Curved objects pose a fundamental challenge for task transfer in robotics: Unlike planar surfaces, curved surfaces do not admit a global reference frame. As a result, task-relevant directions such as ...

Abstract: This paper proposes a conventional computer-vision pipeline for real-time lane detection using Python and the OpenCV module. This simple and computationally efficient method accounts for ...

This project performs real-time object detection using a webcam feed. It combines OpenCV for video capture and display with a pretrained Ultralytics YOLOv8 model for detection. Every detected object ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

Abstract: Artificial Intelligence continues to be pivotal in recent transformations of smart retail systems through inventory tracking, automated checkout processes, and shelf management, etc. We ...

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...