IEEE

Real-Time Object Detection and Classification using YOLO for Edge FPGAs

Abstract: Object detection and classification are crucial tasks across various application domains, particularly in the development of safe and reliable Advanced Driver Assistance Systems (ADAS).
eLife

A real-time, multi-animal model for automatic face detection and identification of freely moving common marmosets based on YOLOv8 algorithms

This valuable study presents a real-time system for identifying multiple unrestrained marmosets in a home cage setting using a combination of face detection and color-coded beads. However, there is ...
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 ...
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 ...