This innovative approach significantly enhances object detection accuracy while reducing reliance on real-world images. Pointing out that gathering such real-world data can be expensive ...

Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence algorithm that can quickly detect and react to traffic lights.

The RA-Framework dynamically manages CPU, RAM, and disk storage resources for YOLO-based object detection, supporting multiple camera streams and scheduling mechanisms. The framework was implemented ...

Abstract: Object detection is a crucial ... We integrate this module into a dual-YOLO architecture, forming YOLO-G3CF. The contrastive loss enforces similarity between the features sent to the ...

This project provides real-time object detection and tracking capabilities from a camera feed. ├── main.py # Main application entry point ├── models/ # Model implementations │ ├── detector.py # YOLO ...

This ROS 2 workspace contains a project demonstrating real-time object detection using a smartphone camera stream (via Android) integrated with YOLOv5/v8 through community ROS packages. The detections ...

BENGALURU: Researchers at the Indian Institute of Science (IISc) have developed an innovative solution to a persistent challenge in Mixed Reality (MR) technology for industrial applications: the ...