Smart parking for future using Open CV and Deep learning AI

Smart parking using Artificial Intelligence (AI)
  1. Get the Rough view of the Parking image and fix parking spot as they are continue to be remains constant.
  2. Generate the Training Data to train the model from parking images for classification of empty and occupied space
  3. Run the pre-trained Model on Training Data and obtain accuracy above 95%
  4. Save best model weights
  5. Predict empty or occupied parking on the given image
  6. Run prediction model on the video
Occupied Parking
Empty Parking
accuracy and loss curve
Final result showing empty and occupied parking spot




Love podcasts or audiobooks? Learn on the go with our new app.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Akshay Bhor Data Scientist

Akshay Bhor Data Scientist

More from Medium

20 Beginner-Friendly Image Datasets to Hone Your Computer Vision Skills

Python-compatible Trending Data Science tools (TensorFlow, PyTorch, and Scikit-Learn)

Emotion Recognition using Convolutional Neural Networks

400 Birds Species Classification