Poster, Processing Data from Neuromorphic Vision Sensors on Microcontrollers

Processing Data from Neuromorphic Vision Sensors on Microcontrollers

This project explores the use of neuromorphic vision technology for real-time digit recognition on embedded systems. Leveraging the Prophesee GENX320 sensor and STM32 microcontroller, we developed a low-power, high-performance solution that recognizes handwritten digits in real time and displays them directly on the microcontroller’s screen. The project aims to explore the possibilities of integrating known neural network models into small embedded systems and adapting them to work with the new and less explored neuromorphic vision sensors, which possess multiple advantages in terms of computational efficiency and memory usage compared to traditional video cameras.

  • CS: Design Project

    The CS Design Project module is one of the two final modules of the Bachelor. In the design component of this module, students show that they master the entire design trajectory, from the first informal specification of requirements by a client to the delivery and presentation of a well-documented working product. Projects are submitted by clients from either inside or outside the University. Students perform the project in groups of 3-5 students under the supervision of a teacher from the Department of Computer Science. The supervisor is also the one who assesses the process and products of the group. Project deliverables include a project proposal, a design report, a presentation and a poster.

  • Design Report

    View the full design report for this project.

Poster, Processing Data from Neuromorphic Vision Sensors on Microcontrollers

Processing Data from Neuromorphic Vision Sensors on Microcontrollers

This project explores the use of neuromorphic vision technology for real-time digit recognition on embedded systems. Leveraging the Prophesee GENX320 sensor and STM32 microcontroller, we developed a low-power, high-performance solution that recognizes handwritten digits in real time and displays them directly on the microcontroller’s screen. The project aims to explore the possibilities of integrating known neural network models into small embedded systems and adapting them to work with the new and less explored neuromorphic vision sensors, which possess multiple advantages in terms of computational efficiency and memory usage compared to traditional video cameras.

Cristian Angheluș, Cezar Vintea, Emil Adam, Daniel Nicoară

CS: Design Project

The CS Design Project module is one of the two final modules of the Bachelor. In the design component of this module, students show that they master the entire design trajectory, from the first informal specification of requirements by a client to the delivery and presentation of a well-documented working product. Projects are submitted by clients from either inside or outside the University. Students perform the project in groups of 3-5 students under the supervision of a teacher from the Department of Computer Science. The supervisor is also the one who assesses the process and products of the group. Project deliverables include a project proposal, a design report, a presentation and a poster.

Design Report

View the full design report for this project.