The Plugfest 2.0 is a unique hands-on program that aims to build internal talent pool within the E&E sector by applying the benefits of Industry 4.0 via the integration of AI-Based Machine Vision System to improve productivity.

How The Program Works
  • Participants will start the program by attending the 5 half-day Plugfest workshop using Microsoft Team Online Teaching Platform including online session on AI-Based Machine Vision devices setting up, configuring dashboard and system interrogation using various protocols.
  • Upon completion of the Plugfest workshop, each participant must carry out an AI-Based Machine Vision System PoC project at their site to improve productivity
  • Participants will need to produce a simple report and showcase their project to the organisers.
Resources Provided
  • The EEPN together with their technology partners, will provide coaching to participants during the workshop session.
  • Participant/s from each company will be given the necessary AI-Based Machine Vision System-related starter kits (eg Machine Vision System with Integrated high-performance Intel® Core i7 processor, system memory, storage, camera, deep learning software, etc) to test and use during the workshop session. Upon completion of the workshop, participants will be using the kits for an AI-Based Machine Vision System project implementation at their company.
  • Participants can request for advisory support from the technology partners during the implementation of their PoC project. The advisory support is subject to the availability of the technology partner.
Who Should Participate

Equipment/IT/Automation Engineers and Senior Technicians from local SME/LLC manufacturing companies.

Day 1
9.30 am – 9.40 amWelcoming Speech from EEPN/MPC
9.40 am – 11.30 am
  • Overview of AI Fundamental Knowledge:
    • AI Introduction
    • AI in Industrial Use-Case
    • AI, Machine Learning, Deep Learning
    • AI Data Set & AI Training
    • End-to-End Deep Learning with Inte
11.30 am – 12.00 pm Q&A
Day 2
9.30 am – 11.30 am
  • AI starter kit Introduction
  • Hardware Unbox and Setup
  • EIS Architecture Overview
    • Video Ingestion and Video analytics
    • Deep Learning Training
    • Configuration Management
    • Device Manageability
  • Hand-on
    • Configuration between Camera and Axiomtek AI Kit using OpenVINO S/W
    • Test out simple function using sample demo
11.30 am – 12.00 pm Q&A
Day 3
9.30 am – 11.30 am
  • Hand-on & Demonstration on object detection and classification (Glove & Mask)
    • Image capture
    • Image labeling
    • Create Dataset
    • Training data
    • Inference – EIS (Edge Insights Detection)
11.30 am – 12.00 pm Q&A
Day 4
9.30 am – 11.30 am
  • Hand-on & Demonstration on object detection and classification (Colour Brick &
    Glove Defect)
    • Image capture
    • Image labeling
    • Create Dataset
    • Training data
    • Inference – EIS (Edge Insights Detection)
  • How to choose AI-based machine vision solution
11.30 am – 12.00 pm Q&A
Day 5
9.30 am – 11.30 am
  • Introduction to Linux
  • Introduction to Node-red dashboard
  • Node-Red software installation
  • Hand-on
    • Create dashboard
    • Visualization of the inference result using dashboard
11.30 am – 12.00 pm Q&A
Day 6
9.30 am – 11.20 am
  • Create data storage
  • Create log report
11.20 am – 11.50 am Q&A
11.50 am – 12.00 Noon Closing Speech by MPC/EEPN
Terms & Conditions
  1. This fully funded program is open to participants from manufacturing industry SME only. Participants from MNCs are allowed to participate with RM6000 fee (for 2 pax).
  2. Participant must be a Malaysia citizen.
  3. Participant must be from a Malaysian-based company. Participants from MNCs are allowed to participate as long as their company has operations in Malaysia.
  4. Each company can only enroll a maximum of TWO (2) Engineers/Technicians.
  5. Item 5-8 are only applicable for fully funded participants from SME/LLC
  6. Participants need to complete their pilot implementation project in their manufacturing operations within THREE (3) months from the completion of the Plugfest workshop and hands-on session.
  7. If the participant/company fails to complete the pilot implementation within the stipulated period, the organisers reserve the right to take back the training kit or impose a penalty of RM6,000, which is the full Plugfest 2.0 program cost, on the participating company
  8. Each participant is required to provide a written report to the organisers on the pilot implementation, which must include information such as photographic proof of the implementation, data collection and improvement, and a write-up on other experience gained during the project. The report must be submitted no later than TWO (2) weeks after the completion of the pilot implementation project.
  9. The participant/participating company is required to support future visitation requests or invitations to share on their pilot project experience from organisers.
  10. The participating company need to complete and submit the online MPC ezBE survey if they yet to do so.