pskcci/DX-01
Nov 2024 – Dec 2024
2 Months active
Languages Used
MarkdownPython
Technical Skills
Code DeletionCode RefactoringComputer VisionConvolutional Neural Networks (CNNs)Data AnalysisData Cleaning
YoungjunYang
PROFILE
Youngjunyang
Over a two-month period, contributed to the pskcci/DX-01 repository by developing advanced machine learning and computer vision features, including real-time posture tracking using OpenVINO and pose estimation to monitor ergonomic risks. Built a factory automation system with Python, integrating LED control and dual-camera motion detection for automated visual monitoring. Enhanced repository maintainability through comprehensive documentation updates and onboarding materials, while also streamlining legacy code and educational scripts on image processing with NumPy and OpenCV. Demonstrated expertise in deep learning, embedded systems, and modular design, establishing MVP-level pipelines for ergonomic monitoring and automation ready for pilot evaluation and rapid iteration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
27Total
Bugs
0
Commits
27
Features
6
Lines of code
5,075
Activity Months2
Your Network
1142 peopleShared Repositories
11
Work History
December 2024
8 Commits • 2 Features
Dec 1, 2024Month: 2024-12 — pskcci/DX-01: Key features delivered and business value realized. - Real-time Posture Tracking System (OpenVINO): Real-time pose estimation detects posture issues (turtle neck, twisted legs) with metrics on neck, waist, and wrists; includes architecture and goals in documentation to support ergonomic risk monitoring and proactive interventions. - Factory Automation System: LED control (LED.py) and dual-camera motion detection (factory.py) with live and cropped feeds; integrated with FactoryController to support automated visual monitoring and process control. - Documentation and onboarding: Updated README and architecture/goals docs to improve maintainability and accelerate future contributions. - Overall impact: Established MVP-level pipelines for ergonomic monitoring and factory automation; improved readiness for pilot evaluation and faster iteration cycles. - Technologies/skills demonstrated: Python, OpenVINO, real-time video processing, multi-camera integration, hardware controls, and comprehensive documentation practices.
8 Commits • 2 Features
Dec 1, 2024Month: 2024-12 — pskcci/DX-01: Key features delivered and business value realized. - Real-time Posture Tracking System (OpenVINO): Real-time pose estimation detects posture issues (turtle neck, twisted legs) with metrics on neck, waist, and wrists; includes architecture and goals in documentation to support ergonomic risk monitoring and proactive interventions. - Factory Automation System: LED control (LED.py) and dual-camera motion detection (factory.py) with live and cropped feeds; integrated with FactoryController to support automated visual monitoring and process control. - Documentation and onboarding: Updated README and architecture/goals docs to improve maintainability and accelerate future contributions. - Overall impact: Established MVP-level pipelines for ergonomic monitoring and factory automation; improved readiness for pilot evaluation and faster iteration cycles. - Technologies/skills demonstrated: Python, OpenVINO, real-time video processing, multi-camera integration, hardware controls, and comprehensive documentation practices.
December 2024
November 2024
19 Commits • 4 Features
Nov 1, 2024Month: 2024-11. Focused on expanding ML/CV capabilities, documenting contributor processes, delivering educational scripts, and cleaning legacy assets to reduce maintenance overhead. The month delivered tangible business value through new ML features, better developer onboarding, and improved repository hygiene.
November 2024
19 Commits • 4 Features
Nov 1, 2024Month: 2024-11. Focused on expanding ML/CV capabilities, documenting contributor processes, delivering educational scripts, and cleaning legacy assets to reduce maintenance overhead. The month delivered tangible business value through new ML features, better developer onboarding, and improved repository hygiene.
Activity
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Quality Metrics
Correctness92.6%
Maintainability92.6%
Architecture91.0%
Performance91.2%
AI Usage21.4%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Code DeletionCode RefactoringComputer VisionConvolutional Neural Networks (CNNs)Data AnalysisData CleaningData ManipulationData PreprocessingData VisualizationDeep LearningDocumentationDocumentation UpdateEmbedded SystemsFactory AutomationFile Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline