Aglaonema Detection

Scan system—identify the differences. project-1

About Project

An object detection system developed to identify and classify various types of Aglaonema plants using image recognition technology.
The system is capable of distinguishing between visually similar and non-similar plant categories, including Ruby Garuda, Red Anjamani, Red Kochin, Claudia, and Siam Aurora, as well as non-Aglaonema plants.
This project was developed as a final thesis project as a requirement for graduation.

My Role

Independently developed the system

Features

  • Real-time object detection using camera input
  • Image classification for multiple Aglaonema categories
  • Detection from uploaded images
  • Ability to distinguish similar and non-similar plant types
  • Bounding box detection and labeling of objects
  • Prediction results with classification output

Tech Stack

  • Python
  • TensorFlow
  • OpenCV
  • LabelImg
  • Jupyter Notebook
  • Anaconda Navigator
  • CUDA &cuDNN