Project Gallery

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Indoor Positioning System

This project aims to design a two-stage Indoor Positioning System (demonstrated by a moving robot), combining two methods: “Moving Distance Tracking” and “Optical Recognition”. The first stage, “Moving Distance Tracking”, makes use of motor encoders and trilateration to estimate the distance travelled by a robot, and hence compute the current location coordinates. This approach is fast and easy to implement, but as the moving distance accumulates, so does the error. Eventually the accumulated error could become too large. To reset this error, a second stage, “Optical Recognition”, is added to the system. The second stage kicks in when the robot is stationary. It uses OpenCV (image recognition open-source software) to measure angles between “beacons” placed at different locations in the area, and “triangulation” to compute the current location coordinates. For a test area of 4.2 metre x 3.6 metre, this second stage is able to achieve accuracy of about +/- 10 cm.

Since optical recognition takes a long time for processing, the second stage is not suitable while the robot is in motion. Therefore, while the robot moves, the faster process “Moving Distance Tracking” is used. While the robot is stationary, the much slower “optical Recognition” is used to reset the accumulated error.

This two-stage “Indoor Position System” can be used for autonomous robot navigation.

Internet of thing – monitoring and emergency system (MAES)

This project provides an overall tracking ability to elderly care homes. This includes an Indoor tracking, Outdoor tracking as well as a Vehicle Tracking System. Administrators will be provided with a Website Interface that will allow them to keep track all Elderly and their Vehicles in the homes. The Nurses in the homes will be able keep track of the Elderly belonging to their area through our Android Application and Website Interface. The Elderly will have to wear a wearable device that is used to track of their location.

The MAES tracking system provide the elderly homes with an all rounded tracking system. With the elderly carrying the Arduino, the nurses and administrator will be able to keep track of the position of the elderly both indoor and outdoor. Moreover, with the Arduino devices installed on the vehicles, the administrator also will be able to know the current location of the vehicles within a click of the mouse.

With the rising numbers of elderly in Singapore, we believe there will be an increase in the demand of the MAES system. With this rising demand, we believe that MAES system will be implemented in many of the elderly home so as to help the administrator and nurses better manage the home.

Reporting system for monitoring and control

The purpose of the project is to produce a convenient and reliable method for cleanliness and fault reporting as well as remotely monitoring and controlling devices. This is a comprehensive mobile application that provide a one-stop solution for the problem of difficulty and tedious process of fault of cleanliness reporting. Complete with email, photo capturing and QR Code scanning capabilities, the user will not have to switch to any external application.

This project is reviewed by personnel from Khoo Teck Puat Hospital and receive encouraging positive remarks. It served its need and purpose as a comprehensive and convenient reporting tool that is highly acceptable and effective in Singapore. Function as a standalone application, it provides great user experience with minimum hassle and maximum satisfaction. The application is currently under trial for implementation in Khoo Teck Puat Hospital.

Guardian Angel

The purpose of this project is to enable better mobility and accessibility for those afflicted with medical conditions, which compromise their ability to move. Our target groups are the elderly and the disabled. We aim to tackle the issue of patients depending on external care. By doing so, we hope to improve the quality of life of the user and their families. Families with such members can look forward to reduced overall strain and cost of taking care of said user.

The device aims to fill a market gap in which there are little other options available for patients who are fully paralyzed. We believe our product will open up a whole new world of freedom for the user. We intend for the product to provide extended mobility to users without the need for external provision. Currently, such a feat requires a caregiver to care for the user. This might accrue high costs as even simple daily tasks requires external support. Our product will enable greater user independency and allow them to regain their freedom.

Mobile Robot @ Work

The objective of this project is to enable the use of innovative mobile robots equipped with advanced manipulators for current and future industrial applications, where robots cooperate with human workers for complex tasks ranging from manufacturing, automation, and parts handling up to general logistics. This project focuses on navigation and manipulation. Navigation allows the robot to move around in its environment in a goal-oriented, autonomous, robust, and safe way. Manipulation allows the robot to demonstrate its capabilities to handle an object, for example picking, grasping, turning, sorting or placing an object.