GitHub

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection.

"Exploring the frontiers of Dynamic Intelligence in YOLO." This work represents our passionate exploration into the evolution of Real-Time Object Detection (RTOD). To the best of our knowledge, ...
Harvard Business Review

When Using AI Leads to “Brain Fry”

A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...
IEEE

Low-Cost FPGA-Enhanced CNN Accelerator for Real-Time YOLO Object Detection & Classification

Abstract: This work presents a low-cost FPGA accelerator for real-time object detection and classification using a compressed YOLOv3-Tiny model. Existing FPGA-based CNN accelerators excel in one ...
IEEE

Object Detection and Hazard Alert System for Child Safety on Robot using YOLO

Abstract: This project outlines about Object Detection and Hazard Alert System for Child Safety on Robots Using YOLO. This invention integrated the YOLO (You Only Look Once) which helps in real time ...
GitHub

Huy-VNNIC/realtime-fall-detection

Realtime fall detection from webcam using OpenCV (no YOLO). State machine + ML classifier to trigger alarms and send alerts to iOS app via WebSocket. fall-detection-system/ ├── core/ # Core detection ...
Scientific Research Publishing

YOLO-AgriNet: A Deep Learning-Based Model for Real-Time Plant Disease Detection in Precision Agriculture ()

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...