Automatic Air Filter
With California experiencing frequent wildfires, the need for an automated air filtration system became evident. The goal was to design a smart air purifier that detects poor air quality using dust sensors and automatically activates to improve indoor conditions. Additionally, there was incorporated an alert system to notify users via messaging apps when air quality drops. The project combined mechanical design, Arduino programming, and sensor integration to create a functional prototype.
The final prototype successfully demonstrated real-time air quality detection and automated response. The dust sensor accurately measured airborne particles, triggering the air filter when pollution levels exceeded a set threshold. Initial tests revealed minor discrepancies due to external airflow factors, but adjustments to sensor placement improved accuracy.
The system effectively balanced energy efficiency and air quality management, offering a scalable solution for homes, offices, and schools. Future improvements could include advanced filtering mechanisms and integration with IoT systems for enhanced remote monitoring.
