Ro et al., 2024 - Google Patents
Early Fire Detection System for Embedded Platforms: Deep Learning Approach to Minimize False AlarmsRo et al., 2024
View PDF- Document ID
- 794347568612894556
- Author
- Ro S
- Lee K
- Publication year
- Publication venue
- Journal of Sensor Science and Technology
External Links
Snippet
In Korea, fires are the second most common type of disaster, causing large-scale damages. The installation of fire detectors is legislated to prevent fires and minimize damage. Conventional fire detectors have limitations in initial suppression of failures because they …
- 238000001514 detection method 0 title abstract 6
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal operating condition and not elsewhere provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal operating condition and not elsewhere provided for
- G08B21/18—Status alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/009—Signalling of the alarm condition to a substation whose identity is signalled to a central station, e.g. relaying alarm signals in order to extend communication range
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
- G08B29/188—Data fusion; cooperative systems, e.g. voting among different detectors
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3012813B1 (en) | Event detection system | |
Tien et al. | A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions | |
Raykov et al. | Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction | |
Jiang et al. | Indoor occupancy estimation from carbon dioxide concentration | |
US10607147B2 (en) | Estimating a number of occupants in a region | |
Kim et al. | Real-time probabilistic classification of fire and smoke using thermal imagery for intelligent firefighting robot | |
Roselyn et al. | Development and implementation of novel sensor fusion algorithm for occupancy detection and automation in energy efficient buildings | |
US11860038B2 (en) | Method, apparatus and system for passive infrared sensor framework | |
CN104933841A (en) | Fire prediction method based on self-organizing neural network | |
CN108830305A (en) | A kind of real-time fire monitoring method of combination DCLRN network and optical flow method | |
JP2015523753A (en) | Track determination of anomalous objects using variational Bayesian expectation maximization based on Gaussian process | |
Baek et al. | Intelligent multi-sensor detection system for monitoring indoor building fires | |
Nakıp et al. | Multi-sensor fire detector based on trend predictive neural network | |
Umoh et al. | Support vector machine-based fire outbreak detection system | |
US7302369B2 (en) | Traffic and geometry modeling with sensor networks | |
Liu et al. | A new multi-sensor fire detection method based on LSTM networks with environmental information fusion | |
Andersson et al. | Fusion of acoustic and optical sensor data for automatic fight detection in urban environments | |
Tang et al. | Intelligent video surveillance system for elderly people living alone based on ODVS | |
CN202838579U (en) | Fire disaster fire source position and intensity estimating system | |
Ro et al. | Early Fire Detection System for Embedded Platforms: Deep Learning Approach to Minimize False Alarms | |
Cao et al. | Field detection of indoor fire threat situation based on LSTM-Kriging network | |
US10579747B2 (en) | Injection of simulated sources in a system of networked sensors | |
Niu et al. | Integrating environmental sensing and BLE-based location for improving daily activity recognition in OPH | |
Xue et al. | A Fire Detection and Assessment Method based on YOLOv8 | |
Ahmed et al. | Recognition of professional activities with displaceable sensors |