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, ...
InfoWorld

What I learned using Claude Sonnet to migrate Python to Rust

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...
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 ...
about.fb

New Segment Anything Models Make it Easier to Detect Objects and Create 3D Reconstructions

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...