The vital signs play an important role in the daily routine of medical check-up in the hospital. The basic routine is called vital signs check with consists of 5 main elements which are body temperature, pulse rate, respiration rate, blood pressure and pain score. Usually, these vital sign readings are recorded by nurses or carers. They will do the routine check daily depend on the criticality of patient’s condition that needs to be monitored. The more critical, the more frequent reading is recorded. Typically, the nurses must record the vital sign reading for each patient once for 4 – 6 hours.

Nurses are divided into a cubicle, where the ratio of nurses and patients sometimes reaching a value of 1:10 or even 1:20. Make thing worst, the nurses are working in shift. During a changing of the shift, it is very important the documents are kept and pass to the next nurses on duty. If the information or documents were interpreted wrongly, normally case such medication error could happen. Because of this, the project aims to develop a vital sign monitoring system based on IoT, The objective is to reduce the nurse’s load of work besides helping in improving the efficiency of measuring the vital signs reading.

This system consists of wearable devices, FAVORIOT platform, mobile apps or website as shown in Figure 2. The wearable device is attached to the sensor to measures three type of vital signs which are pulse rate, body temperature, and respiration rate. Arduino UNO is selected as the microcontroller. Each patient must wear this wearable device, which is really comfortable and convenient where the patient can move freely around in the hospital rather than just lying on his or her bed. This will release some tension to the patient being warded in the hospital for a long period of time and reduce the possibility of high blood pressure to occur. The wearable device can also be used on children, which they can play around in the hospital at the same time can be monitored.

The vital sign readings will be pushed to the FAVORIOT platform. In order to allow this, ESP 8266 (Wifi shield) will be used to establish a connection to the Internet. The collected data at the FAVORIOT will be viewed on a developed website and mobile apps. In any emergency cases such as patients may suddenly lose their pulse, breathing rate and temperature rises, the system will alert and notify the nurses as soon as possible

[NOTE: This project is being done by UTHM, our FAVORIOT’s University’s collaborator. Name: Nor Izzudin Bin Nor Ariffin and Supervisor: Dr. Ansar bin Jamil]

In Malaysia, the flood is one of the frequent disasters that occurred in the monsoon season especially at the end of each year. The flood monitoring and detection system are important to minimize flood damage costs because the cost of damaged caused by the floods is correlated closely with the period of warning given before the flood event occurred. Because of this, the purpose of this project is to design and develop a flood monitoring and detection system using the Internet of Thing (IoT).

The main objective of the proposed system is to provide information on the current water level in the particular area, such as river and drain. When, the water level increase beyond the critical level, the system sends the alert notification to the user. The system will give alert for three-level that are Standby level (Green LED), Evacuate level (Yellow LED) and Danger level (Red LED). The system consists of an ultrasonic sensor, Arduino UNO as the system microcontroller, WiFi or GSM module, and FAVORIOT platform.  WiFi module is used to established connection to the internet. The WEMOS-D1R2 must be set and connected to the WiFi. The current water level is pushed to the FAVORIOT platform and can be viewed in a graph. Figure 1 shows the system design of the proposed system with WiFi module. As an alternative, for an area without a WiFi connection, GSM module can be integrated with the system, and the current water level can be sent to the user via SMS.

The design of the system with GSM module is shown in Figure 2.

[NOTE: This project is being done by UTHM, our FAVORIOT’s University’s collaborator. Article was written by Muhamad Nabil Asyraf Bin Ghazali and Supervisor: Dr. Ansar bin Jamil]

Gas leakage detection at refilling station and storage area was either manual or local detection and monitoring only. should any leakage occur at odd hours where no personnel are around, then it may cause a hazard to people. This project will solve the issue of LPG leakage using relevant sensors for detection and provide IoT for real-time notification using the Favoriot platform.

[Note: This project is being developed by UTeM. Article was written by Mazran Esro]