Project List

C01 Machine Vision Based Chain Track Health Inspection System

C02 Chain track surface inspection with computer vision

C03 Chain Track Health Monitoring System

C04 IOT-BASED SMART ECO RECYCLE BIN (ISERB)

C05 Automatic Truck Inspection System

C06 Smart Carpark System

Click here to watch all projects' videos in the playlist.

See below for more projects' information.

BACK

C01 Machine Vision Based Chain Track Health Inspection System

Exhibitors: NG KHAI SEAN | LAW YIT CHUAN | LIM JUN YI | NG WEI CHUEN

Programme: Bachelor of Mechatronics Engineering

Watch demo

Conveyor Chain System is normally used in industry with intention of transporting heavy load goods or product. In glove manufacturing factory, conveyor chain is used to transfer the glove through the whole manufacturing line. As time being, the conveyor chain track, which the bearing travel on it will be penetrated due to friction and weight of the bearing. The whole conveyor chain will be vibrated when the bearing travel through the vibrated hole, which will cause defection in quality of the glove manufactured. Therefore, the health of the chain track must be monitored within a period of time. In this project, a system that is able to monitor the health of chain track is needed, it must be able to detect a present of hole on conveyor chain track before the hole caused any effect on the quality of glove manufactured. Our system, Machine Vision Based Chain Track Health Inspection System is used to monitor the health of the chain track with the help of machine vision. Whenever our system detects a hole present on chain track, it will warn the technician for immediate treatment.

C02 Chain Track Surface Inspection with Computer Vision

Exhibitors: ONG WIN KENT | LIM JIAN HAN | LEE PENG | NG MING LI

Programme: Bachelor of Mechatronics Engineering

Watch demo

"Defects appear on the surface of the chain track could greatly affect the productivity in a factory due decreasing in the efficiency of the production line.Friction cause by the bearing moving on the surface of the chain track continuously which cause the defects on the chain track surface and slow down the movement of the bearing in the production line.

Hence a chain track surface inspection machine with computer vision system was designed to attached on the bearing to move along the production line and inspect the defect on the chain track surface. User able to visualise the live footage from the camera on the machine where defect detected on chain track along production line, total defect detected, image of defect, etc through the graphical user interface developed."

C03 Chain Track Health Monitoring System

Exhibitors: YEAP SOON HAO | TAN WEI HANG | TAN CHEE KEONG | TAN CHOO HEE

Programme: Bachelor of Electrical and Electronics Engineering

Watch demo

In the rubber gloves industry, the manufacturers often meet a problem where the chain track in the production line will experience wear and tear on its surface. This problem causes the arms of the machine to vibrate and eventually the quality of the products is affected. This can bring unnecessary costs to the company due to an unscheduled shutdown of the production line. Thus, monitoring the condition of the machine is important to the quality of the products and the costs. Our system is to solve the problem above by using vibration-sensing technology to obtain the raw data. A bearing system, together with sensors, is to be mounted onto the conveyor system so that the bearing is landed on the chain track and produces vertical vibration for data collection. The data will be processed by a microcontroller unit and transmitted wirelessly to the host or PC, then stored on the PC. To analyse the signal obtained from the sensors, signal processing techniques such as Fast Fourier Transform, Signal Filtering and Artificial Intelligence (AI), will be used.

C04 IOT-BASED SMART ECO RECYCLE BIN

Exhibitors: LIM YANG XUAN | TIONG YEONG MING | CHEO MING JIE | LOUISAINA TAN YIFEN

Programme: Bachelor of Electrical and Electronics Engineering

Watch demo

The volume of waste within Malaysia has been increasing year by year. Hence, the project scope is to provide an outdoor automated sorting waste system in Malaysia. The IoT-based Smart Eco Recycle Bin (ISERB) is a project that targets this problem within waste collection by enabling the automatic sorting of waste by using image classification method. Part of this project is supplied by natural sources. An app is developed for the user and management to know about bin info. All the data is stored in a Firebase database. The IR sensor will detect the garbage to activate the camera with count down for 5 seconds, the model prediction result will be sent back to Raspberry Pi 3B+ for rotation of two motors and QR display for respective types of the bins. Ultrasonic sensors are to detect the bin fill level and update the database. This project not only reduces the workload of the sanitation workers, it also helps to motivate the society to recycle more in an easy and efficient way l. It also capable of solving the problem of reducing the number of recyclable materials being thrown into landfills.

C05 Automatic Truck Inspection System

Exhibitors: TAN SHING JIAN | CHEN ZI SHAN | LEE CHANG YI | LOH HIEW LAM

Programme: Bachelor of Electrical and Electronics Engineering

Watch demo

Our project Automatic Truck Inspection System will check the markings on the container and truck license plate number images then record its characters in the database using image processing and machine learning. Through the graphical user interface, the user can view existing records of Container Character Code (CCC) and License Plate Number (LPN) result or run the detection for new images. Besides, this system can also be used for vehicle profiling if the image of both truck and container are provided at the same time.

C06 Smart Carpark System

Exhibitors: LIM JIA CHONG | GOH WEI HONG | CHAI TIAN CHI | KHOO WEI XUAN

Programme: Bachelor of Electrical and Electronics Engineering

Watch demo

The “Smart Carpark System” project is a project that having the mean to develop a system that is able to detect empty slot using the image processing method and display the result as an image in an android application where the users can view it at before their departure. The image includes the overall occupancy information of the car park and the number of available parking spaces. This would definitely reduce the time that users spent in the car park as the congestion can be solved due to the amount of vehicles are wandering around the car park to find an empty slot is reduced.

BACK