The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...

Abstract: With the extraordinary growth in images and video data sets, there is a mind-boggling want for programmed understanding and evaluation of data with the assistance of smart frameworks, since ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

Accurate and efficient crop row detection is essential for the visual navigation of agricultural machinery. However, existing deep learning–based methods often suffer from high computational costs, ...

Lumen – Asistente IA Empático y Multimodal (rostro y voz) en tiempo real. Potenciado por Llama 3.1 (Groq), Deepgram y Edge-TTS. A high-performance attendance system using Next.js with and ML-server ...

According to a new study, the use of an artificial intelligence-based "You Only Look Once (YOLO)" algorithm showed high precision in detecting B lines on lung ultrasound (LUS) images, with substantial ...

A clean, modular, real-time object detection pipeline built on YOLOv5 + PyTorch + OpenCV. It shows FPS, counts detected objects per frame, renders boxes, and (optionally) saves the video. torch==2.7.1 ...

Abstract: This paper is a lane line detection based on OpenCV. First, the image is processed after the image input. Later, the histogram equalization was used for image enhancement, which improved the ...