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Project List
A01 Auto Water Stopper
A02 Auto Water Stopper
A03 Auto Water Stopper
A04 Smart UV Disinfection Robot
A05 IoT Based Smart Home System
A06 Smart Food Ordering and Serving System
A07 Intelligent Traffic Light Control System
Click here to watch all projects' videos in the playlist.
See below for more projects' information.
A01 Auto Water Stopper
A01 Auto Water Stopper
Exhibitors: FOONG JUN JIE | SHAWN LEOW CHEE KEAN | LIM SHAN PIN | TOK WEI MOON
Programme: Bachelor of Mechanical Engineering
Water leakage is undeniably a problem that bothers every household from time to time. This is because not everyone will pay attention to the pipeline until the monthly water bill gives a shock to them. Hence, PIKALEAK is here to provide the solution. Our proposed system consists of two units where one is the sensors units and one is the auto water stopper unit. As the name says, the sensor units will be the unit responsible for detection of leakage in the pipeline while the water stopper unit is the unit responsible for the prevention of further leakage. Our product aim to detect leakage immediately in their respective range. Moreover, it also aims to detect excessive usage of water. In short, our product is a cheaper and more effective solution to the in-house water leakage problem. Hence, with our system, the public can feel more ease with their daily water utilization. The main objective of this project is to develop an automated system that solves problems such as water leakage and over-consumption of water.
A02 Auto Water Stopper
A02 Auto Water Stopper
Exhibitors: ANG XUN THERN | CHONG WEI ZHENG | LIEW CHING CHING |ONG JIA SOON
Programme: Bachelor of Mechanical Engineering
Water wastage can result from leakage of the piping system. Hence, an auto water-stopping system is designed to solve the problem. The main components for this design include Arduino UNO, flow meter, solenoid valve, and infrared sensor in order to control the system, which consumes about 26.5W of power to function. To simulate the leakage condition, the end cap located at the leakage simulator is to be loosened. The working principle of this system:
In normal conditions, as the infrared sensor detected motion, the outlet valve will instruct to be opened, flow sensor detects flow. As the infrared sensor detect motion again, the outlet valve will instruct to be closed, the flow sensor should detects no flow. When the outlet valve is in a closed condition, but there is flow detected, it is indicated as leakage occurs, inlet valve is instructed to be closed. In case of error detection occurs, user may reboot the system by switching off and on the power supply for the Arduino UNO.
A03 Auto Water Stopper
A03 Auto Water Stopper
Exhibitors: JEREMIAH SOON LI | KHAM KAI WEN | LEE VEEXIAN | CHER CHIA XING
Programme: Bachelor of Mechanical Engineering
The project is focused on building an auto water stopper that is able to determine water leakages and stop it automatically. cost importantly, this auto water stopper must be built at low cost, much lower compared to the available products in the market. The way that the auto water stopper is being design to detect water leakages is to follow a time criterion. If the waterflow for more than 20 minutes, then it will be considered as water leakage and will be swiftly stopped. This is the method to differentiate between water usage and water leakage. The auto water stopper is split between 2 modes, home mode which is the default mode used and away mode which is the mode used while users are away. The criteria used for determining water leakage in away mode is when water flows continuously for 20 seconds, the solenoid valve will be activated to closed off the waterflow. To add more security to it, a counter is also added in to the requirement to ensure that non- continuous leakage will also be detected. If the auto water stopper is being detected for 5 times it will stop the water flow.
A04 Smart UV Disinfection Robot
A04 Smart UV Disinfection Robot
Exhibitors: HANI NATASHA | KOAY LEK SHENG | TAN LIN EE | LEAW CHEE MING
Programme: Bachelor of Electrical and Electronics Engineering
The issues of Covid-19 still remain relevant even after a year, it is notable that covid-19 has caused many deaths and the numbers of victims are still on the rise reaching 20k daily in Malaysia. Many of these victims are caused by gathering in crowded places such as hotels or public areas and some are even caused in hospitals when people are getting their treatment or doing disinfection. Therefore, Malaysia is in need of a method to kill the covid-19 viruses effectively and constantly to prevent more victims from these spreading sites.
