IOT Based Teeth Pitfall Measurement System

Oral health monitoring is of paramount importance, and the early detection of teeth - related issues is crucial for preventive care. In this work, an effective embedded system for measuring dental pitfall is designed and put into operation using an ESP model, force sensors, Arduino, and cloud-based updates. The system aims to provide a non-intrusive and accessible solution for users to monitor dental health remotely. The proposed system utilizes Arduino as the embedded platform, integrating force sensors for accurate measurement of teeth pitfall forces during chewing. These force sensors are strategically placed within a custom-designed dental appliance, ensuring real- time data acquisition without discomfort to the user. Arduinos processing capabilities are harnessed to analyze the force data and extract relevant metrics related to teeth pitfall characteristics. To enhance the systems connectivity and enable seamless remote monitoring, an ESP module is employed to establish a secure and efficient communication link with the cloud. The cloud-based infrastructure facilitates real-time data transmission, storage, and analysis. The use of cloud computing ensures scalability, reliability, and accessibility, allowing both users and healthcare providers to access the teeth pitfall measurements anytime, anywhere. The systems architecture enables periodic cloud updates, providing users with insights into their dental health trends over time. Additionally, healthcare professionals can remotely assess the data, allowing for timely interventions and personalized recommendations. The ESP module ensures secure communication, protecting sensitive health information during transmission. The efficiency of the proposed system is demonstrated through extensive testing, validating its accuracy in measuring teeth pitfall forces. The integration of Arduino, force sensors, and cloud-based updates provides a comprehensive and user- friendly solution for continuous dental health monitoring. The systems low-cost, non-invasive nature, and cloud connectivity make it a promising tool for preventive dental care in both individual and healthcare settings.