Search
5 articles for “Fire detection”
-
AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
-
Fire Detection System
Abstract: Fire detection systems are engineered to identify the presence of fire or smoke and notify individuals of possible hazards. These systems employ a range of sensors, such as smoke detectors, heat detectors, flame detectors, and advanced algorithms, to recognize indications of fire inception or spread. When a fire is detected, alarms are activated, facilitating swift responses to minimize dangers and forestall fire incidents.
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 29–38 Read article
-
Smart Firefighting Robot using Arduino Uno
Abstract: A fire is dangerous and can have many repercussions. Numerous accidents can be avoided by promptly identifying and putting out a fire. Human resources have been our mainstay thus far. The person's life is often in jeopardy as a result. Consequently, fire safety becomes essential to save lives. The fire extinguishing robot proposed and designed in this work locates the fire and utilizes sprinklers to extinguish it when the pump …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 21–27 Read article
-
Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article
-
Enhancing LAN Security Using Machine Learning
Abstract: The modern Local Area Network (LAN) is a critical component of any organization's infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 07–16 Read article