Microcontrollers now process computer vision locally with neural hardware, running models like YOLO without cloud ...

Overview This project implements an Object Detection System using Artificial Intelligence (AI), Deep Learning, and Computer Vision techniques. The system is designed to detect objects present in ...

This project was developed as part of the Epsilon AI Computer Vision track. It implements an end-to-end object detection system using YOLOv8 to detect objects in real-world images. Multiple training ...

Cybersecurity researchers have disclosed details of a stealthy Python-based backdoor framework called DEEP#DOOR that comes with capabilities to establish persistent access and harvest a wide range of ...

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 presents an enhanced approach to real-time object detection, addressing challenges such as movement dynamics and environmental variability. The proposed method employs transfer ...

This project focuses on enhancing the lives of individuals who are blind or visually impaired to make independence and mobility easier. By using a head-mounted Intel RealSense camera connected to a ...

Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...