AI Smart Lens Kit — TECHTELLIGENCE

Product Overview

AI Vision Made Simple for the Classroom

The AI Smart Lens Kit packages complex computer vision algorithms into a single plug-and-play module. By abstracting the technical intricacies, students can focus entirely on project conception and creative problem-solving — not hardware wiring or algorithm development.

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7+ Intelligent Vision Modes

Face recognition, colour recognition, card recognition, line tracking, ball recognition, machine learning, and more — all accessible through simple MakeCode block programming.

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RJ11 Plug-and-Play Connection

Connects instantly to Elecfreaks Nezha expansion boards via RJ11 or I²C — no soldering, no complex wiring. An RJ11 to Dupont adapter cable is included for extended compatibility.

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One-Button Machine Learning

Students can train custom AI models with a single button press — teaching the lens to recognise new objects, opening the door to real hands-on machine learning experiences.

Key Characteristics

What Makes It Stand Out

Designed for educational use, the AI Smart Lens Kit brings professional-grade AI capabilities into an approachable, curriculum-ready package.

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Face Recognition & Tracking

Detect and track human faces in real-time. Combine with servos to build dynamic face-following systems — a hands-on introduction to computer vision fundamentals.

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Colour Recognition

Identify specific colours from the environment and trigger responses — drive LED strips, play sounds, or control motors based on what the lens sees.

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Card & Password Recognition

Recognise symbols and character cards from the included 41-card set. Build password-entry systems, card-controlled vehicles, and interactive decision-making projects.

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Line Tracking

Detect and follow lines on a surface — enabling students to build autonomous line-following robots and explore the principles of sensor-based navigation.

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Ball Recognition

Distinguish between coloured balls in the environment. Two balls (red and blue) are included, ready for object-detection challenges and colour-response projects.

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Custom Machine Learning

Train the lens to recognise any object with a single button press. Students experience the full ML loop — data collection, training, and inference — in minutes.

Hardware Setup

Outlook & Connection Diagrams

The AI Smart Lens Kit supports two wiring methods — RJ11 direct connection and RJ11 to Dupont adapter — for maximum compatibility with Elecfreaks expansion boards.

AI Smart Lens Kit outlook and dimensions

Outlook & Dimensions

Physical layout of the AI Smart Lens module — 145mm × 92mm × 40mm — showing port locations and mounting points.

RJ11 to Dupont Connector

When using the RJ11 to Dupont adapter cable, connect to the IIC port on the Nezha expansion board for full I²C communication.

Direct RJ11 Connection

Plug directly into compatible Elecfreaks expansion boards using the included RJ11 cable — instant, tool-free setup with zero wiring required.

Technical Specifications

Full Specifications

AI Smart Lens — Hardware Specs

Product Name	AI Smart Lens
SKU	EF05045
Weight	~170 g
Dimensions	145 × 92 × 40 mm (L×W×H)
Connection Interface	RJ11 / I²C
Operating Voltage	3.3V
Operating Current	300 mA
Core Processor	V831
Coordinate System	Origin at lower-left
X-Axis Range	0 – 224
Y-Axis Range	0 – 224

AI Vision Capabilities

Face Recognition	✓ Real-time detection & tracking
Colour Recognition	✓ Multi-colour identification
Card Recognition	✓ 41 included recognition cards
Line Tracking	✓ Autonomous path following
Ball Recognition	✓ Colour-based ball detection
Machine Learning	✓ One-button custom training
Programming Platform	MakeCode (PlanetX Extension)
Compatible Boards	Nezha Breakout Board (IIC port)
Controller	micro:bit
Firmware Notes	V1.2 and V1.7 non-interchangeable

Classroom Projects

9 Ready-to-Build Cases

From password security systems to autonomous vehicles — each case builds skills progressively, covering AI, electronics, and computational thinking.

Case 01

Password Recognition

Program the AI Lens to recognise a sequence of numbered cards as a password. If the correct cards (0, 4, 9) are shown in order, a smile face appears on the micro:bit — otherwise a sad face displays. Introduces card recognition and conditional logic.

Case 02

Colour-controlled Lights

Connect a PlanetX Rainbow LED Strip and program it to dynamically change colour based on what the AI Lens detects. A real-time colour-matching system that introduces colour recognition and hardware output control.

Case 03

Colour-controlled Piano

Map detected colours to musical notes — the Nezha board's buzzer plays a different sound for each colour recognised by the AI Lens. Combines colour recognition with audio output, teaching event-driven programming.

Case 04

Face-tracked Device

Build a two-axis servo platform that tracks a person's face in real-time. Servo S1 handles horizontal (X) tracking and S2 handles vertical (Y) — creating a responsive face-following system that introduces servo control and spatial coordinates.

Case 05

Find the Bigger Face

Connect a PlanetX OLED display and program the system to detect faces and display their width measurements in real-time. Students learn about bounding boxes, facial detection data, and how AI reports measurement values.

Case 06

Characteristics Acquisition

Experience the full machine learning loop. Press button A to train the lens on Object 1 (ID 1), press button B for Object 2 (ID 2) — then the micro:bit displays the correct ID when trained objects appear. A direct introduction to custom ML training.

Case 07

AI Lens Line Follower Car

Build a brick-based chassis with two high-speed motors and program the car to autonomously follow a line using the AI Lens for visual guidance. Introduces computer vision in robotics, motor control, and autonomous navigation concepts.

Case 08

Balls Recognition

Use the included red and blue balls as inputs — the micro:bit displays a smile face when a blue ball is detected and a sad face for a red ball. A clear, tactile introduction to colour-based object recognition and conditional responses.

Case 09

Control the Car with an Indicator

Build a card-controlled vehicle that reads directional cards to navigate. At a distance it tracks the card's position; up close it reads symbols (turn-right, stop) to execute commands. Without a card, the car moves forward automatically — demonstrating multi-modal vision-based control.

Learning Outcomes

Skills Students Develop

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Artificial Intelligence

Hands-on experience with computer vision, real-time object detection, and custom machine learning model training on physical hardware.

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Block & Python Programming

Build projects using MakeCode's PlanetX extension — mastering conditionals, loops, event-driven programming, and sensor data processing.

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Robotics & Automation

Design and build autonomous vehicles, servo-driven trackers, and sensor-guided robots — applying vision data to real-world physical systems.

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Computational Thinking

Decompose problems into steps, design logic for multi-mode detection, and iterate through the engineering design process across all 9 project cases.

AI Smart
Lens Kit

AI Vision Made Simple for the Classroom

What Makes It Stand Out

Gallery

Outlook & Connection Diagrams

Full Specifications

Packing List

9 Ready-to-Build Cases

Skills Students Develop

Ready to Bring AI Vision to Your Classroom?

AI SmartLens Kit

AI Vision Made Simple for the Classroom

What Makes It Stand Out

Gallery

Outlook & Connection Diagrams

Full Specifications

Packing List

9 Ready-to-Build Cases

Skills Students Develop

Ready to Bring AI Vision to Your Classroom?

AI Smart
Lens Kit