# Fire Detection and Safety Systems

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/fire-detection-and-safety-systems/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the development and application of computer vision, deep learning, and image processing techniques for real-time fire and smoke detection, particularly in the context of video surveillance, forest fire monitoring, and unmanned aerial vehicle (UAV) based systems. The research covers a wide range of methods including convolutional neural networks, statistical color models, multi-feature fusion, and IoT-based intelligent modeling for fire prevention and safety. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t12597 |
| Works | 64 |

## Topic papers all

Showing 15 of 64.

- [Automatic congestion detection system for underground platforms](https://scholariq.org/papers/automatic-congestion-detection-system-for-underground-platforms/)
- [Attention based CNN model for fire detection and localization in real-world images](https://scholariq.org/papers/attention-based-cnn-model-for-fire-detection-and-localization-in-real-world/)
- [Global population exposure to landscape fire air pollution from 2000 to 2019](https://scholariq.org/papers/global-population-exposure-to-landscape-fire-air-pollution-from-2000-to-2019/)
- [Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing](https://scholariq.org/papers/light-dehazenet-a-novel-lightweight-cnn-architecture-for-single-image-dehazing/)
- [Hyperspectral remote sensing of fire: State-of-the-art and future perspectives](https://scholariq.org/papers/hyperspectral-remote-sensing-of-fire-state-of-the-art-and-future-perspectives/)
- [Acoustic detection technology for gas pipeline leakage](https://scholariq.org/papers/acoustic-detection-technology-for-gas-pipeline-leakage/)
- [Applications and Challenges in Video Surveillance via Drone: A Brief Survey](https://scholariq.org/papers/applications-and-challenges-in-video-surveillance-via-drone-a-brief-survey/)
- [Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark](https://scholariq.org/papers/optimized-dual-fire-attention-network-and-medium-scale-fire-classification/)
- [Flame and smoke detection method for early real-time detection of a tunnel fire](https://scholariq.org/papers/flame-and-smoke-detection-method-for-early-real-time-detection-of-a-tunnel-fire/)
- [Graph Networks for Multiple Object Tracking](https://scholariq.org/papers/graph-networks-for-multiple-object-tracking/)
- [Forest fire image recognition based on convolutional neural network](https://scholariq.org/papers/forest-fire-image-recognition-based-on-convolutional-neural-network/)
- [Surface fires in Jharia coalfield, India-their distribution and estimation of area and temperature from TM data](https://scholariq.org/papers/surface-fires-in-jharia-coalfield-india-their-distribution-and-estimation-of/)
- [Wildfire Monitoring Based on Energy Efficient Clustering Approach for FANETS](https://scholariq.org/papers/wildfire-monitoring-based-on-energy-efficient-clustering-approach-for-fanets/)
- [MobileCount: An efficient encoder-decoder framework for real-time crowd counting](https://scholariq.org/papers/mobilecount-an-efficient-encoder-decoder-framework-for-real-time-crowd-counting/)
- [A Statistical and Spatial Analysis of Portuguese Forest Fires in Summer 2016 Considering Landsat 8 and Sentinel 2A Data](https://scholariq.org/papers/a-statistical-and-spatial-analysis-of-portuguese-forest-fires-in-summer-2016/)

## Topic primary papers

Showing 15 of 23.

- [Attention based CNN model for fire detection and localization in real-world images](https://scholariq.org/papers/attention-based-cnn-model-for-fire-detection-and-localization-in-real-world/)
- [Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark](https://scholariq.org/papers/optimized-dual-fire-attention-network-and-medium-scale-fire-classification/)
- [Flame and smoke detection method for early real-time detection of a tunnel fire](https://scholariq.org/papers/flame-and-smoke-detection-method-for-early-real-time-detection-of-a-tunnel-fire/)
- [Forest fire image recognition based on convolutional neural network](https://scholariq.org/papers/forest-fire-image-recognition-based-on-convolutional-neural-network/)
- [Surface fires in Jharia coalfield, India-their distribution and estimation of area and temperature from TM data](https://scholariq.org/papers/surface-fires-in-jharia-coalfield-india-their-distribution-and-estimation-of/)
- [Wildfire Monitoring Based on Energy Efficient Clustering Approach for FANETS](https://scholariq.org/papers/wildfire-monitoring-based-on-energy-efficient-clustering-approach-for-fanets/)
- [Early Warning Fire Detection System Using a Probabilistic Neural Network](https://scholariq.org/papers/early-warning-fire-detection-system-using-a-probabilistic-neural-network/)
- [Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment](https://scholariq.org/papers/efficient-deep-learning-framework-for-fire-detection-in-complex-surveillance/)
- [Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study](https://scholariq.org/papers/evaluation-of-a-sensor-system-for-detecting-humans-trapped-under-rubble-a-pilot/)
- [Drunk Driving Detection and Automatic Car Ignition Locking System](https://scholariq.org/papers/drunk-driving-detection-and-automatic-car-ignition-locking-system/)
- [Toward Efficient Fire Detection in IoT Environment: A Modified Attention Network and Large-Scale Data Set](https://scholariq.org/papers/toward-efficient-fire-detection-in-iot-environment-a-modified-attention-network/)
- [Forest Fire Detection using Machine Learning](https://scholariq.org/papers/forest-fire-detection-using-machine-learning/)
- [Prototype Early Warning Fire Detection System: Test Series 1 Results](https://scholariq.org/papers/prototype-early-warning-fire-detection-system-test-series-1-results/)
- [Experimental Design of IoT based LPG Gas Leakage Detection and Accident Prevention Mechanism using Intuitive Sensors](https://scholariq.org/papers/experimental-design-of-iot-based-lpg-gas-leakage-detection-and-accident/)
- [Improved the accuracy of IOT based LPG leakage detection system with early fire prediction and smart alert](https://scholariq.org/papers/improved-the-accuracy-of-iot-based-lpg-leakage-detection-system-with-early-fire/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.