ShellSelamatSampai

VARSITY CHALLENGE

WINNERS’ ANNOUNCEMENT 2022

CHAMPION

Team salvus champion

Team Name: Safe Pentagon

Project: Alert Pal

University: Universiti Malaya

Team Members:

  • Chew Chin Keat
  • Tan Xin Xiu
  • Tan Yung Wei
  • Leong Tze Heng
  • Adam Loh Ee Xian

Project Description: Alert Pal is a fatigue-monitoring system that uses real-time computer vision and electronic sensors to detect driver's fatigue. If fatigue is detected, a notification will be sent to alert the driver to stop driving.

1st RUNNER UP

Team dynamic 1st runner up

Team Name: The Flash

Project: SMART ALERT VEHICLE WITH APPS MONITORING "SAVe"

University: Universiti Teknikal Malaysia Melaka

Team Members:

  • Muhammad Aqil bin Kamarulzaman
  • Tan Kim Loong
  • Nur Aiman Hadi bin Nor Ezhan
  • Syarifah Noraqilah Najla binti Syed Muaz
  • Zulhanif bin Rozali

Project Description: This project intends to develop a system capable of detecting vehicle collisions, hazardous gas leakage and temperature in the automobile, and headlamp activation that may result in a loss of vehicle power. These detections will then be notified via a mobile app, SAVe to external contacts registered with the programme, of the situation and position. This will save time while offering additional support.

2nd RUNNER UP

team uum group-2 2nd runner up

Team Name: RSAS

Project: RAINY SPEED ADVISORY SYSTEM (RSAS)

University: Universiti Teknologi MARA

Team Members:

  • Fatin Hamimi binti Saiful Amri
  • Nur Syazwani binti Saharuddin
  • Nur Syaqirah binti Osman
  • Nurnajmi Safiuddin bin Husain
  • Farah Syahira binti Abd Jalil 

Project Description: This project aims to combat collisions or run-off collisions due to speed and aquaplaning during rainy situations. The system will identify the depth of water on roadways and the speed of the car, and will then prescribe a speed limit to the driver.

CONSOLATION

Team sparkler consolation

Team Name: Bon Voyage

Project: Knock-Out Gas Alarm (KOGA)

University: Universiti Putra Malaysia

Team Members:

  • Nurulnajwa Alyaa binti Othman
  • Amirul Haqim bin Shuhariman
  • Muhammad Alzammudin bin Serajudeen
  • Syahzanani Irdina binti Jeffri
  • Badrul Amin bin Zambri

Project Description: The purpose of KOGA is to inform individuals when it detects carbon monoxide gas inside a vehicle. The device will be able to detect any carbon monoxide leaks in the vehicle while the occupants are sleeping and provide various alarms and features to prevent carbon monoxide inhalation.

CONSOLATION

Team medulla consolation

Team Name: Hermes

Project: Motorcycle Obstacle Detector

University: Universiti Teknikal Malaysia Melaka

Team Members:

  • Ahmad Irfan bin Harman
  • Muhammad Daniel bin Rahim
  • Muhammad Qarl Farisz bin Mohd Rahimi
  • Nurnajihah Hazirah binti Azhari

Project Description: This project's objective is to develop a motorcycle obstacle detection system. For a safer journey to the destination, the technology is designed to warn riders of any potential danger. The alert will be implanted within the rider's helmet and will only be audible to them.

WINNERS’ ANNOUNCEMENT 2021

CHAMPION

Team salvus champion

Team Name: SALVUS

Project: Anti-Drunk & Sleep Detector

University: Universiti Putra Malaysia (UPM)

Team Members:

  • Siti Aishah Husna binti Mohd Noor
  • Nurul Faqihah binti Hambali
  • Mas Athirah binti Mohd Hisban
  • Kiang Fei Yi
  • Nurul Syamilah binti Azman

Project Description: The project aims to create a device that identifies drunk or drivers who are prone to microsleep while driving. The device will detect the alcohol scent and oxygen level of the driver to indicate if the driver is not suitable to driver.

1st RUNNER UP

Team dynamic 1st runner up

Team Name: Dynamic

Project: Pothole Detection System (PoDS)

University: Universiti Putra Malaysia (UPM)

Team Members:

  • Lee Zi Ying
  • Ngiow Ee Qin
  • How Han Yang
  • Gan Pei Koon
  • Ho Zhu On

Project Description: The project aims to create a system that will detect any potholes while driving. The system uses a camera and distance sensor to detect the pothole and will store the information in a cloud base for other drivers take notice.

2nd RUNNER UP

team uum group-2 2nd runner up

Team Name: UUM Group 2

Project: Helmet Chin Strap Detector (CSD)

University: Universiti Utara Malaysia (UUM)

Team Members:

  • Kavines Nair Ananthan
  • Heemashini A/P Thana Seelan
  • Danusha Raman
  • Lai Soon Kian

Project Description: The project aims to address several motorcycle related accidents. The first is to develop a helmet detecting system to ensure the riders wear a helmet when riding. Next, an alcohol detector is placed in the helmet to detect the alcohol level via respiratory system.

CONSOLATION

Team sparkler consolation

Team Name: Sparkler

Project: Smart Child Car Seat with Ambient Monitoring

University: Universiti Teknikal Malaysia Melaka (UTeM)

Team Members:

  • Tan Kim Loong
  • Muhamad Hilmi Bin Hasnan
  • Syukur Bin Samsudin
  • Muhammad Saudi Lai Bin Mohd Fikri
  • Hadirah binti Zaharuddin

Project Description: The project is to create a child car seat alert system with multi detector and temperature level detection sensor that will alert parents or passer-by of an infant that might be in the car. This will reduce the time taken to assist the infant and save innocent lives.

CONSOLATION

Team medulla consolation

Team Name: Medulla

Project: EYEDGE, The Blind Spot Detection System

University: Universiti Malaysia Sarawak (UNIMAS) & Universiti Tunku Abdul Rahman (UTAR)

Team Members:

  • Daniel Bong Yik Wei
  • Joey Yeo Joo Sii
  • Hiew Zhin Yii
  • Chew Kah Cheng

Project Description: This project’s objective is to create an enhanced blind spot detection system that the ones currently available in the market. The enhancement covers detection at all times, wider coverage and usage of speaker to alert the drivers.

Team Firecracker from Universiti Teknikal Malaysia Melaka (UTeM) developed a road safety solution called the Change Lane Alert Assist (CLASs) where the prototype alerts other vehicle drivers against potential head-on collisions. CLASs is specifically designed for the implementation in heavy vehicles where it consists of LIDAR sensors and LED panel. While driving on single-lane roads, the LIDAR sensors detect any incoming vehicle in the opposite direction and provide the alert through its LED panel that is positioned at the rear end of the vehicle. The system will continuously update when it is safe for other vehicles to overtake.

The grand finale ceremony was held at the #mydigitalmaker Fair 2019 with top 5 finalists presented and showcased their prototypes to a panel of judges from Shell Malaysia, Malaysian Institute of Road Safety Research (MIROS) and Department of Higher Education (JPT). The #SSSVC grand champion received cash prize of RM 10,000 together with the coveted trophy and certificates.