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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.

C++ 98.82% CMake 1.18%
binarization bounding-boxes classification cpp euclidean-distance hu-moments image-moments knn-classification object-recognition opencv segmentation thresholding training

real_time_2d_object_recognition's Introduction

💫 About Me:

Hello folks, I am Rishabh Singh, a passionate robotics enthusiast pursuing my Master of Science in Robotics at Northeastern University. With a strong skill set in programming, tools, and libraries, I have experience in designing telecom networks and developing wireless surveillance bots. My projects showcase my expertise in Autonomous systems, Computer Vision, Object detection & recognition, and sensor fusion. I am dedicated to pushing the boundaries of robotics and contributing to innovative advancements in the field.

Introducing myself in a single sentence : "I am an Ordinary man with Extraordinary dreams".

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💻 Tech Stack:

C C++ Python Anaconda ROS NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Arduino LINUX Raspberry Pi CMake Notion

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