Hi I am Raghunath Nagaraj - My passion for technology, particularly in the realms of C/C++, Open CV,Object Detection, Tracking and Real-Time Operating System
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SwarmDronesVideoDistribution
May 27, 2024 – April 2, 2025
A full multi-client UDP server for real-time video feed transmission with a swarm of autonomous drones.
View ProjectKalmanFilter-Snippets
May 27, 2024 – March 5, 2025
My implementations of kalman filter, which is a very powerful tool used in Tracking,Self-driving car and robotics
View ProjectScale-Invariant-Feature-Transform
May 24, 2024 – May 24, 2024
Scale-Invariant Feature Transform (SIFT) is a powerful computer vision algorithm designed to detect, describe, and match local features in images and videos
View ProjectVehicle-Detection-and-Counting
May 9, 2024 – May 9, 2024
C++ code is designed to detect and count vehicles in a video stream using OpenCV (Open Source Computer Vision Library).
View ProjectYoloV8-CPP-Onnx-OpenCVDnn
May 2, 2024 – May 21, 2025
This repository will demostrate how to deploy a offical YOLOv8 pre-trained model with OpenCV readNet api either using CPU or GPU(CUDA)in C++
View ProjectCamera-Stream-Zeromq-Publisher-Subscriber
April 3, 2024 – May 21, 2024
Application that captures video frames from a camera then publishes them over a ZeroMQ (ZMQ) publisher socket and receives video frames from a ZeroMQ (Zero Message Queue) subscriber socket and displays them in an OpenCV window
View ProjectCameraTampering
March 11, 2024 – May 24, 2024
Camera tampering is a critical issue in surveillance systems, involving any intentional or unintentional interference with the normal operation of security cameras. This can include actions such as physically obstructing the camera lens, redirecting the camera's focus, defacing the camera, or digitally manipulating the video feed.
View ProjectMultiThreaded-Object-Detection-and-Tracking
August 17, 2023 – February 29, 2024
Implementation of a multithreaded application for detecting objects using Yolo v3/v4/v5 and tracking objects from RTSP Video Stream.
View ProjectYoloV5-CPP-Onnx-OpenCVDnn
July 27, 2023 – May 29, 2025
This repository will demostrate how to deploy a offical YOLOv5 pre-trained model with OpenCV readNet api either using CPU or GPU(CUDA)in C++
View ProjectFFmpeg-RTSP
July 27, 2023 – February 26, 2025
Reading RTSP Stream,Recording RTSP Stream and Restream RTSP using FFmpegLibrary
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong passion for complex technical challenges, particularly in computer vision and real-time systems. While the projects are diverse within the C++ and computer vision domain, there is a lack of direct experience with Java or typical backend development frameworks, which is the target role. This suggests a potential misalignment with the immediate technical stack required for a Java Backend Developer role, but a strong fit for roles requiring deep technical problem-solving and C++ expertise. The candidate's personal projects indicate a self-starter who is keen on learning and implementing advanced concepts.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and technically focused, but there is no information regarding teamwork, problem-solving approaches, or communication style in a collaborative environment.