Author: Dariu-Admin

Watering flowers and plants is a time-consuming – and repetitive task. So the idea was born to help the gardener by taking the daily manual work off his hands, developing an automated plant watering device.

The central processor consists of a Micro:bit and an additional card connected to sensors for humidity, temperature, light and rain. The second processor – also a Micro:bit – is connected to the pump that controls the whole system.

The first processor measures the humidity in the soil, the temperature, the light and the rain and transmits the signal to the Lora card to automatically turn the pump on and off. When the pump is running, it sends the signal to the other processor to control the watering of the plants in the specified order and duration.

During the rainy season, mosquitos usually increase in numbers and schools are overwhelmed with mosquitoes. Therefore, a team developed an automatic sprayer, which emits chemicals to kill mosquitos.

The sprayers will be placed in classrooms, toilets and anywhere needed to spray the relevant chemicals, steered by a timer. Once the tank of chemical is empty, an alarm will sound, so that it can be re-filled.

In the future, an app shall connect the sprayer also to smartphones.

Bar fires often lead to a high death toll, because of suffocation, as there is no emergency exit.
Our group decided to develop a project called Automatic Emergency System, based on how it works on airplanes; oxygen masks release whenever there is a drop in cabin pressure.

In case of emergency/fire, the system will automatically release custom-designed safety masks (with reflective strips) onto the floor which the people in the room can grab and put them on first, before they find their way out.

In each room, the smoke detectors are connected to the central system. In case of smoke detection, it will set the alarms on, and automatically release all the fire escape ladders, so people find their way out via thee escape ladders and don’t have to jump out of the building, which in many cases lead to deaths or severe casualties.

The detector, installed in cameras in the field, can help to detect diseases of rice by taking images on a regular basis. These pictures will be uploaded onto the cloud services for analysis (using Scratch AI). The taken pictures will be sent to ThinkSpeak to synchronize with the stored data to generate the analysis results.

Once the diseases are detected, the system will provide advice on what chemical shall be used to cure the diseases.

Up to now, the system was able to analyse six samples. Through time, we will be able to add and analyse more and different diseases, not only for rice, but other produce too.

School toilets often has three problems: electricity and water waste and smoke (illegal smoking)
by students. Our group developed a Micro:bit-based project to solve these problems.

The system has two functions:

1. All fans and lamps are connected to motion sensors, and the ventilation and lighting system
   are only switched on when the users move.
2. Cigarette smoke sensors are installed in the restrooms, and as soon as smoke is detected, the alarm goes off and sends an alert to the manager at the same time

Future upgrade: Our team would like to upgrade the water supply with hand sensors so that water only flows when users put their hand to the faucet. At the same time, the water runoff from the sink will be used to irrigate the school garden.

Background: People with disabilities can find it hard to use/control smart devices. Therefore, we chose this topic to help these people to access smart devices more easily.

How the system works:
The program is coded in Python, with face recognition When a user moves their face up-down-left-right… the mouse arrow will move accordingly. Eye blinks are equal to left/right click, closing both eyes means the mouse will glide up/down depending on the nose movement.

“Previously, we just saw a vending machine, but we didn’t know how it works. So we got quite curious and imagined, one day we can build a vending machine on our own” Chan Tran said. Our vending machine uses magnetic cards to scan, record and confirm identity of users (especially at schools). The USP being, that the machine can connect to the parents, so the parents are in control of what the studnts buy at school. That way, they can controle how much money is being spent and what the kids consume.

The farm has a water storage channel, which is used to water the leaves of the plants. When the humidity is below 65%, the drop irrigation system will be activated. The lighting and watering/irrigation systems are controlled via website. The roof works with automatic opening and closing depending on the light, temperature and rain sensors.

There is a push to find medical equipment that may be used to help COVID-19 patients. A team of young students, aged 12-15, in the Mekong River Delta in Vietnam, is working on an initiative to develop a prototype for a low-cost breathing machine. 30 club members have been guided by Dariu’s technical advisors to assemble two different designs, including an open-source blueprint from the Massachusetts Institute of Technology (MIT). Some parts of the ventilator are 3D-printed by the students. There are groups of university lecturers, students, and researchers trying to develop the prototype in Vietnam. However, these are the youngest kids being on a life-saving mission.

The idea is to develop an environmental friendly and floatable house that is adaptable to seasonal floodings in the Mekong River Delta. The house is made of bamboo and equipped with smart technology. Micro:bit is used as the central controlling system to connect and control other external sensors, such as lighting, humidity and proximity, and motor servo. The humidity sensor is used to transfer a signal to the Micro:bit to operate the house with up and down lifting; the light sensor for auto-lighting; the motor servo for opening/closing the main doors.