Ariana Projets réalisés
Development and Integration of a Vehicle Features Detection and Classification Model for Embedded Systems
#Integration of a Linux Device Driver for an SPI Sensor with its User-Space Application
#AI-based Development and Deployment of an Embedded System for Automatic License Plate Detection and Identification
#Minimal Router System on Raspberry Pi
#Face Landmark Detection and 3D Face Point Cloud Generation
#Video Scraper and Clip Extractor
#Expériences
Computer Vision Engineer
J’ai de l’expérience dans le video scraping, le streaming temps réel via MQTT, et la mise en place de pipelines MLOps. J’ai travaillé sur des techniques de video embedding spatio-temporel avec des outils comme Weaviate et DVC, ainsi que sur l’utilisation de LLM et de méthodes de Deep Learning pour l’analyse vidéo avancée
End Of Studies Internship
Development and Integration of a Vehicle Features Detection and Classification Model for Embedded Systems
➡️ Built an AI model with YOLOv8 to detect and classify vehicle attributes (type, color, brand, license plate, nationality).
➡️ Implemented MQTT communication and a video injection app (V4L2, C++).
➡️ Integrated everything into a custom Yocto image and deployed on Nvidia Jetson Nano.
Summer Internship
Integration of a Linux Device Driver for an SPI Sensor with its User-Space Application
➡️ Developed a Linux Device Driver (LDD) for an SPI sensor.
➡️ Created a C user-space application for sensor interaction.
➡️ Built and integrated the solution into a Yocto Project image for Raspberry Pi 4.
End-of-Year Project
AI-based Development and Deployment of an Embedded System for Automatic License Plate Detection and Identification
➡️ Designed an embedded AI system for real-time license plate detection.
➡️ Used MobileNet SSD + data augmentation for accurate recognition.
➡️ Deployed on a Raspberry Pi 4 for edge computing.
