http://dspace.ensta.edu.dz/jspui/handle/123456789/86 Wed, 25 Mar 2026 04:21:51 GMT 2026-03-25T04:21:51Z http://dspace.ensta.edu.dz/jspui/handle/123456789/395 Title: Test and Validation of a motorcycle dashboard Authors: ELABASSI, Mohammed Yassine; KHOULA, Omar; ZELLAT, Khadidja (Directeur de thèse); MAOUCHE, Idris (Directeur de thèse) Abstract: It’s a presentation of the design and implementation of a Hardware-in-the-Loop (HIL) bench dedicated to testing a motorcycle dashboard. This project aims to simulate various motorcycle conditions by generating realistic analog and digital signals to verify the proper functioning of the dashboard in a controlled environment using the actual tools of Vector Informatik that are made for automotive test and validation. The bench consists of a microcontroller-based system (ESP32 and Arduino Nano), DAC modules, relays, and signal conditioning circuits, all coordinated together by custom firmware. This work highlights the challenges of embedded systems integration, real-time signal emulation and the importance of verification tools in the development lifecycle of automotive-grade electronics Description: Projet de fin d’étude d'ingeniorat: Systèmes Embarqués: Alger: Ecole Nationale Supérieure des Technologie Avancées: 2025 Wed, 01 Jan 2025 00:00:00 GMT http://dspace.ensta.edu.dz/jspui/handle/123456789/395 2025-01-01T00:00:00Z http://dspace.ensta.edu.dz/jspui/handle/123456789/294 Title: Conception d’un drone multirotor équipé d’un mode de pilotage automatique basé sur la vision Authors: BEN CHIKH El HOUCINE, Mohamed; BOUCHACHI, Islem (Directeur de thèse) Abstract: This work focuses on the development of a multirotor drone with a vision-based automatic piloting mode. The project integrates various components, including the Pixhawk 2.4.8 flight controller and the ESP32-CAM module for real-time visual data transmission. By utilizing vision-based navigation, the drone’s security is improved, instead of GPS systems that communicate with satelite by electromagentic waves that can be easily hacked. This project aims to demonstrate the efficacy of vision-based systems in ensuring reliable and secure drone operations. Camera can replace traditional GPS systems and the drone relies on its estimatation location Description: Projet de fin d’étude d'ingeniorat: Systèmes de Télécommunications et Réseaux:Alger: Ecole Nationale Supérieure des Technologie Avancées: 2024 Mon, 01 Jan 2024 00:00:00 GMT http://dspace.ensta.edu.dz/jspui/handle/123456789/294 2024-01-01T00:00:00Z http://dspace.ensta.edu.dz/jspui/handle/123456789/290 Title: Automatic verification of kinship based on facial images Authors: AMEUR, Lina; MOKDAD, Fatiha (Directeur de thèse) Abstract: Facial Kinship Verification, the process of identifying family relationships through facial images, is gaining more interest due to its many applications. This work proposes the use of feature extraction technique for kinship verification: the Histogram of Local Binary Patterns (Hist LBP). Hist LBP offers a richer representation of facial features by capturing both texture and color information. We evaluate its effectiveness against established methods like Local Phase Quantization (LPQ) and Local Binary Patterns (LBP) across various color spaces to assess its potential for improvement. Furthermore, we explore the impact of different normalization techniques applied to the Hist LBP descriptor in order to further enhance performance. The normalized Hist LBP features are then fed into a Support Vector Machine (SVM) classifier with 5-fold cross-validation for robust model training and evaluation.We evaluate the system’s performance using the KinFaceW-II benchmark, allowing us to analyze the impact of Hist LBP on kinship verification accuracy compared to existing approaches. Ultimately, this work strives to contribute to the advancement of facial kinship verification technology by providing a robust and effective solution. Description: Projet de fin d’étude d'ingeniorat: Systèmes Embarqués:Alger: Ecole Nationale Supérieure des Technologie Avancées: 2024 Mon, 01 Jan 2024 00:00:00 GMT http://dspace.ensta.edu.dz/jspui/handle/123456789/290 2024-01-01T00:00:00Z http://dspace.ensta.edu.dz/jspui/handle/123456789/289 Title: A Smart Glove Empowered by AI embedded on a Raspberry Pi Authors: Benbrahim, Tarek; Bougherirah, Hamida (Directeur de thèse); Habani, Lamia (Directeur de thèse) Abstract: This thesis presents the development of a smart glove system designed to translate ASL gestures into text and speech. The system uses a combination of flex sensors for finger movement detection, a module that combines accelerometer and a gyroscope for hand gesture capture, and a microcontroller for data processing. Data from all the sensors modules is acquired using an esp32, while the Raspberry Pi 4 is used for executing a machine learning model based on Random Forest algorithms. This model is trained with a dataset to recognize ASL gestures and convert them into text which is then synthesized into speech using a TTS module. That glove aims to help the deaf community to interact easily with the other categories of the society.Initial testings showed successful results,future work will focus on improving the device’s capabilities with other sign languages. Description: Projet de fin d’étude d'ingeniorat: Systèmes Embarqués:Alger: Ecole Nationale Supérieure des Technologie Avancées: 2024 Mon, 01 Jan 2024 00:00:00 GMT http://dspace.ensta.edu.dz/jspui/handle/123456789/289 2024-01-01T00:00:00Z