Sensor Analysis Colaboratory Notebook

This repository contains the full Google Colaboratory notebook used to analyze the performance characteristics of a non-contact capacitive sensor.

📘 Sensor_Project Notebook Content

• Processed collected data of sensor
• Height vs Average Voltage
• Calibration Curve Derivation
• Sensitivity vs Height Analysis (Theoretical & Empirical)
• Resolution Estimation
• Linearity Error and R² Calculation
• Hysteresis Curve & Error Evaluation
• Repeatability Analysis
• Confidence Intervals of Voltage Measurements
• Accuracy Metrics: RMSE, MAPE, and Point-wise Accuracy

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📊 Tools Used

• Python 3.8
• NumPy, Matplotlib
• Google Colaboratory

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📝 How to Use

Simply open the notebook in Google Colab to rerun or reproduce results. All code cells are organized and labeled clearly for individual analysis sections.

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📎 Citation (IEEE Style)

[1] O. Samarakoon, “Sensor Calibration Analysis,” GitHub, Apr. 2025. [Online]. Available: https://github.com/Oshadha345/Sensor-Calibration-Analysis

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⚠️ Notes

• All measurement data is stored in-line.
• Model fitting parameters are calculated directly from collected experimental data.
• Graphs are exported and included in the main report.