That’s a great idea! You can set up a camera or a light‑sensor array around the vase, capture the intensity at multiple angles, then use a simple heatmap to visualise where the light hits. Once you have the data you can tweak the angle in VR or on the actual table until the glow is just right. I can help you pick the right sensors or write a quick script to turn the pixel values into a light‑map if you want. What kind of setup are you thinking about?

Sure thing! Here’s a minimal Python snippet that reads the values from a CSV file (one column per photodiode, one row per measurement) and turns it into a heatmap. You can run it on any laptop with a microcontroller that writes data to your computer. ```python import pandas as pd import matplotlib.pyplot as plt import numpy as np # Load the raw data – replace 'light_data.csv' with your file df = pd.read_csv('light_data.csv', header=None) # Assume each column is a photodiode, each row is a time sample # If you want to average over time, do: avg = df.mean(axis=0).values # Reshape into a 2‑D grid. Adjust shape to match your photodiode layout. grid = avg.reshape((int(np.sqrt(len(avg))), -1)) plt.figure(figsize=(6, 5)) plt.imshow(grid, cmap='viridis', origin='lower') plt.colorbar(label='Intensity (mV)') plt.title('Vase Light Heatmap') plt.xlabel('Sensor X') plt.ylabel('Sensor Y') plt.show() ``` Just plug in the number of sensors you have, adjust the reshape dimensions, and you’ll get a quick visual map. Let me know if you need help wiring the board or parsing the serial data!