Ahmed . Ben Atitallah Associate Professor 4937 abenatitallah@ju.edu.sa Electrical Engineering - College of Engineering College College of Engineering كلية الهندسة Department Electrical Engineering الهندسة الكهربائية Researches 6 6 Page Visits No view count available Current courses Recent courses Current courses Recent courses Fm researches Last Researches 2024-12-31 A Novel Real-Time Text-to-Speech System Using Raspberry Pi for Assisting the Visually Impaired Ahmed Ben Atitallah Read more 2024-02-20 An effective obstacle detection system using deep learning advantages to aid blind and visually impaired navigation Ahmed Ben Atitallah Read more 2023-05-01 Embedded Implementation of an Obstacle Detection System for Blind and Visually Impaired Persons’ Assistance Navigation Ahmed Ben Atitallah Read more fm info Researches 2024-12-31 A Novel Real-Time Text-to-Speech System Using Raspberry Pi for Assisting the Visually Impaired Ahmed Ben Atitallah Read more 2024-02-20 An effective obstacle detection system using deep learning advantages to aid blind and visually impaired navigation Ahmed Ben Atitallah Read more 2023-05-01 Embedded Implementation of an Obstacle Detection System for Blind and Visually Impaired Persons’ Assistance Navigation Ahmed Ben Atitallah Read more 2023-03-12 Indoor Signs Detection for Visually Impaired People: Navigation Assistance Based on a Lightweight Anchor-Free Object Detector Ahmed Ben Atitallah Read more 2023-02-24 Scene Recognition for Visually-Impaired People’s Navigation Assistance Based on Vision Transformer with Dual Multiscale Attention Ahmed Ben Atitallah Read more 2023-01-20 An Efficient Text Recognition System from Complex Color Image for helping the Visually Impaired Persons Ahmed Ben Atitallah Read more Experience Assistant professor ENETCOM 2008 - 2013 Associate Professor ENETCOM 2013 - 2018 Education Ph.D. Bordeaux University - ENSEIRB 2007 - 2007 Projects An efficient Hardware/Software denoising system for medical image 2023 - 2024 An FPGA design of a real-time image denoising system for medical images 2021 - 2022
