| Description: |
Fire accidents cause severe damage to residential and industrial environments, requiring rapid detection and timely response. This paper presents a vision-based fire detection and robotic suppression system that combines stationary surveillance with a mobile firefighting unit. A fixed-position camera continuously monitors the area and performs real-time flame detection using a Haar Cascade classifier. To reduce false alarms, a temperature sensor validates abnormal heat rise before suppression is activated. Once confirmed, the fire alert is transmitted wirelessly to a mobile robot controlled by an Arduino Uno. The robot navigates toward the affected location using an onboard camera for obstacle avoidance and safe movement. An ESP8266 module enables wireless communication and IoT-based control via the Thing Speak platform. Upon reaching a safe distance, the robot stops and activates a water pump for suppression. Images and short video clips are simultaneously sent to a Telegram bot for real-time alerts and remote monitoring. The proposed system enhances detection reliability, operational safety, and response efficiency.Keywords: Fire detection, Haar Cascade, Arduino Uno, ESP8266, IoT, Robotic suppression, Vision system, Temperature verification |