images are inputted to the multi-layer-type neural network so as to be subjected to learning.

Abstract: A system including a first information acquisition unit configured to acquire first information indicating a detection value of a first physical quantity in a monitored area, a second information acquisition unit configured to acquire second information indicating a detection value of a second physical quantity different from the first physical quantity, in the monitored area, and a determination unit configured to determine whether an abnormality has occurred in the monitored area, based on the detection value of the first physical quantity indicated by the first information, the detection value of the second physical quantity indicated by the second information, a first coefficient corresponding to the detection value of the first physical quantity and the detection value of the second physical quantity, and a first threshold.

Abstract: A system including a first information acquisition unit configured to acquire first information indicating a detection value of a first physical quantity in a monitored area, a second information acquisition unit configured to acquire second information indicating a detection value of a second physical quantity different from the first physical quantity, in the monitored area, and a determination unit configured to determine whether an abnormality has occurred in the monitored area, based on the detection value of the first physical quantity indicated by the first information, the detection value of the second physical quantity indicated by the second information, a first coefficient corresponding to the detection value of the first physical quantity and the detection value of the second physical quantity, and a first threshold.

Abstract: A detector includes a smoke detecting section that includes a light-receiving unit at a position at which the light-receiving unit does not directly receive light emitted by a light-emitting unit in a chamber in which a labyrinth for preventing light from directly entering from the outside and an insect net covering the rim of the labyrinth are provided, the light-receiving unit receiving light scattered by smoke flowing into the chamber. An opening hole is formed open in the surface of the cover receiving hot air current, of the detector. In the cover behind the opening hole, an electrochemical gas sensor is placed to bring gas generated by a fire through the opening hole into contact with an electrolyte solution to detect the gas by an electrode.

Abstract: A detector includes a smoke detecting section that includes a light-receiving unit at a position at which the light-receiving unit does not directly receive light emitted by a light-emitting unit in a chamber in which a labyrinth for preventing light from directly entering from the outside and an insect net covering the rim of the labyrinth are provided, the light-receiving unit receiving light scattered by smoke flowing into the chamber. An opening hole is formed open in the surface of the cover receiving hot air current, of the detector. In the cover behind the opening hole, an electrochemical gas sensor is placed to bring gas generated by a fire through the opening hole into contact with an electrolyte solution to detect the gas by an electrode.