Technical Projects

Showcasing innovative applications of computer vision, AI, and robotics

Displaying 6 innovative projects spanning computer vision, AI, and robotics

Multiple Person Pose Estimation
Confidential

Multiple Person Pose Estimation for Robot Vision

2023 Geunseong Kim, Vinacts

Developed real-time pose estimation and keypoint tracking system for a confidential South Korean project. Implemented YOLOv5 for pose estimation with socket programming to stream landmark data to TCP server.

Python YOLOv5 Socket Programming OpenCV TCP Server
Object Recognition for Robot Vision
Confidential

Object Recognition for Robot Vision & Unreal Engine

2023 Geunseong Kim, Vinacts

Built real-time object recognition system streaming data to Unreal Engine 5 via TCP server. Implemented YOLOv7 for continuous object tracking in a confidential South Korean robotics project.

Python YOLOv7 Unreal Engine 5 Socket Programming Computer Vision
Face Distance Measurement
Confidential

Face Distance Measurement for AI Digital Human

2023 Geunseong Kim, Vinacts

Developed face distance measurement system for AI digital human greetings feature. Implemented OpenCV-based solution with Flask and TCP server integration for Unreal Engine 5 environment.

Python OpenCV Flask Socket Programming AI Digital Human
Alzheimer's Disease Detection
Healthcare

Alzheimer's Disease Stage Detection Android App

2022 Petar Janicic, KaleidoSoft

Created Android application for Alzheimer's disease stage detection from brain X-ray images. Implemented TensorFlow deep learning model converted to TFLite for mobile deployment.

TensorFlow Android TFLite Deep Learning Medical AI
TestJet AI
AI Testing

TestJet AI - Self-Healing Test Automation

2021-2022 Yameen Ahmad, Cisscom LLC

Developed AI-powered self-healing test automation system for Mazda-USA. Implemented computer vision-based image comparison and OCR testing with Django REST framework and MEVN stack.

Django MEVN Stack Computer Vision OCR Test Automation
SENSO CODER Ventilator
COVID-19 Response

SENSO CODER Ventilator with Robotic Arm

2020 Prof. Rashedul Islam

Led design of cost-efficient sensor-based ventilation system with robotic arm approach for COVID-19 patients. Featured leakage-free oxygen source, programmed stepper motor, and respiratory sensor integration.

Robotics Sensor Integration Stepper Motor Medical Devices COVID-19

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