Author: Dariu-Admin

The Semi-Automatic Durian Harvesting and Transport project was developed to address safety and efficiency challenges in durian farming. In provinces such as Vinh Long, Tien Giang, and Ben Tre, durian harvesting still relies heavily on manual labour, exposing workers to safety risks from climbing tall trees and handling heavy, thorny fruits. Traditional machines are unsuitable for durians due to their unique weight, protective needs, and delicate handling requirements. The team set out to create a Bluetooth-controlled automated system that reduces physical strain, enhances worker safety, and protects fruit quality throughout the harvesting and transport process.

HOW DOES IT WORK

The system operates through a smartphone interface connected via a Bluetooth Module (BT18), with an UNO R3 microcontroller at its core processing commands and controlling DC motors through BTS7960 motor drivers across three channels:

• Remote positioning: The operator uses a smartphone app to navigate the machine beneath durian trees, eliminating the need for climbing
• Safe harvesting platform: Workers cut durians from a stable platform while fruits drop gently into a cushioned catchment basket, preventing damage
• Controlled lowering: The basket descends slowly into the main container, protecting fruit quality and integrity
• Automatic transport and unloading: Once full, the machine navigates to the collection point and tilts the basket to transfer fruits onto trucks effortlessly

The system functions seamlessly from orchard to collection point. In the field, operators position the machine under high durian trees, cut the fruit, and watch it land safely in the basket. During collection, the machine automatically moves to the pickup area and tilts to load fruits onto transport vehicles, saving time and reducing manual handling.

IMPACT

The Semi-Automatic Durian Harvesting system combines automation, IoT, and agricultural technology to create a practical solution for real-world needs. It demonstrates how students can apply coding, engineering, and problem-solving skills to address meaningful community challenges—from improving worker safety to modernising traditional farming practices in Vietnam’s Mekong Delta region.

The AutoSense Bed project was developed with the vision of using technology to improve healthcare and caregiving. In many Vietnamese families, especially those with elderly or sick members living alone, providing constant care can be challenging. The team set out to create an automated system that monitors health conditions, reduces caregiver workload, and ensures patients receive timely attention—particularly when professional healthcare support is limited.

HOW DOES IT WORK

The AutoSense Bed integrates health monitoring, mobility assistance, and remote control into one comprehensive system. At its core, an ESP32 ESP-WROOM-32 microcontroller collects and processes health data from multiple sensors:

• A GY-MAX30100 sensor continuously measures heart rate and blood oxygen levels
• An arm-style blood pressure monitor records blood pressure and pulse
• A GY-906 MLX90614 infrared temperature sensor measures body temperature without contact, ensuring patient comfort and hygiene

All readings are displayed on a local screen and transmitted via Wi-Fi or Bluetooth to a mobile application, allowing caregivers to monitor the patient’s condition remotely from anywhere.

Additionally, the bed’s mechanical system—powered by a stepper motor and T20 lead screw—enables smooth lifting, lowering, and repositioning of the patient. Caregivers can adjust these settings through the mobile app, ensuring safety and convenience even when they’re not physically present.

IMPACT

The AutoSense Bed combines automation, IoT, and healthcare technology to create a practical solution for real-world needs. It demonstrates how students can apply coding, engineering, and problem-solving skills to address meaningful community challenges—from supporting elderly care to improving home healthcare systems in Vietnam.

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.