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It's to be released in March , but here is the github.com/IntelRealSense/RealSenseID page so you can get a sense of how it will work. I'll be waiting for the python wrapper personally (if I pick one up)
A few months ago, I was playing with a thermal sensor array, r/JetsonNano/.../mlx90640_32x24_interpolated_to_640x480_on_the. The price has gone from ~$70 to $129 since last Spring, link (demand). The image displayed would have been in about 1 m from the sensor. If I were to have a cup of coffee close to the sensor, I would get more accurate high temps. If I were to have a cup of coffee a couple meters back, the max temperature read would be decreased (due to what I presume are resolution issues/ nature of the sensor; also note I was working with scaled data). I think I saw some code at github.com/pimoroni/mlx90640-library that would be helpful as it would segment areas of elevated temperature; which could be useful to you.