Develop technology to make life better

Develop technology to make life better

Here is my technology repo.
Anyone can use my work.
Feel free to use it to help others.

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I. Demo

• Drone Vision
  
  Click the image to watch video clip.
  • Trajectory planning (Drone control using ROS2)
  • Object detection (Customized YOLOv5)
  • Localization (Drone-Visual SLAM in farming)
  • Structure from Motion (Point Cloud Processing)
    developed at hexafarms

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• 3D reconstruction
  
  Click the image to watch video clip.
  developed at hexafarms

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• Data Science
  
  Click the image to watch video clip.
  • Image Segmentation
  • Data Processing
  • Visualization
    developed at hexafarms

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• Image processing
  • Instant Segmentation
  • Image-tabular data combined Classification
  • Time-series analysis for growth
    developed at hexafarms

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• Web application: Sensor and User accounts management
  
  • Full-stack dev
    developed at hexafarms

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• LLM powered web chatbot
  
  • Natural Language Processing, Word Embedding
  • Design Concurrency Functionality
  • Prompt Engineering
    developed at hexafarms

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• MLOPs&HyperParameter Tuning
  
  • Fully Open source-based full MLOps (Version, feature control)
  • Hyper parameter tuning with experiment tracking

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• Time-series Forecast
  
  • Develop domain knowledge-supported custom ML MultiConstrainedLinearRegression
  • Feature Engineering/Imputation (Transformer/GBT-based, statistic, plant science)
  • XAI (Explainable AI) to understand why model performs better or worse
    developed at hexafarms

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II. More Source Codes

1. openHexa
2. MultiConstrainedLinearRegression
3. cvOps
4. CharucoStereoCalibrator
5. Berlin Reservation Bot
6. Compute pixel’s actual dimension
7. YOLO data generator
8. Image classification & mass estimation based on segmentation mask
9. Image cropping for generating training samples
10. Image Segmentation using Graph-cut
11. Wildfire prediction using timeseires data
12. MLflow+HyperOpt+MMOpenLab wraper

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III. Research

1. Deep Learning-Based Semiautomatic Generation of HD maps from Aerial Imagery, Master thesis
   Sharing the source code requires approval of the institute, ika. Contact me if you are interested in the algorithm in detail.
2. Deep Aerial Mapper

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IV. Learning

1. Camera Parameter
2. Point Cloud Library
3. 3D Reconstruction
4. Color and Illumination
5. Feature extraction
6. Plant nutrient deficiency
7. Public Leaf dataset
8. Plant biology
9. ROS2, Udemy
10. Advanced C++, Coursera
11. Data Structure
12. Airflow, Udemy
13. Open3d
14. Elixir, Phoenix

I learn hard and apply the knowledge assiduously. But I still relish chill, too.