Overview

This project utilizes a smartphone camera and machine learning techniques to analyze and characterize chemical compounds. It has been published in: Dang, K.P.T., Nguyen, T.T.G., Cao, T.D., Le, V.D., Dang, C.H., Duy, N.P.H., Phuong, P.T.T., Chi, T.T.K., & Nguyen, T.D. (2024). Biogenic fabrication of a gold nanoparticle sensor for detection of Fe³⁺ ions using a smartphone and machine learning. RSC Advances, 14(29), 20466-20478.

Installation

Install this Python package via the GitHub repository:

pip install git+https://github.com/riverxdata/smartsensor.git@main

Ampicillin Kit

Download the dataset: Dataset Link

data
├── ampicilline
│   ├── ip_1
│       ├── raw_data
│           ├── 10-1_batch1.jpg
│           ├── 10-1_batch2.jpg
│           ├── 10-1_batch3.jpg
│           ├── 10-2_batch1.jpg
│           ├── 10-2_batch2.jpg
│           ├── 10-2_batch3.jpg
│           ├── 10-3_batch1.jpg
│           ├── 10-3_batch2.jpg
│           ├── 10-3_batch3.jpg
│       ├── information.csv
│   ├── ip_2

# Extract to get features
make process_image
# Modeling
make modeling

Repository: smartsensor