AI BASED FIRE DETECTION AND MONITORING BOT

Project Title

AI BASED FIRE DETECTION AND MONITORING BOT

Project Area of Specialization Artificial IntelligenceProject Summary

This project describes the real-time firefighting robot which moves at a constant speed, identifies the fire, and then extinguishes it with the help of a pumping mechanism. The robot can be used in a place that has a small entrance or in small spaces because it has a compact structure. The system can potentially be useful to accompany firefighters and prevent an outbreak. From the experimental results, the robot can sense smoke and fire accurately in a short time. The proposed system can accurately detect the object which is firing in real-time and can easily differentiate it based on numbers. An ioT-based application with the camera is also implemented in the system which accurately generates the alert when the fire is detected.

Project Objectives

The major task in our project will make of fire monitor which operates via artificial intelligence because It reduces the danger of affecting human beings and additionally paintings extra as it should be and precisely. Normally fire is dangerous when it intensifies suddenly in any area, industry, or anywhere so it’s very dangerous to distinguish fire from that place to that person mostly guys lose their lives 5 cause of doing it, but if we use fire bot for distinguishing fire through Artificial Intelligence that recognizes the actual fire then release the water as per the requirement so we can smartly resolve that problem without someone losing a life. This project discusses and describes what kind of programs and languages are used for making it.

Project Implementation Method

This project can assist people in reducing human effort and saving time. The system application was created using the Python programming language and A camera, sensors, a Microcontroller unit, and motors are all part of the system. The data from the sensors is continuously delivered. This will collect data from sensors and cameras, then processes it according to the needs. If the data has an analog value, it is said to be analog. ADC conversion was used to convert the value to a digital value, which was then transferred to the android app and the server The PIR sensor, as well as the gas sensor, Because the sensor measurements for humidity and temperature are directly related. The device sends data to the server environment or native app. The only flame remains. The sensor is detected value used to determine whether or not the CO2 and water systems should be turned on. The robot is stationed in an area where fires are likely to occur. This robot is controlled by a microprocessor and sensors. The PIR sensors will communicate/ share information to the base central coordinator over the unit if there is a fire signal. The robot's brain is the coordinator unit. The sensor signals are used to make decisions. Through video processing, the integrated camera-based (CB) fire monitoring and the controlling system could monitor the defined region in actual time. It can transfer/ send a captured alarm photo to the admin section if a fire should be detected based on the shown video. Based on the given alarm image, the administrator makes a final validation. For instance, if an accident happened on the highway and produces a fire, victims can be rescued promptly using the image/video supplied by the detection algorithm, saving time and limiting damage.
 

Benefits of the Project

With the incrementing work on technological furtherance and sustainability, the main axis for the engineers to develop a smarter way of doing any task as we know that the activity of science is usually for the exceeding of the world so same goes for this scenario, Object detection is inextricably linked to other computer vision techniques like image segmentation and image recognition, which let us comprehend and evaluate scenes in movies and photos. Several real-world use cases for object detection are now being implemented in the market, and they are having a huge impact on various industries. Through this project, we can easily detect the desired object and place it into a predefined position.

Technical Details of Final Deliverable

The technical details of the project are as follows:

1. This robot was created using the availability of all four sensors.
2.  Information from PIR physical sensor, Integrated Flame based sensor, Information from Humidity (H) and Temperature (T) sensor, and Gas/ methane sensor are the four sensors.
3. An android app will have utilized for the live ongoing stream around the impacted region using an IP camera. All of the integrated sensors are utilized to keep a close eye on the fire accident area.

Both Hardware and Software are integrated.

Final Deliverable of the Project HW/SW integrated systemCore Industry ManufacturingOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Sustainable Cities and CommunitiesRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	62600
4wd robot chassis	Equipment	1	5800	5800
Uno r3 DIP	Equipment	2	4800	9600
ESP8266 ESP-01	Equipment	2	1500	3000
3* flame sensor	Equipment	2	1800	3600
Water pump	Equipment	1	6000	6000
Jumper wires	Equipment	2	1500	3000
Battery	Equipment	2	4250	8500
Cable of UNO	Equipment	2	1050	2100
ESP Camera	Equipment	2	4000	8000
Blynk	Equipment	2	5500	11000
Others	Miscellaneous	2	1000	2000