Ricardo Santos

Papers

Total Citations

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About

Ricardo Santos is a computer vision researcher whose work focuses on the intersection of real-time object detection and edge computing. His most cited paper, "Real-time Object Detection Performance Analysis Using YOLOv7 on Edge Devices" (2024, 14 citations), provides a critical benchmark for deploying state-of-the-art detection models on resource-constrained hardware. This study systematically evaluates the trade-offs between accuracy, latency, and power consumption, offering practical guidance for applications in security, autonomous vehicles, and robotics. Santos’s contributions help bridge the gap between high-performance deep learning algorithms and the limitations of edge devices, enabling faster, more efficient real-time vision systems. His work is particularly valuable for researchers and engineers developing embedded AI solutions where computational resources are limited. By quantifying performance metrics across different platforms, Santos provides a foundational reference for optimizing YOLOv7 deployments, making his analysis a key resource for the growing field of edge AI.