A collection of 4 CV applications.

This project is about real-time 2D object recognition. The goal is to have the computer identify a specified set of objects placed on a white surface in a translation, scale, and rotation invariant manner from a camera looking straight down. The computer should be able to recognize single objects placed in the image and identify the objects.

A mobile app developed by Jaber Mobarak to assist blind individuals. The app uses image recognition and artificial intelligence to identify and describe objects in real-time. Through audio feedback, it helps visually impaired users understand their surroundings and gain independence.

3D Perception project for the Robotics Nanodegree Program

Personal projects for an autonomous robotic platform using BCN3D moveo and ROS

Be My Eyes Glasses leverage advanced computer vision for real-time object recognition, paired with multilingual text-to-speech in various languages capabilities. These features provide visually impaired individuals with immediate auditory descriptions of their surroundings, empowering independence and confidence in navigation.

SSD, MobileNet v3, TensorRT, Jetson inference, Jetson Nano

a library for online object instance recognition in RGB-D scenes

Master's thesis on object retrieval in point clouds

Object recognition tool and relative distance detection using ORB_SLAM2 and YOLO V2

Introduce a Software Acceleration filter for Real Time Object Recognition with Binary Neural Network on FPGA

Object recognition with template matching in C++ OpenCV

Prototype of an intelligent safety system for detecting driver drowsiness

Cloud-based object recognition engine for robotics.

A framework comprising Point Cloud Library's (PCL) resources for point cloud processing, object and people recognition using Kinect.

A real time object recognition library

research about vision perception