Author: Dariu-Admin

In response to declining air quality caused by environmental pollution and climate change—particularly the dry conditions created by air conditioner use—a talented student from Long Tri A Secondary School has developed an innovative automatic mist humidifier. This groundbreaking project maintains optimal humidity levels, reduces temperature, protects health, and conserves energy while addressing the limitations of traditional humidification methods in agriculture, especially within greenhouse environments.

HOW DOES IT WORK

The automatic mist humidifier system combines advanced components to efficiently monitor and regulate environmental conditions through four key processes:

Data Collection
DHT11/DHT22 sensors continuously measure temperature and humidity, transmitting real-time data to the control unit for immediate analysis.

Signal Processing
The central control circuit (Arduino/ESP32) analyzes sensor data and compares it against pre-configured thresholds to determine necessary adjustments.

Automated Adjustment
When humidity drops below the set threshold, the system activates the ultrasonic mist humidifier to increase moisture levels. If temperature exceeds the allowed limit, the TEC-12706 Peltier cooler activates to cool the air. Once desired levels are achieved, the system automatically shuts off to conserve energy and water.

Continuous Operation
This process repeats continuously, ensuring a stable and optimal environment at all times.
The system shows excellent potential for future enhancements, including integration with mobile applications for remote monitoring and adjustment, as well as incorporating self-learning algorithms to optimize operating parameters over time.

Large-scale laundry facilities currently rely on a manual fabric color sorting process that is time-consuming and costly. This method also exposes workers to potential health hazards from contaminants on clothing. In addition, there is a need for an automated solution to help individuals with visual impairments or other disabilities quickly classify fabric colors. This project proposes and develops an automated “Fabric Color Sorting System” to address these issues by accurately identifying and separating white fabrics from colored fabrics.

HOW DOES IT WORK

The system provides precise identification and separation of white and colored fabrics. This innovative solution integrates several advanced components mounted on a lightweight aluminum frame.

• Keyence color sensors
• Photoelectric sensors
• Robotic cylinders
• Vacuum suction systems
• Mitsubishi PLC control
• Intuitive HMI touch interface

The system can process six samples (two white, four colored) in 55 seconds, automatically sorting them into designated bins. This automation reduces labor costs, increases operational efficiency, and improves worker safety by minimizing contact with contaminated materials. The system also creates a more inclusive environment by increasing accessibility for people with visual impairments.

This solution modernizes laundry operations and creates safer, more inclusive working environments

Falls and navigation challenges pose significant risks for elderly and visually impaired individuals, often leading to serious injuries according to the World Health Organization. While assistive devices exist, many lack the flexibility needed for daily use.

Our “Smart Assistive Devices for Elderly Care” project addresses these challenges through two innovative devices that provide fall detection with immediate alerts and intelligent navigation support.

HOW DOES IT WORK

Wrist-Worn Navigation Aid

This device uses laser sensors to detect obstacles and alerts users with beeps when objects are too close. An advanced mode identifies obstacles in three directions (front, left, right) and provides clear voice instructions like “go straight” or “turn left” for safe navigation.

Back-Worn Fall & Health Monitor

Using accelerometer technology, this device continuously monitors body positioning and detects falls through rapid angle changes. When a fall occurs, it triggers a loud alarm and immediately sends SMS alerts to pre-registered family members. The device also monitors heart rate and displays all real-time information on an OLED screen.

In disaster-prone Vietnam, where natural calamities like heavy rains, flash floods, and landslides cause devastating loss of life and property, a team of innovative students has developed a Multi-Functional Rescue Robot. This state-of-the-art solution aims to revolutionize search and rescue operations by improving efficiency, reducing response time, and minimizing risks to rescue personnel in hazardous environments1.

The Rescue Robot is equipped with advanced technologies to perform critical search and rescue functions in challenging conditions. It operates remotely, allowing rescue teams to gather real-time information and respond effectively while maintaining a safe distance.

HOW DOES IT WORK

Key Features and Functions:

Navigation & Detection

• Omnidirectional wheel system for smooth navigation in complex terrain
• Infrared sensors and head tracking camera for victim detection in low visibility conditions
• Robotic arm for clearing debris, delivering supplies, or retrieving small objects

Intelligent Communication & Control

• Two-way audio and video communication system
• Remote control using Arduino Mega 2560 microcontroller
• Environmental sensors for monitoring temperature, gas levels, and structural stability

Durability and Adaptability

• All-terrain capability for operation in extreme environments
• Weather-resistant design to withstand harsh conditions

This innovative project demonstrates the potential of technology to enhance disaster response and save lives in challenging situations

Inspired by their family’s struggle with low rice seed germination, a group of students in Hau Giang Province developed the Rice Guardian to address the dual challenges of manual handling and increasing saltwater intrusion in rice cultivation. This innovative IoT device is designed to monitor and automate critical stages of rice cultivation, ensuring optimal growth and maximizing yield.

