Client Overview
- The leading medical hospital channel needs a baby monitoring system based on customized requirements.
Business Challenge
- Challenge is to develop a contact-less baby monitoring system using image processing.
- The system would be able to detect crying behaviour, motion, and position of the baby.
- Need to develop a system that can confirm whether the baby is sleeping or awake.
- The system must be cost-effective and non-harmful.
Solution Architecture
AumRaj Contribution
- Build face detection algorithms using Haar classifier.
- The Raspberry PI3 model B+ used to process the videos.
- Used Pi camera to capture video of the baby.
- Developed algorithms for image processing techniques by Open CV library.
- Selection of sound detection sensor module that is MIC EC0177.
- The firmware development of the system and should be sync-up with image processing algorithms.
- The real-time image processed and appear on the mobile app.
- Automatic in the built testing system to confirm whether the system is working or not.
Benefits Delivered
- The real-time image on the mobile app.
- Notification while baby movement takes place.
- Easy to monitor using the mobile app.