Therefore, Smart UV Disinfection Robot is introduced to help Malaysia.
Smart UV Disinfection Robot can effectively disinfect a room within a few minutes time. Smart Uv Disinfection Robot will use the advanced technology of mapping to navigate itself throughout the building and sanitize every possible location. Users don’t have to worry anymore about the consequences that come from disinfecting these virus infected areas and letting the machines do the risky job. To add on, Smart UV Disinfection Robot will aim to be as affordable as possible while still maintaining the quality to allow mass deployment on the robots to save Malaysia from the pandemic.
A05 IoT Based Smart Home System
A05 IoT Based Smart Home System
Exhibitors: SOH MENG YONG | LOW JER HAN | SEOW ZHI HUNG | CHUA YUN CHEN
Programme: Bachelor of Electrical and Electronics Engineering
In conjunction with the advancement of the internet of thing (IoT), the use of home automation technologies have become increasingly popular. This project aims to develop an IoT Based Smart Home System at an affordable cost. The smart home features several user-controlled features namely the Smart Door, Smart Curtain, Smart Roof, and Smart Light, as well as several sensor-controlled features namely the AutoRoof and AutoLight. The smart home allows users to control all the features by using Telegram, in which the telegram will receive the command sent by the users and in turn control the feature. Both AutoRoof and AutoLight have their respective input sensor which is a rain sensors, and an LDR module to detect the existence of the input and then generate the respective output. A smart security feature based on facial recognition has also been included. Smart Security features a camera that detects the face of a person and opens the door when a registered face is detected. The door remains closed if an unregistered face is detected. A photo of the unrecognized individual is sent to the users for manual authentication. The as-developed prototype of the IoT based smart home system functions well with a 90% accuracy for the facial recognition system, introducing better security, environmental sustainability and living convenience to the residents.
A06 Smart Food Ordering and Serving System
A06 Smart Food Ordering and Serving System
Exhibitors: LIM JIE QIAN | SEM WEI XUAN | TEH HUI XIA
Programme: Bachelor of Electrical and Electronics Engineering
This is a food delivering robot project. This project come with a web page which use to order the food with an online method and a food delivery robot will deliver the food to the customer without human-to-human contact. Thus, this can achieve Covid-19 prevention. Food delivery robot used Arduino Mega as the central processing unit (CPU). Kitchen crew will load the food on the robot and push the pre-set table button to send the food to the customers. Different LED on the robot will light up to shows the status of the robot for example delivering food, reached the desire place or parking at the kitchen. A buzzer and a red LED will on when any obstacles are presence on the path of the robot. After customer pick-up the food, with a click of a button, it will send the robot back to the kitchen.
A07 Intelligent Traffic Light System
A07 Intelligent Traffic Light System
Exhibitors: PAVITHIRAN | SEOW YONG JIAN | LIM KHENG YAO |TAN KWAN SENG
Programme: Bachelor of Electrical and Electronics Engineering
The goal of the Intelligent Traffic Light System is to create a traffic light system that can recognize an ambulance based on real-life imagery. By using machine learning in picture and audio processing, the system will be able to recognize the ambulance's emergency state. By installing this intelligent traffic light system at any road intersection in Malaysia, the ambulance will be able to pass through with a green light automatically. Making the traffic light more intelligent to face the problem while facing an emergency situation.
In 2017, a well-publicized incident occurred when an ambulance ran a red light and collided with two automobiles and three motorcyclists. With the ever-changing science technology and rapid products' updating, innovation turns to be of great importance in society nowadays. This terrible situation should be avoided and technology should prevent human beings from making human mistakes. Hence, our project will utilize the combination of knowledge and modern technology to provide the solution for our beloved society.
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