Posts tagged "IoT"

Monitoring Water Leakage System

January 2nd, 2018 Posted by IOT PLATFORM, SMARTCITY 0 thoughts on “Monitoring Water Leakage System”

Internet of Things (IoT) is a global network of smart devices that can be sensed and interacted with the environment using the internet as a platform for the communication and interaction with other users and systems. The main concept behind every IoT technology and its implementation is “Devices are integrated with the virtual world of internet and interact with it by tracking, sensing and monitoring objects and their environment”.  It also can collect and transmit data, actuate devices based on triggers and receive information.

Water is one of the most important substances for people on earth. Nowadays, people demand something that can influence their daily lifestyle, in a good way. Lots of people do not realize the importance of water because water is a limited resource, but useful in industry and agriculture. By using water monitoring system water wastage can be avoided. Since the water leakage cannot be detected automatically, some of the people do not make a fuss about the problem at all. Thus, the bill of water consumption will increase and this system will help to save cost on the bill, by detecting the leakage of the water at certain points in a pipeline.

Most of the people are unaware of the leakage of water which has been occurred in their environment. Therefore water leakage monitoring system is proposed. Water leakage at certain points can be detected by monitoring flow of water in the pipeline by using Water Flow Sensor. In addition, the amount of water that has been wasted due to the unattended water consumption can be reduced. In order to detect water leakage in the pipeline, the pressure of water will be measured by using the water flow sensor. Once the pressure level is detected,  the LCD will display the current water flow rate and the GSM will notify the user about the­­ leakage.

Flowchart

This project is conducted based on the flow chart shown in figure 1. In the first stage, water will go through the water flow sensor and can monitor the water flow by using the Favoriot platform. The LCD will display also the water flow rate.

When the water flow rate more than 10 L/min for a certain time without no one use it to show that the water is leakage. After it detects the leakage occurs at the pipeline, the GSM will notify the user about the leakage.

Figure 1: Flowchart of the monitoring operation

Design Project

The design part of this project, it explained about the process of the monitoring water leakage.

Figure 2: the design project using SketchUp software

Figure 2 shows the concept that will be used in this project. The water from the tank will flow the water to every junction pipeline. And every junction will place the water flow sensor to monitor the flow rate of the water. When the water flow rate increase more than a threshold that was set up, that is mean there is some part is leaking in the pipeline. For monitoring part, Favoriot will monitor the graph of the flow rate water and LCD will show the flow rate value for every second.

[Note: This project is being done by UTHM, our FAVORIOT’s University’s collaborator. Article was written by Mohd Amir Ariff Anuar, FKEE UTHM]

Smart Bracelet for Elderly People: Fall Detection, GPS tracker, ​and Medicine Reminder

December 30th, 2017 Posted by IOT PLATFORM, SMART HEALTH 0 thoughts on “Smart Bracelet for Elderly People: Fall Detection, GPS tracker, ​and Medicine Reminder”

Abstract

The Smart Bracelet for Elderly People is an innovative solution that aims to detect and locate people especially for elderly people with a health problem. It is designed as a remote alert system for people at risk of stroke, sudden heart attack, and seizures. The smart bracelet provides fall detection system, GPS tracker to trace the current location and a medicine reminder setting to remind pill intake on time. This device is synchronized with the FAVORIOT platform which stores GPS data and fall detection indicator.

 

Introduction

The Smart Bracelet for Elderly People is an innovative solution that aims to detect and locate people especially for elderly people with a health problem. It is designed as a remote alert system for people at risk of stroke, sudden heart attack, and seizures. The smart bracelet provides fall detection system, GPS tracker to trace the current location and a medicine reminder setting to remind pill intake on time. This device is synchronized with the FAVORIOT platform which stores GPS data and fall detection indicator.

The bracelet can be used for elderly people staying alone when the child lives elsewhere. The child can monitor the condition of their parent which will avoid worrying feeling at all times. If a bracelet detects any fall that threatens their parent life, the device will automatically send an email or alert message to the child then if the parents do not answer the phone, we’ll know something might happen to them.

Other than this, the smart bracelet has a tracking system that has access to GPS technology. This means that the parent can spend their time outside of their home to do shopping, sport and other. In the case of a parent may be lost and fall outside of their

home, the bracelet can provide accurate location of their parent. Another functionality of the smart bracelet act as medicine reminder to remind elderly people to take their pills; if it is neglected, this service warns the prescribed care provider. It provides an easy-to-use dispenser that helps maintain the appropriate medication schedule. Elderly patients hear audio reminders when it’s time to take their pills.

