QR code to vote for the #sssvc 2022 top 5 finalists

Scan the QR code or click the link below to vote for the #SSSVC 2022 top 5 finalists 

From 3 November 2022 to 7 December 2022.



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.


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.


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.


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.


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.