Proj S32 – KLASS Engineering – Personnel and Artefact Monitoring System (PAMS)

Introducing Proj S32 – KLASS Engineering – Personnel and Artefact Monitoring System (PAMS)

Personnel and Artefact Monitoring System (PAMS) is an anti-theft solution that utilises reliable, robust technology for precise, real-time localisation of personnel and sensitive objects within specified environments. PAMS is designed to provide security and enhance operational efficiency. It is both scalable and cost-efficient. It also integrates with existing networking infrastructures to provide detailed analytics, enabling effective resource monitoring and management across various sectors.

Team members

Melodie Chew En Qi (CSD), Tan Li Ling (CSD), Neha Joseph Alapatt (EPD), Tresthon Quah (EPD), Cassie Chong Kenci (CSD), Adelle Chan Min Hui (CSD)

Instructors:

  • Zhao Fang

Writing Instructors:

  • Delfinn Tan Sweimay

Designed Features

TargetsSecurity and Scalability

Security by design: From the start, the system is ideated with security in mind. From physical security to environment safety and code safety, we make sure that our physical hardware is tamper-proof, and all data uses encryption in storage and transit. The system is also designed to follow the principle of isolation, such that components can function with a level of fault tolerance. All component choices are also chosen for their compatibility with security standards.

Scalability: All components are designed to be modular. The hardware design is easy to replicate, the middleware is chosen to be able to handle large loads of data, and the software is designed to handle fast, real-time processing. All these implementations enable an easily scalable solution.

Product Video

Movement of data in architecture

Prototype Components

PAMS hardware components consists of anchors to be mounted on walls, and tags with movement and detachment-detachment capabilities. Software components consist of a data pipeline, a stream data processor, and a frontend interface for visualisation, system administration and management.

Hardware Renders

Solution Features

Acknowledgements

We would like to acknowledge the people who have been with us through our journey with this solution. Firstly, we thank our Capstone mentor, Prof. Zhao Fang for her consistent encouragement and support, her past experience with similar sensor systems were a great help for macroscopic considerations throughout our project. Additionally, we would like to thank our lovely CWR mentor Delfinn for all her advice towards the structure and aesthetics of our presentations and reports. We would also like to thank KlASS, our industry partner, project managers Si Hui and Zheng Hao for their continued presence and help onboarding and managing our project. Last but definitely not least, a very special thanks to our industry mentor, Wen Sher for her continued guidance and experience for all the work we did.

We would also like to thank the capstone office and EHS offices for their presence and help throughout our journey.

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