Build a DIY thermal camera out of the following main components:
Raspberry Pi Zero 2
Waveshare 19739 UPS HAT (C)
Waveshare 9904 3.5inch RPi LCD (A)
Tinkerforge Master Brick
Tinkerforge Flir 80x60 Thermal Sensor
Also i wrote a little program that can display and interact in realtime with the thermal image in several ways to get a portable low budget tool with many features.
Additional to the main aspects of a general open thermal camera setup i developed an algorithm that can detect and track fingerprints in the field of view and also estimates the order in which they were pressed.
The accuracy of the algorithm increases over time, but decreases after a certain point, but the algorithm can itself determine the best moment for a reading and also save the calculated data automatically.
The algorithm calculates a value for fingerprint pattern similarities that are not only based on shape and size but also on the intensity and fading behavior over time and many other aspects, allowing different patterns to be decoded.
Also this value can be used to get the best alternatives if the first code did not work as you can revers the order between similar fingerprints as next attempt.
The algorithm is also mostly stable when used in a non homogen temperature environment.
The software is written in Python and can be used with every other thermal camera that can output a 16bit thermal image.
This is a proof of concept being released so others can work with this idea and hopefully increase efficiency and stability and may also add some fancy new features.
Full code project avaiable under: [coming soon]
0:00 Intro
0:06 Raspberry Pi Setup
0:13 Custom programmed thermal viewer
1:29 Example of fingerprint order decoding
2:05 Advanced example with different shapes & sizes
Still need to do many tests and modifications but the first prototype seems be reachable.
Always welcome for ideas and other input about this topic!
More coming (hopefully) soon...
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