Raqib Is The Companion You Need During Your Hajj & Umrah

Raqib will be one of the first IoT solutions for Hajj and Umrah developed by FAVORIOT, an IoT Startup from Malaysia.

Every year, more than 2.3 Million people will congregate to Mecca and perform their Hajj – most likely for the first time in their life. It’s expected during the 4-5 days of the peak period, pilgrims will travel from Mina to Arafah to Mudzalifah and Mina again, the place will be packed with almost 6 people per square kilometer.

In 2015 stampede tragedy, at least 1,621 people killed, as hundreds still reportedly remain missing. Iran says it had 465 pilgrims killed, while Egypt lost 182, Nigeria 168 and Indonesia 126. Others include India with 114, Pakistan with 100, Bangladesh with 92, Mali with 70, Senegal with 54, Benin with 51, Cameroon with 42, Morocco with 33, Ethiopia with 31, Sudan with 30, Algeria with 25, Ghana with 12, Chad with 11, Kenya with eight and Turkey with seven. Without proper identification, it’s very difficult to identify the victims.

For the first newcomer, this is a foreign place which can look very confusing with white tents all over the place and people wearing white robes for men and covered women. The Hajj authorities and Travel Agencies really had a hard time monitoring their own Jemaah.

There are two groups of lost people. The first consists of pilgrims that are lost temporarily and soon they find their families or go back to their own tour group. The second type consists of pilgrims that unable to return to their families because no one has come forward to search for them and these are handled by the police who take the necessary action.

Most people generally get lost between Asar and Isha prayers. About 40% of the total numbers of people lost are children. 35% are women and 25% are elderly people. Women easily get lost when they end up splitting up from their husbands or male relatives when going to pray in the women sections of the Grand Mosque. There are other factors such as overcrowding inside the Holy Mosque. Women generally get lost because stewards move them away from male prayer areas on to places designated for women. These women get separated from their families and end up losing their way .

Not many people that come from abroad are familiar with the Grand Mosque. Most cases that occur in the Grand Mosque tend to happen on the ground floor level. Very few people get lost outside in the courtyards. [Quoted from Arab News]

Raqib is the latest service from FAVORIOT to solve the problems pilgrims going to Mecca to perform their Hajj and Umrah. Problems such as missing pilgrims due to loss of direction in foreign places, people from all around the world with the danger of disease outbreaks, the complexity of managing a huge number of pilgrims, and the situation whereby cause anxiety to family members back home. Thus, Raqib provides a wearable device for pilgrims that can be monitored through mobile apps by their family members or through Pilgrim Monitoring System for the Hajj authorities or travel agencies

For further information, please contact info@favoriot.com

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Sending Multiple Data From RobotDyn Uno+WiFi to FAVORIOT

Another video from my Indonesian friend, Lintang Wisesa using RobotDyn Uno and FAVORIOT.

A simple IoT test, uploading multiple data sensors: DHT22 (temperature & humidity) & MQ-2 (gas sensor) from RobotDyn Uno+WiFi to Favoriot (click http://favoriot.com). Favoriot is an IoT platform by Dr. Mazlan Abbas from Malaysia, developed to helps developers in integrating sensors & actuators on the internet, collecting & storing data from IoT devices, also building vertical applications without worry about the hosting.

You can see the original article here.



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Internet of Things (IoT) – Technical Regulatory Aspects & Key Challenges

You can download the full PDF Version HERE.

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[Video] – How Favorwatch App Works

Here’s a video that shows step-by-step how to use our Ezy-1 Favorwatch that works together with the Favorwatch Mobile App (iOS version)

 

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LabVIEW with FAVORIOT

Recently, Nur Hamiza from VISITAS posted this video on her LinkedIn.

