Flagship School Programme 01 · Machine Vision & IoT

AI Vision & Smart Campus IoT Programme

Empower secondary students to train, deploy, and evaluate offline neural networks using physical vision processors and micro:bit IoT shields. Includes 100% permanent hardware ownership transfer and complete EDB audit documentation.

5 – 10 Sessions (60–90 mins)
Secondary 1 – 6 (15–25 Students)
100% Permanent Hardware Transfer
SCRC-Cleared Degree Instructors
Request Official School QuotationWhatsApp
Permanent School Asset

100% Permanent Hardware Ownership Retention

We reject temporary equipment rental models. Every sensor, microcontroller, and AI camera remains on your campus permanently to equip ongoing school innovation labs.

15×Permanent School Asset

DFRobot HuskyLens AI Vision Cameras

Powered by Kendryte K210 dual-core 64-bit RISC-V neural processors. Runs fully offline image inference with zero network dependency.

15×Permanent School Asset

BBC micro:bit V2.2 Microcontrollers

Latest revision microcontrollers equipped with onboard microphones, speakers, capacitive touch sensors, and USB cables.

15×Permanent School Asset

Smart Campus Sensor & Actuator Shields

Includes high-torque metal-gear servos, PIR human presence sensors, ultrasonic distance transceivers, and multi-color indicator LEDs.

25×Permanent School Asset

Printed Bilingual Student Workbooks & Slides

Full-colour printed student engineering logbooks containing algorithmic diagrams, pseudo-code templates, and review rubrics.

Modular Syllabus Progression

10-Session Applied Curriculum Framework

Flexible 5 to 10-session deployment tailored to school timetables, after-school activity slots, or post-exam STEM weeks.

Session 01

Introduction to Machine Perception & Edge AI

Explore pixel arrays, frame rates, and edge AI versus cloud processing. HuskyLens camera calibration and micro:bit I2C telemetry.

Session 02

Facial Recognition & Access Control Gates

Train neural classification models to identify student faces; program servo motors to simulate automated campus security barriers.

Session 03

Object Classification & Feature Extraction

Learn feature extraction principles; train visual models to differentiate recyclable materials including paper, plastic, and metal.

Session 04

Smart Campus Automated Recycling Bin

Integrate AI camera recognition with dual servo flaps to construct an autonomous, touch-free waste segregation prototype.

Session 05

Visual Line Tracking & Signpost Recognition

Deploy machine vision to follow colored floor paths and recognize navigational arrows and directional landmarks.

Session 06

Classroom IoT & Environmental Sensing

Connect PIR motion and ambient environmental sensors to engineer energy-efficient classroom automation routines.

Session 07

Radio Telemetry & Campus Dashboard

Broadcast vision events and environmental data across micro:bit radios to a real-time central campus telemetry terminal.

Session 08

Capstone Ideation & System Architecture

Student teams formulate solutions for real school needs (e.g. library seat monitoring, corridor crowding alerts).

Session 09

Hardware Integration & Model Optimization

Assemble physical chassis, calibrate confidence thresholds under fluctuating lighting, and debug false positives.

Session 10

Smart Campus Project Showcase & Awards

Student teams present working prototypes to a judging panel, followed by formal certificate and trophy presentation.

EDB Funding Alignment & Institutional Compliance

Curriculum structure and line-item quotations are designed to align with expenditure categories under the EDB IT Innovation Lab, Knowing More About IT, and AI for Empowering Learning & Teaching funding programmes. Fully documented post-programme evaluation reports delivered within 5 working days.

Live Academic Advisory

Need direct advice? Message our academic director on WhatsApp or WeChat.

WhatsApp