Noise pollution is a significant yet often overlooked environmental issue, impacting millions of people daily. Common health problems resulting from noise pollution include hearing loss, high blood pressure, heart diseases, sleep disturbances, stress, and headaches. The challenge in mitigating noise pollution lies in its detection and the subsequent silencing of the noise source, a task that is impractical to perform manually.
This project proposes an automatic noise pollution measurement and silencing system designed for use in environments such as schools, colleges, libraries, and offices. The system detects noise levels in real-time and automatically triggers alerts when the noise exceeds predefined thresholds, thereby facilitating noise control.
Key features of the system include:
The system utilizes an array of microphones to accurately measure noise levels in three directions. An Arduino-based controller processes the noise data from these microphones continuously. Users can set the maximum allowed noise levels using the display and buttons on the device. When noise levels remain below the set threshold, the system status is indicated as green. If the noise exceeds the threshold, the system triggers a buzzer alert and displays a message, prompting individuals to reduce noise levels. The alert persists until the noise returns to acceptable levels, upon which the system reverts to green status.
While this project employs an Arduino controller, it can also be enhanced by using an ESP8266 module to send data online for remote monitoring and control. Alternatively, integrating a GSM module with the Arduino can enable SMS notifications for noise level alerts, further expanding the system's versatility and application in various settings.
This innovative solution provides an effective and automated approach to managing noise pollution, ensuring a quieter and healthier environment in various settings.
The most important intention of this thesis includes undertaking modern technology by designing and implementing a smart airtime vending machine known as a self-service airtime vendor machine that will come as an additional method apart from the current airtime selling and buying methods which are m...
Read more>>In most real-time scenarios such as emergency first response or a patient self-monitoring using a wearable device, it is likely that accessing a healthcare physician for assessing potential vital sign anomalies and providing a recommendation will be impossible; thus potentially putting the patient a...
Read more>>Food insecurity is a huge problem that is affecting countries under development, particularly in sub-Saharan Africa. The ability to collect data with high resolution and field wide in precision agriculture has come to the attention of key players in agronomic crop production as well as in agronomica...
Read more>>Mushrooms are considered as one of the main sources of both medicinal and culinary products. Growing mushrooms by watering have been taken into consideration with attention as an efficient way of producing the desired harvest in them. Shiitake mushroom (Lentinula edodes) is the most important culina...
Read more>>Pandemics such as the COVID-19 pandemic cause a significant loss of human life around the world, and they constitute a very big challenge to public health. The lack of efficient and well-monitored vaccination systems leads to people's death and impact the economy of individuals and of the country in...
Read more>>