In Vietnam, the visually impaired and elderly face significant mobility challenges due to limited support. As of World Sight Day 2024, approximately 2 million Vietnamese are blind or have low vision, many of whom cannot afford treatment. These individuals often struggle to identify directions and obstacles, making them vulnerable to accidents, especially at intersections with traffic lights.This project aims to develop a device that acts as an extra “eye” for the visually impaired and elderly, improving their safety and integration into society.

The device uses an Arduino board as its main processor. It receives signals from various sensors to perform basic functions:

• A distance sensor detects obstacles and alerts the user with audio or vibration signals. It activates a vibration motor and speaker when an object is too close, warning the user of potential danger.
• A color sensor recognizes traffic light colors and provides spoken instructions. This feature helps the device distinguish between red and green lights, providing critical guidance in an audible way.
• A tilt sensor detects falls and sends an emergency alert to a designated contact.

These core features work together to provide a comprehensive navigation system. Users receive real-time feedback on their surroundings through audible alerts, vibrations, and potential future integration with GPS for location tracking. Health monitoring features such as heart rate and SPO2 sensors may also be integrated in the future.

In Tra On District, Vinh Long Province, inland saline intrusion is a pressing problem during the dry season. This problem is caused by sea level rise, tidal changes, drought, and changes in upstream water flow. These factors contribute to increased salinity levels in the region’s rice, fruit, and vegetable growing areas, resulting in significant crop losses. To address this challenge, a project called “Automatic Gate for Agriculture” was developed by two students.

The system works by controlling the opening and closing of a sluice gate using a set of sensors.These sensors include a Total Dissolved Solids (TDS) sensor to monitor salinity and ultrasonic sensors to track water levels inside and outside the gate. Real-time data is collected and processed by the ESP32 microcontroller, the system’s central processor. This microcontroller analyzes the data and triggers actions based on predefined settings. The system is powered by solar panels and a backup battery to ensure continuous operation.

The system responds to certain inputs as follows:

• Salt water intrusion: When salinity levels rise, the gate automatically closes to prevent salt water intrusion. The pumps remain inactive during this time.
• Water level management:
  • Low water level: The system monitors the external water level. Depending on the conditions, the gate opens or closes as needed. If necessary, pump 2 is activated to suck in water.
  • High water level: If the external water level is too high, Pump 1 is activated to remove excess water, or alternatively, the gate opens to allow water to flow out, depending on the situation.

This setup effectively manages water levels and salinity to protect agricultural lands from saltwater intrusion and water shortages during the dry season.

Two students from Le Quy Don Specialized High School (Quang Tri) designed virtual reality (VR) software to provide a new and engaging learning experience.

Traditional methods often lack the visual appeal and interactive elements that resonate with young learners. In addition, some schools lack the resources to set up well-equipped laboratories or conduct certain experiments due to cost constraints. e-Lab steps in to fill this gap.

e-Lab simulates labs and classrooms for various subjects in a 3D environment and VR technology. Users can move, observe, manipulate and experiment with realistic experiences that represent elements that cannot be observed in the real world. e-Lab is built with outstanding features:

• Observe and interact with invisible quantities (force vectors, types of substances, etc.).
• Interact with objects at the cellular, molecular, and atomic levels
• Perform dangerous experiments or recreate objects that cannot be reproduced under normal classroom conditions
• Integrate an artificial intelligence virtual tutor to deliver lectures and answer students’ questions by voiceWhen users put on the glasses, they are transported to a virtual laboratory. In this virtual lab, chemical experiments, physical phenomena, or biological phenomena inside cells can be demonstrated.

Students in Hau Giang Province have developed a smart dryer for tea leaves and other medicinal herbs,
that is controlled by a smartphone and integrates IoT technology.

Responding to the growing demand for natural remedies, this project aims to:

• Empower individuals: The compact design allows for home and personal use, making it accessible to a wider audience.
• Improve control: Users can monitor and manage the drying process remotely via their smartphone.
• Improve efficiency: The automated system saves labour and simplifies the drying process.
  The model included a wood and foam drying house, a Yolobit circuit, signal cables, a DTH20 sensor for temperature and humidity, a fan, a pump, LED lights, an LCD screen, a servo motor for the door and a fire alarm system. This intelligent dryer facilitates the remote control and management of electrical appliances, especially when users are not at home, offering labour-saving benefits and a modern dryinand a modern drying experience.

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.

Our town often faces the risk of severe flooding, with water suddenly pouring down from the
stream, causing substantial damage to homes, disrupting electricity and water supply. Therefore,
we developed the floating house to solve those problems.

How does it work?

The house can float on the water when the flood happens, by using water level
sensors. The rain is also collected into the storage for daily use, especially during the flooding days.
Furthermore, the house has a garden to grow vegetables, controlled by automatic watering systems and uses solar panels for electricity supply. By using IoT technology, it can all be controlled remotely.

Nowadays, children and young people spend a lot of time on smart devices, leading to severe kyphosis (an exaggerated, forward rounding of the upper back). Our team developed a smart wearable to protect children from kyphosis and school violence, abuse and bullying.

How does it work? Wearing the device, it will send an alarm sound if they are in a setting lacking of light. Or when they bend the back to a certain level, it will also send an alarm.

At the same time, the device works as an SOS button: If a student gets into a dangerous situation, they can press the SOS button abd the speaker will make a loud noise. In case the user cannot press the button, we used a sensor processed by a micro:bit to predict the gestures to identify it as a dangerous situation.

And last but not least, this device also works as a GPS locator so that the parent can manage their children.

It has been proven that drones are being used more and more frequently in rescue operations and are becoming increasingly helpful and effective. For example, when a fire breaks out in a residential building located in narrow alleyways in cities.
A drone can help transport fire extinguishing balls, masks or other equipment to support rescue operations. During firefighting operations, the drone is also used to identify people in need of help in areas that are difficult to access, rooms or tall residential buildings or in smoky areas.

The camera streams live images to the control screen, allowing the rescue team to create different and effective plans for rescue operations. The drone is designed to carry two fireballs at a time. It uses camera and heat sensors to detect fire, and the user can control the dropping of the fireballs.

The drone can also be used for other rescue missions; for example, to transport water, food, milk or other supplies to assist rescue teams.

The system uses a sensor to measure air quality. Once gas/CO2 is detected, it sends a signal to a relay, to turn on a speaker, which then warns the people in the room with a loud noise.