SMART Baby Monitor

Baby monitors through the times have maintained a robust and streamlined design since their inception and there hasn’t been much innovation to them apart from material and the addition of a mobile application. But with the introduction of SMART Baby Monitor and the integration Artificial Intelligence there is a better ways to ensure the safety of your baby.The objective of this project is to design and test a smart baby monitoring system that will monitor the temperature and heart rate of the baby through a wearable and send this data to the parent through a mobile application. The smart baby monitor aims to produce a product that could incorporate machine learning into the monitoring system while also being cost effective.

Collegues

Carlos Bermudez:

Computer Engineering major graduating in the Fall of 2022. Currently planning to work at Raytheon Missiles & Defense as a Modeling and Simulations Engineer after graduation.

Austen Dominguez:

Computer Engineer planning to graduate in Fall of 2022. Looking for opportunities afterward to further enhance skill sets learned throughout academic career as well as manage time accordingly for deadlines in big projects.

Luis Pantoja:

Computer Engineering major graduating in the Fall of 2022. Specialized in Artificial intelligence and software Development. Hopes to contnue his work in both Hardware and Software fields.

Aglay Saenz:

Computer Engineering major graduating in the Fall of 2022. Is open to anything hardware related in the future but has developed skills in PCB design throughout Senior Design

Project Description

Many families worry about the safety of their infant and even lose sleep over monitoring the child themselves, especially when the infant was just born. These parents become exhausted and may not be able to take very good care of their child through this exhaustion. Should the infant be in danger of SIDS or any other dangers, they might not be there or recognize their infant is in trouble and need attending to. The Smart Baby Monitor uses a main monitor and a wearable, essentially a two piece system, to gather biometric data of the baby and detect the face of the infant. The system is split in two between the main microprocessor and the Wearable printed circuit board (PCB). The main microprocessor, Raspberry Pi 4 Model B, can handle any heavy duty jobs that we require of it and is able to transmit that data with ease to the mobile application. The main microprocessor will also handle humidity readings as well as the camera function to process the images of the area and the infant in the vicinity. The Wearable PCB aims to be compact to fit on an infant and will include a temperature sensor and a heart rate sensor, along with a Wifi module to be able to transmit the sensor data. Each of the sensors will gather their respective data and send it from the selected module, the ESPRESSIF ESP32-WROOM-32E complete with built-in antenna for data transmission, and be pushed to the mobile application through Amazon Web Services (AWS) servers. This makes it so that it will be much easier for parents to monitor their child with less stress and more relief, especially at night when the baby is put to sleep. The following sections will cover the details of all the hardware and software components implemented in the Smart Baby Monitor.

Documentation

Initial Project Description
Senior Design I Report
Critical Design Review
Conference Paper
Final Presentation
Senior Design II Report

Videos and Media

Final Presentation
Final Demo

Group 14 would like to thank everyone that was able to support the creation of this project and to the friends and famiies that stood by the team. Speacial Thank You to Dr.Richie and Dr.Wei for serving as guidance for the team's project. This Project was self-sponsored by the group.