Design and Implementation

The smart bracelet is designed based on Arduino UNO which is selected as the microcontroller. The Arduino is connected to accelerometer sensor for fall detection. GPS module for location tracking and a real time clock module for medicine reminder. The buzzer is connected to alarm sound when it is time to take the medicine. The block diagram of the systems is as shown in Figure 2.1 below.

Figure 2.1: Block Diagram of system
Figure 2.2: Implemented sensor on the PCB board
Figure 2.3: Prototype testing (without casing)
Figure 2.4: Prototype complete with casing wear on wrist

Result

This section shows the preliminary result from the prototype testing for fall detection, GPS tracker and Medicine Reminder coding.

Figure 3.1: A GPS state the current location
Figure 3.2: Medicine reminder display on LCD and buzzer beeping
Figure 3.3: The accelerometer reading
Figure 3.2: Data stream on Favoriot platform
Figure 3.3: An alert message received

Conclusion

The smart bracelet is able to send an alert message to the children if their parent fall and they can take immediate and necessary action. The medicine reminder reminds the elderly people to consume prescribed medicine. The GPS tracker only and can locate the current location of the elderly people. As human life longer nowadays, we believe that this device becomes important device near the future.

 

[Note: This project is being done by UTHM, our FAVORIOT’s University’s collaborator. Article was written by Siti Nur Hanisah Binti Hamidon, Siti Khadijah Binti Narudin, Siti Norliani Binti Ahmad Basni Supervisor: Dr. Ansar Bin Jamil, FKEE UTHM]

 

You can check out the whole LIST of IOT PROJECTS by our University Collaborators.

15 Malaysian Universities Building the New Generation IoT With FAVORIOT

December 27th, 2017 Posted by IOT PLATFORM 0 thoughts on “15 Malaysian Universities Building the New Generation IoT With FAVORIOT”

In the quest to generate 100K IoT Professionals (or so-called the new Generation-IoT) in the country, FAVORIOT, the latest IoT Startup in Malaysia partnered with 15 Malaysian Universities to review, refresh and include not only IoT elements in the curriculum and syllabus but also introduce a more practical method for the University students to be familiar in IoT middleware and how to create their first IoT application and project.

 

The list of the Universities who joined the program are listed below (the first 10 Universities joined the FAVORIOT-University Program since May 31, 2017):

  1. Universiti Teknologi Malaysia (UTM)
  2. Universiti Tun Hussein Onn Malaysia (UTHM)
  3. Universiti Kuala Lumpur (UniKL)
  4. Universiti Malaysia Sarawak (UNIMAS)
  5. Universiti Sultan Zainal Abidin (UniSZA)
  6. Universiti Tenaga Malaysia (UNITEN)
  7. Universiti Teknikal Malaysia Melaka (UTeM)
  8. Universiti Sains Islam Malaysia (USIM)
  9. Universiti Malaysia Perlis (UniMAP)
  10. Asia Pacific University (APU)
  11. Taylor’s University
  12. Universiti Teknologi Petronas (UTP)
  13. International Islamic University Malaysia (IIUM)
  14. Universiti Utara Malaysia (UUM)
  15. Universiti Teknologi Mara (UiTM)

 

UPDATED (Sept. 22, 2017)

Two more Universities in Malaysia joined the other 15 Malaysian Universities:

  1. Universiti Putra Malaysia (UPM)
  2. Universiti Malaysia Terengganu (UMT)

UPDATED (Dec. 27, 2017)

Only 16 Universities decided to adopt the Favoriot platform. See below Diagram.

It is expected about 450 graduates every year will be utilizing FAVORIOT platform for their Lab experiments, Final Year or Research projects. The program will allow more than 2250 devices to be connected to the platform.

About the Author

Dr. Mazlan Abbas is currently the Co-Founder and CEO of FAVORIOT Sdn Bhd. He is an IOT Evangelist and a Thought Leader. He received an award as 50 Most Impactful Smart Cities Leaders by World CSR 2017. He is ranked Top 10 in IoT Top 100 Influencers by Postscapes 2016/2017, ranked Top 100 in Smart Cities Top Experts by Agilience Authority Index May 2016, No. 20th Thought Leader in IOT by 2014 Onalytics Report – “The Internet of Things – Top 100 Thought Leaders”. He is also a Global Vision Board Member. You can reach him on LinkedIn or Twitter. Check all his presentation slides HERE.

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