Cloud and IoT Based Health Monitoring System Project

Objective

Our system is useful for monitoring the health system of every person by easily attaching the device and recording it.

We can analyze patients’ conditions through their past data, IoT sensors are being utilized to consistently record and monitor health conditions and transmit alerts in the event that any uncommon signs are found.

If there should be an occurrence of a minor issue, the IoT application additionally has the arrangement to recommend a medicine to the patients.

Introduction

This project is the solution to be able to make use of IoT sensors and actuators to be able to detect issues with subscribed patients remotely to be to monitor health, emergencies, statistics, etc, This makes use of Cloud, Machine learning, IoT platforms, and devices.

The results can be recorded using Arduino.

The doctors can see those results on an application. The system will also generate an alert notification which will be sent to the doctor.

Literature Survey

  • Smart Health Monitoring Systems: An Overview of Design and Modeling
  • Cloud-Based Privacy-Preserving Remote Monitoring and Surveillance
  • A Review of Machine Learning and IoT

Architecture Design

The Flow diagram for Cloud and IoT based Emergency response system follows Sensing, Processing Unit, Cloud Server and Analysis.

Hardware  and Software Requirements:

Arduino: 

IoT Sensors: The main purpose of sensors is to collect data from the patient’s body and from the surrounding environment. 

Cloud: These cloud computing platforms are used to store the data and perform some analysis on the data which is stored on the cloud.

Product Perspective

User Classes and Characteristics

The main objective is to design this System with two-way communication i.e. not only the patient’s data will be sent to the doctor through SMS and email in emergencies, but also the doctor can send required suggestions to the patient or guardians through SMS or Call or Emails.

The user base for this application involves patients and old age people.

Assumptions and Dependencies

Appreciable accuracy in IoT sensors to fetch accurate data. 

Reliable internet connections. 

User Interfaces

Front-end:

  • Web application
  • IoT sensors

Back-End:

  • Open Source IoT platform

Functional requirements

  • Sensors frequently detect data from patients.
  • Collected information is updated in the cloud.

Performance Requirement

The data analysis and communication (response) between the user device and subscribed user must be quick.

Conclusion

The primary purpose of a  health monitoring system is to allow people to lead independent and active lives in their familiar home environment while ensuring continuous, non-invasive, non-intrusive, and seamless surveillance of their health and physical well-being. Continuous monitoring of health status can provide comprehensive information about individuals’ health status over a period of time.

Download the complete project Code & paper Presentation of Cloud and IoT Based Health Monitoring System Project.

 

Design & Development of Smart Dustbin Project

Objective:

The Smart Dustbin Project comes under the domain of Environment, Health, and Hygiene. Through this Smart Dustbin project, we aimed to build a working prototype of a dustbin whose lid opens automatically, without any contact when a person comes near it (in the range of 2 – 30 centimeters) to throw the trash. Since the process is contactless it maintains public hygiene and sanitation. Moreover, there are many instances in public places where the dustbins overflow because of irregularity in the waste collection from the dustbin (which is usually done by the municipality sanitation workers).

To overcome this issue, our next target was to provide functionality such that when the dustbin is full, it will not open at all if the person comes near it to throw the trash. Now, a sanitation worker will need to open the bin to empty the contents irrespective of whether it is full. Therefore, to unload the bin in case it is full we provided a switch that when pressed will open the lid in any case. And in this case, the lid will continue to remain open until there is an object (hand) in front of the ultrasonic sensor in the predefined range.

This Smart Dustbin product can be useful in all the places where the dustbin is frequently used and minimal or no contact is expected from the user. For example, doctors can use this in an operation theatre, flight attendants can use it while serving food, it can also be used in public toilets, etc. In countries like India, where waste management is a crucial problem, it is important to work further on such products that provide methods to collect the garbage along with maintaining proper hygiene as well as contributing to the environment.

Outcomes:

Using a microcontroller-based system, we achieved the 3 functionalities at the end of this project that we had aimed for.

1. First, we were able to open the dustbin without any contact using the ultrasonic sensor (the side sensor). It is programmed to detect motion in the range of 2 – 30 centimeters in front of it and this will open the lid.

2. The second functionality is that when the dustbin is full (it reaches a level defined in the code), it will not open even if there is movement in front of the side sensor. This functionality is helpful to resolve the issue of the overloaded dustbins which are often seen in public places all around India. The level of the garbage inside the dustbin is sensed using another ultrasonic sensor (the top sensor).

3. Finally, the last functionality is to be able to unload the dustbin when it is full. This functionality is needed because when the garbage in the dustbin reaches a particular level, after that it can not be opened even with the motion in front of the side sensor (because of the second functionality). Therefore, in this case, to unload the dustbin for reusing we added a pushbutton in our circuit.

Components Used:

  • ARDUINO – UNO
  • 2 HC-SR04 Ultrasonic Sensors – One on the cylindrical surface (Side Sensor) and the other on the lid (Top Sensor)
  • Mini/Micro Servo Motor (9 gms)
  • 4-pin push button
  • Resistor
  • 9-volt power supply
  • Jumper wires
  • Breadboard code:

Visit Here to Download the Complete Smart Dustbin project code, report, Output Video Link, and any academic project help from the project developer.

Smart Traffic Light Control System Embedded Systems Project

Abstract

Considering the heavy traffic congestion on daily basis sometimes emergency vehicles like ambulances get stuck in the congestion which complicates the situation. Normal traffic lights are not able to operate according to the requirement of emergency vehicles. So, our project aims to make them operate keeping the track of the emergency.

Design/Algorithm

We are operating the traffic light based on the interruption given by the emergency vehicle. So when it gets interrupted by an ambulance it turns off all the traffic signals apart from the one on which the ambulance is coming.
Proposed- In the Smart Traffic Light Control System project IR transmitter is being used which will transmit the code and the receiver will detect it then the microcontroller(Arduino) will get an interrupt and it will stop the normal functioning of the traffic signal and free the path of the ambulance by making the light green.
CCN components to be applied-
Source encoding and Decoding and error detection like checksum and parity Checker.

Design Schematic/Flow Diagram/Block Diagram

Components Used (S/w, H/w)

Hardware components:

• IR module
• Arduino
• Breadboard
• LEDs, Resistors
• Jumper and connecting wires

Software Used:

• Arduino(IDE)

Cost Estimation:

Around 250 if we use a general microcontroller instead of Arduino.

Work Done

Whenever there is no emergency vehicle like an ambulance, the traffic system will work as usual but when the vehicle comes it will turn on the green light (according to the program) so the ambulance will not have to wait.
For making it foolproof, source encoding and error detection are done by assigning a specific code to the ambulance.

Working Constraints

  • The traffic congestion needs to happen for deploying this technique.
  • Only aiming at VIP/Ambulance vehicles.
  • Works using IR so restricted to a particular radius.
  • Only applicable to Tier-1 cities with traffic lights already installed.

Future Scope of Project

  • In the future, this project can be implemented for every vehicle irrespective of the priority.
  • IR can be replaced by GPS modules to increase the effectiveness and span of the connection.
  • It can be used as a tracking device by the company to seek their employee’s current positions, like pizza delivery or e-kart suppliers, etc.
  • By using the tracking sensor we can implement our traffic cloud system to help users to navigate through the less clumsy path.