Interfacing and Configuration of Dynamic Sensors

This study aims to develop a dynamic, user-configurable interface system for integrating sensors with the Raspberry Pi, addressing its lack of built-in analog-to-digital conversion capability. The objective is to enable real-time data acquisition and monitoring using both voltage and current-output sensors through the use of an external MCP3008 ADC and signal conditioning circuits. The methodology includes designing a flexible interface board, configuring sensor types and thresholds through terminal or ThingSpeak API, and collecting and visualizing data via a cloud dashboard. The system processes analog inputs using voltage dividers and current-to-voltage converters, transmitting digital readings at regular intervals. Findings indicate that the system accurately reads, scales, and processes multiple analog signals, supporting threshold-based alerts and cloud integration. The solution demonstrates reliability, precision, and ease of use, making it ideal for embedded systems education and real-world IoT monitoring applications.