That was the idea—we started by normalizing all the standard parameters found in most cameras. The challenge came when we had to incorporate brand-specific parameters, many of which are only used by a single manufacturer. Operators also weren’t keen on having values changed from what the camera itself provided, as some settings serve as familiar reference points. For example, they know the right detail enhancement values to use for football or studio work. So, we kept normalization for the key functions where it made sense, but for other parameters, we now try to stay as close as possible to the camera’s native values.

As for the topics on MQTT, they function as a kind of universal API—at least internally. Some partners and customers are already using them to automate certain functions. However, we haven’t officially released anything yet, as we wouldn’t be able to guarantee stability or prevent changes at this stage.