HOW DOES IT WORK

The Rice Guardian utilizes advanced sensors and IoT technology to create an optimal environment for rice cultivation:Key Components:

1. Hardware
   • Wemos EsP8266 D1 mini board
   • Industrial nutrient concentration sensor
   • Industrial pH sensor
   • DS18B20 temperature sensor
   • SHT30 humidity and temperature sensor
   • Salinity sensor
   • Solar energy panel and battery

Main Functions:

1. Perfect Seed Soaking
   • DS18B20 sensors track water temperature for optimal seed soaking
   • SHT30 sensors monitor temperature and humidity
   • Automated misting system maintains ideal germination conditions
2. Nutrient-Rich Soil Management
   • Industrial-grade sensors monitor NPK, pH, and TDS levels
   • Provides real-time insights for targeted fertilization
3. Salinity Defense
   • Instant alerts for salinity intrusion
   • Automatic activation of pumps or salt barriers to protect crops

The Rice Guardian represents a significant advancement in precision agriculture for rice cultivation. By combining automation, real-time monitoring, and environmental control, it offers a powerful tool for farmers to improve rice production efficiency and combat environmental challenges such as saltwater intrusion.

The GreenField Guardian is an intelligent agricultural model designed for safe and efficient pesticide application and soil preparation. With many crops located near residential areas, this device helps reduce the risk of chemical exposure to people and the environment. It minimizes pesticide use, improves spray accuracy, and reduces costs for farmers by making crop care more effective.

HOW DOES IT WORK

The GreenField Guardian utilizes advanced technologies for precise and environmentally friendly agricultural operations:Key Functions:

1. Pesticide Application
   • Integrated pump generates pressure for the pesticide solution
   • Fine misting through the nozzle ensures even coverage and minimal waste
2. Soil Cultivation
   • Motor-driven tilling blades loosen the soil
   • Improved soil aeration for more efficient nutrient absorption by plants
3. Control and Monitoring
   • Operation via control panel or mobile app
   • Remote monitoring of device status, start/stop of spraying function, and adjustment of cultivation depth

FUTURE DEVELOPMENTS

The development team plans the following improvements:

• Integration of artificial intelligence (AI) and camera technology for automatic detection of plant diseases and treatment suggestions
• Increased mobility by adding track drive for rough terrain
• Incorporation of renewable energy sources for greater environmental friendliness

The GreenField Guardian represents a significant advancement in precision agriculture, enhancing efficiency while reducing environmental impact.

This innovative project aims to develop an intelligent insect breeding system that leverages advanced technology to optimize the breeding process of rare insect species. By automating environmental controls, monitoring insect health, and providing real-time data analysis, this system seeks to enhance breeding efficiency, reduce labor costs, and contribute significantly to biodiversity conservation efforts.

HOW DOES IT WORK

The Smart Insect Breeding System employs cutting-edge technologies to create an optimal environment for rare insect species:Key Components:

1. Sensor Integration
   • A comprehensive network of sensors monitors temperature, humidity, and light levels continuously
   • Ensures precise tracking of the growing environment
2. Data Acquisition and Processing
   • Microcontroller collects and processes sensor data
   • Analyzes information to identify deviations from optimal conditions
3. Automated Control
   • Based on data analysis, the microcontroller activates actuators
   • Adjusts environmental factors such as temperature, humidity, and lighting automatically
4. Remote Monitoring
   • Mobile app enables users to monitor the system remotely
   • Allows for setting adjustments and provides real-time alerts
5. Data Analysis and Optimization
   • System collects and analyzes data on insect growth, behavior, and environmental conditions
   • Utilizes insights to optimize breeding practices and improve overall results

This Smart Insect Breeding System represents a significant advancement in entomology and conservation technology. By combining automation, data analysis, and remote monitoring capabilities, it offers a powerful tool for researchers and conservationists working to preserve rare insect species and maintain biodiversity.

In an era of rapid urbanization, MOTORSAFE presents an innovative solution that bridges the gap between city living and nature: The Green Car. Developed by talented students from Nguyen Binh Khiem High School for Gifted Students in Vinh Long, this groundbreaking project transforms everyday transportation into mobile ecosystems.

Smart Technology Meets Environmental Sustainability

The Green Car isn’t just a vehicle – it’s a self-sustaining garden on wheels. Our advanced system combines autonomous driving capabilities with cutting-edge environmental technology:

• Intelligent Irrigation System
  Smart sensors monitor soil conditions in real-time, delivering precise amounts of water to maintain optimal plant health
• Solar-Powered Growth Lights
  Integrated solar panels power LED systems that ensure plants thrive in any urban environment, day or night
• Advanced Plant Health Monitoring
  State-of-the-art sensors detect and prevent pest issues and diseases before they impact plant vitality
• Adaptive Mobility Design
  Flexible positioning allows for strategic placement throughout urban spaces, maximizing the impact of green areas where they’re needed most

Impact on Urban Living

The Green Car project represents more than technological innovation – it’s a practical solution for creating healthier, more livable cities. By introducing mobile green spaces into urban environments, we’re improving air quality, enhancing urban aesthetics, and reconnecting city dwellers with nature.

Bringing nature back to cities, one vehicle at a time.