How to detect Glass with vl53l8cx histogram data Hello everyone, I am currently working with the VL53L8CX sensor to explore solutions for a specific use case. In particular, I am trying to detect glass material using the CNH (Compacted Normalized Histogram) data—more about this can be found under the topic: Artificial Intelligence Enabler .From my research, I understand that the sensor generates a total of 121 histogram bins. However, due to constraints such as memory limitations, only 18 or 24 bins can be accessed, depending on the configuration used.I started by configuring the sensor to retrieve the first 24 bins and set the subsample value to "1", so that each bin corresponds to a single zone. Then, I attempted to determine the first significant return using an interpolation algorithm I found online. According to the documentation, I multiplied the resulting value by 3.75 to obtain the actual distance.def interpolate_bin(signal_values, ambient_light_level):
for i in range(len(signal_values) - 1):
if signal_values[i] &
