Wildfires are destructive natural disasters that harm ecosystems, economies, and human lives. As climate change accelerates, wildfires are becoming more frequent and intense. Our team aims to address this pressing issue by developing a comprehensive system to detect, prevent, and mitigate wildfires, thus reducing economic losses and protecting both human and wildlife lives.
Let's Discover
BitByBit
Innovation Fest 2025
About BitByBit
UN SUSTAINABILITY DEVELOPMENT GOALS
Empowered and Driven:
Delivering Solutions for Global Issues
SDG 3 (Health)
Wildfires harm health via smoke; detectors enable early warnings, reducing respiratory risks.
SDG 11 (Cities)
Detectors protect urban areas near forests, making communities safer and more resilient.
SDG 13 (Climate)
Climate change worsens fires; detectors help cut emissions by enabling faster containment.
THE STORY BEGAN
DESIGN STORY
Challenges
Testing Limitations – Simulating real-world wildfire conditions to validate system accuracy is difficult. Hardware Challenges – Designing durable, weatherproof sensors that withstand extreme heat, wind, and corrosion. Power & Connectivity – Keeping sensors powered in remote areas and maintaining stable data transmission.
Solution
Testing Limitations – Use controlled fire labs, AI simulations, field trials, and heat sources like infrared lamps. Hardware Challenges – Use heat-resistant materials, waterproof enclosures, self-cleaning coatings, and extreme condition testing.
Use Case
Testing Limitations – Fire departments conduct controlled burns to validate sensor accuracy. Hardware Challenges – Weatherproof sensors operate in extreme wildfire conditions without failure.
TECHNOLOGIES
List of Essential Tools and Technologies
THE PROCESS
PROTOTYPE DESIGN
A fire detection system detects flames in all locations by sending immediate alerts through a website and email alerts to its users. The system functions to increase fire safety by delivering real-time warnings which enable users rapid response before fires become extensive.
Heat and smoke sensors function as the main elements of the prototype to perform constant environmental assessments. The system activates server-based communications that process fire alert data to generate notifications when fire conditions are identified. The website shows a control panel with all sensor readings and fire risk level indicator and alert tracking information.
Reliability features in the sensors because they meet both extreme weather requirements and resistance to high temperatures regardless of their placement inside or outside.
The system will be updated through Website and artificial intelligence fire prediction while improving sensor performance capabilities. The designed prototype presents an operational and expandable solution for fire detection which enhances fire protection together with safety protocols.
Online Marketing
Creative agency
Web development
PLEDGE
Impact on the market
Developments in Technology
Early fire identification and response are improved when artificial intelligence (AI) and machine learning are integrated into detection systems.
Emerging Technologies: Market expansion prospects arise from the use of AI and satellite-based detection system
RESULTS
FINAL PRODUCT
A system that detects fires commences when sensors actively scan for temperature deviations and indications of fire combustion. The sensors function to identify heat and smoke together with environmental temperature alterations as fire warning indicators.
The sensor sends acquired information to a central processing unit that consists of a Raspberry Pi unit. The hardware system uses a Raspsbery Pi computer to function as its central information processor which handles sensor input data. A custom program operating on the software analyzes data in real-time. The programmed code detects fire patterns through its ability to recognize sudden temperature elevations and smoke detection.
The Raspberry Pi sends an alert through the detection of fire to the website. Through the website users can monitor the system in real time through its interface while receiving instant system updates and notifications. Users who register on the system can receive email alerts that the system sends according to their selected notification preferences. The system dispatches emails through the email preferences which users previously established within the website configuration settings.
Users of the website system can adjust their alert options to determine times and notification methods. Users can decide to get instant fire alarm alerts through email or establish automatic email notifications for particular monitoring situations.
Real-time fire detection allows users to undertake immediate protective actions because the process works in a seamless manner. A reliable fire detection system results from the integration of sensors with Raspberry Pi processing joined by website/email alert mechanisms.
