Digit recognition with visible light using three photodiodes and 3D-preprocessed data

Digit recognition with visible light using three photodiodes and 3D-preprocessed data

van de Linde, Gijs (TU Delft Electrical Engineering, Mathematics and Computer Science)

Wang, Q. (mentor)
Zhu, R. (mentor)
Yang, M. (mentor)
Venkatesha Prasad, Ranga Rao (graduation committee)

Delft University of Technology

Computer Science and Engineering

CSE3000 Research Project

2023-07-03

This paper describes the feasibility of digit detection using three photodiodes and an Arduino Nano 33 BLE. This is done using a controlled lighting condition, using a bright lamp. It dives into the process of data collection, preprocessing and model selection for a recurrent neural network to do the classification of gestures into digits. Using a ”ConvLSTM double conv. layer model” with 128 units we were able to achieve an average accuracy of 0.500 ± 0.091 on a 5-Fold cross-validation procedure based on data that was collected in a controlled lighting environment. While this provides a foundation for digit detection using time-series data in a controlled light environment, further suggestions are made for future improvements and expansions in this area.

http://resolver.tudelft.nl/uuid:5571eda1-5eef-49c5-a6eb-3e7cab049c17

Student theses

bachelor thesis

© 2023 Gijs van de Linde