Build practical Edge AI applications with Raspberry Pi, from basic concepts to object detection and robotics, using the AI ...

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

A complete end-to-end Multi-Object Tracking application using C++ with YOLO object detection and SORT-based tracking algorithm. mot_project/ ├── CMakeLists.txt # CMake build configuration ├── ...

ABSTRACT: A nation’s development depends in part on the quality of its road network. To this end, resources are being deployed to monitor the surface condition of our roads. Applying deep learning to ...

Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...

Personal Protective Equipment (PPE) Object Detection using YOLOv11 This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture.

Abstract: The growing need for automated object detection and recognition in visual data has become crucial in various domains, including surveillance, autonomous vehicles, and image analysis.

Edge AI implementation presents significant technical challenges for developers working with resource-constrained embedded systems. Infineon Technologies AG has expanded its Edge AI portfolio with the ...