A comprehensive industrial automation platform demonstrating integration between machine vision systems, industrial robots, PLCs, and quality control systems for modern manufacturing applications.
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Updated
May 19, 2026 - Python
A comprehensive industrial automation platform demonstrating integration between machine vision systems, industrial robots, PLCs, and quality control systems for modern manufacturing applications.
A comprehensive Simultaneous Localization and Mapping (SLAM) implementation in Python with advanced ROS 2 integration, PX4 flight control, and containerized deployment capabilities. This project provides a complete SLAM framework with advanced computer vision techniques and integration capabilities for autonomous navigation applications.
A comprehensive collection of common programming questions, solutions, and best practices covering various topics from coding challenges to security concepts.
WACV 2026 RWS Challenge: Building object detectors that maintain consistent performance across seasons, weather patterns, and day-night cycles in thermal imagery.
Detect fraudulent job emails targeting US security clearance holders and job seekers.
This repository is a production-oriented scaffold for a computer vision system that covers dataset collection and annotation planning, YOLOv8 training, multi-object tracking, inference optimization, and FastAPI deployment.
30 years of NOAA-verified flood data for the Charleston, SC metro — interactive map, risk zones, and location decision analysis.
Interactive multi-region web maps for historical tornado risk analysis — compare candidate locations using 30 years of NOAA/SPC data.
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