#The project is done in three steps 1.first step training the data using CNN and Saving trained model weights in json file and .h5 file. 2.the second step is to load pre-trained weights on raspberry pi and run cnn.py to capture the sound in real time. 3.when the baby cry is detected , then sms alert is send to registered mobile number.
-
Notifications
You must be signed in to change notification settings - Fork 0
lightforks/Development-of-Baby-Monitor-Device-for-Baby-Cry-Detection
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Jupyter Notebook 99.3%
- Python 0.7%