Smart Vision

Demo Video Link: https://youtu.be/EFACJ6n8zPc

Step-by-Step Guide to Setting Up and Running the Application

1. Clone the Repository

   git clone https://github.com/williyam-m/Flipkart_Grid_6_0.git

2. Create a Virtual Environment

   python -m venv venv

3. Activate the Virtual Environment

   • On Windows:

     venv\Scripts\activate

   • On Linux/macOS:

     source venv/bin/activate

4. Install Required Packages

   pip install -r requirements.txt

5. Run the Application

   python manage.py runserver

Freshness Detector

• Predicts the freshness and identifies the class (type) of fruits and vegetables.
• Utilizes a model I trained using a dataset from Kaggle with MobileNetV2 as the base model in TensorFlow.

Feature Extractor

• Extracts product details such as MRP, EAN, manufacture date, and expiry date using OCR powered by Pytesseract.
• Processes the text to validate the expiry date of the product.

Object Detection

• Counts and highlights products within an image.
• Employs the EfficientDet model from TensorFlow Hub.

Dataset For Freshness Detector

Download the dataset from Kaggle.

• Link : https://www.kaggle.com/datasets/muhriddinmuxiddinov/fruits-and-vegetables-dataset

This dataset contains images of the following fruits and vegetables items:

Fresh fruits- fresh banana, fresh apple, fresh orange, fresh mango and fresh strawberry.

Rotten fruits- rotten banana, rotten apple, rotten orange, rotten mango and rotten strawberry.

Fresh vegetables- fresh potato, fresh cucumber, fresh carrot, fresh tomato and fresh bell pepper.

Rotten vegetables- rotten potato, rotten cucumber, rotten carrot, rotten tomato and rotten bell pepper.

Pre-trained Model / Architecture for Object Detection

• Link : https://tfhub.dev/tensorflow/efficientdet/d0/1

Tesseract OCR Engine for Optical Character Recognition

• Tesseract : https://github.com/tesseract-ocr/tesseract

• Pytesseract : https://pypi.org/project/pytesseract/

References and Resources

• Django Documentation: https://docs.djangoproject.com/
• Python Official Documentation: https://docs.python.org/3/
• Keras : https://keras.io/
• TensorFlow : https://www.tensorflow.org/
• MobileNetV2 : https://keras.io/api/applications/mobilenet/
• OpenCV : https://opencv.org/
• SQLite : https://www.sqlite.org/index.html