See how LabVIEW data is sent and plot onto Favoriot.  LabVIEW – is a system-design platform and development environment for a visual programming language from National Instruments. Favoriot – is a platform that is developed to support the integration of data from sensors and actuators on the internet. (Video courtesy of Nur Hamiza, VISITAS)

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Automatic Electromagnetic Radiation Level Detection and Monitoring System

 In some cities, mobile phone Base Transceiver Stations (BTSs) are found almost at every 500 m interval, and in other cities where there is no restriction on the location of the towers, more than 30 cell towers can be seen within 1 km. Since more users are emerging every day, the proliferation of mobile Base Transceiver Station (BTS) or mast is of great concern. The radiation emitted from the numerous antennas mounted on the mast of the cell are also of great concerns to the populace, especially people who live close to them.

Therefore, it is compulsory to extract the value of Electric (E) -field (volts/meter) from the individual frequency components of the GSM bands such as 0.9 GHz, 1.8 GHz and 2.1 GHz to be compared with ICNIRP level. Therefore, the main interest for this project is to measure the mobile signal from the base stations, which are mostly close to the residential area covering the GSM bands of 0.9 GHz, 1.8 GHz, and 2.1 GHz.

Currently, the radiated emissions from the GSM tower are detected by the spectrum analyzer which mobile frequency band network systems. However, the spectrum analyzer does not have any provision to broadcast or transmit any information obtained in the field over the internet. In addition, the data measured by spectrum analyzer is offline and not a real time results. It is difficult to give a real picture of the electromagnetic (EM) radiation level in the intended environment. Electromagnetic radiation should not exceed the radiation limit proposed by ICNIRP.

Therefore, this maximum allowable E-field limit has to be followed for human safety. Electromagnetic radiation readings below the radiation limit indicate that the radiations in that specific area are within the safety levels. Therefore, an automatic system capable of measuring the electric (E) fields at the mobile phone frequencies (0.9 GHz, 1.8 GHz, and 2.1 GHz) is designed as shown in Figure 1. These E-field data will then be “pushed” into the internet for continuous monitoring (24 hours a day). The designed unit acted as receiver / EM mobile sensor, consist of an antenna and detector that can produce an accurate DC voltage and eventually convert it into electric (E) field with calculated antenna factor (AF).

Figure 1: Overall system layout

A radiation detector complete system as shown in Figure 2. It consists of receiver sensor (antenna), 3V circuit, WIFI shield, and microcontroller. The rectangular patch antenna is the receiver to receive a signal from the base transceiver station. The microcontroller received the input voltage from the detector and convert it to E-field value. In addition, WIFI shield is the medium hub to connect the Arduino to Favoriot Platform through Internet. The extracted E field information would be plotted for each frequency in the FavorIoT Platform. As a result, the user can access the data via any internet enabled devices. The complete system will be placed in the proposed packaging as shown in Figure 3.

Figure 2: Measurement setup

Figure 3: Proposed packaging for the complete system

The new system has been calibrated and compared with an existing system in the market. Figure 4 shows the comparison between the existing system (using spectrum analyzer and horn antenna) and our product. Based on the results, the E field strength values show a good agreement as the percentage of deviation is quite small which is an average of 2%. The uncertainty of the measurement is ±4.6478 dB. Therefore, E field values for 0.9 GHz, 1.8 GHz, and 2.1 GHz are valid for the measurement as the maximum deviation is 2.4 dB, which is still in the range of the uncertainty. Therefore, the fabricated rectangular patch antenna can be used to detect mobile electromagnetic radiation accurately.

Figure 4: Comparison measurement using a new system and existing system in the market

The E field strength was calculated and the real-time data measurement was stored and displayed in the Favoriot platform. Figure 5 shows the E field strength data for operating frequencies of 0.9 GHz, 1.8 GHz, and 2.1 GHz. 121.28 dBuV/m is the maximum radiation reading shown in Figure 5. The reading does not exceed the radiation limit proposed by ICNIRF level, which is 155 dBuV/m. The result and data can be accessed by the end user using through Favoriot Platform.

Figure 5: E field strength graph display in Favoriot

The Author is Puteri Alifah Ilyana Nor Rahim and Supervisor is Syarfa Zahirah Sapuan from UTHM, our FAVORIOT-University collaborator.

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