Jul 2026· 2026 7th International Conference on Smart Systems and Inventive Technology (ICSSIT)· pp. 133-140· 0 citations· 14 references
Abstract
Fire hazards pose a significant threat to human safety and environmental sustainability, particularly in densely populated and infrastructure-critical regions. This paper presents the design and experimental evaluation of a low-cost autonomous fire detection and suppression system based on a multi-sensor fusion approach, aimed at smart and sustainable environments. The proposed system integrates flame, smoke (MQ-2), temperature (DHT22), and ultrasonic sensors to enable reliable fire detection, environmental monitoring, and autonomous navigation. A decision-based sensor fusion algorithm is employed to minimize false alarms and improve detection robustness under varying conditions. The system is capable of autonomously locating fire sources and performing targeted suppression using a servo-controlled water nozzle. Experimental validation conducted across multiple indoor scenarios demonstrates a detection accuracy of 91.2%, an average response time of 2.4 s, and a 30% reduction in false alarms compared to single-sensor methods. The proposed solution offers a cost-effective and scalable approach for early-stage fire response and can be extended to IoT-enabled smart safety systems for sustainable infrastructure.
Fire incidents continue to pose substantial threats to human safety, infrastructure, and valuable assets. Traditional fire-monitoring systems commonly use smoke and thermal sensing techniques and frequently depend on manual action, which can delay emergency response and worsen fire-related losses. This introduces an au...
Akash B, Mohammed Roshan Zameer, Vashu, Sanjay Kum· International Journal of Adv...· 0 citations
Findings indicate that the proposed Multiple Linear Regression model is effective for predicting the detection delay of an IoT-based fire detection system and accurately estimates the system response time.
Willnotus Daniel Awil Awil, Candra Gudiato, Azriel Christian Nurcahyo et al.· Proceeding of International...· 0 citations
A forest fire patrol and assisted identification system based on a quadrotor UAV platform, integrating a dual-sensor payload comprising a 30× optical zoom visible-light camera and a 640×512 infrared thermal imaging camera, with a lightweight YOLOv8n algorithm deployed on an onboard edge computing module is presented.
Qiang Song, Chen-Xin Liu, Wei-Jian Kuang et al.· International Conference on...· 0 citations
Mined territories represent a long-term threat to human safety, economic activity, and environmental stability. The diversity of natural conditions, soil properties, vegetation cover, and mine construction significantly complicates the reliable detection of explosive objects (EO) and limits the applicability of individ...
T. Hutsul, M. Khobzei, V. Tkach· 2026 IEEE 3rd Ukrainian Micr...· 0 citations
Occupational safety remains a significant challenge in industrial and agricultural environments due to limited visibility and obstacle-related accidents. This study presents the development of an IoT-based 360° ultrasonic obstacle detection system for real-time hazard monitoring. The proposed system integrates an ESP32...
Jason Wen, Siti Fatimah Sulaiman, N. Sunar· International journal of res...· 0 citations
As interest in autonomous ships continues to grow, the need for systems capable of automatically detecting and suppressing fires without human intervention is increasing. In this study, a four-channel + UV fire detection model integrating RGB, infrared (IR), and ultraviolet (UV) sensors, along with a LiDAR-based fire s...
Hyuk-Cheon Kwon, W. Ruy, Yun Hwang et al.· Applied Sciences· 0 citations
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