Microcontroller
STM32
Embedded fingerprint recognition
Memory-constrained image processing and matching in C.
The deployment of computer vision solutions across various hardware platforms.
Hardware deployment evolution
Microcontroller
Embedded fingerprint recognition
Memory-constrained image processing and matching in C.
Single-board computer
Object detection and sorting
Lightweight real-time vision with OpenCV and compact models.
Accelerated edge AI
Industrial edge monitoring
GPU-accelerated deployment for Edge AI and IoT systems.
Server infrastructure
Multi-camera vision platform
Concurrent real-time detection, tracking, and other vision tasks.
Image processing, computer vision deep learning, real-time applications, edge deployment.
Real-time multi-camera detection, tracking, segmentation, classification, and face recognition with a shared-backbone architecture.
End-to-end image acquisition, enhancement, segmentation, classification, and embedded optimization for non-uniform lighting conditions.
A lightweight OpenCV and MobileNet application for real-time object detection on Raspberry Pi 3.
An Edge AI system for real-time object detection in night vision.
Raw fingerprint acquisition through SPI, enhancement using STFT and Gabor filtering, ridge analysis, feature extraction, and efficient matching.
I am open to applied research and engineering collaborations in edge computer vision, explainable AI, and industrial AI.
Contact me