enorasis-core

Human vision for the BBC micro:bit V2. Connect browser-based machine learning to your MakeCode projects.

This extension requires the micro:bit V2 hardware. micro:bit V2 has more RAM available for user programs when Bluetooth is enabled. On a micro:bit V1 the program will display the 927 error code.

Train image classes in enorasisCore (no install). When the AI recognises what the camera sees, it sends a class label over Bluetooth to your micro:bit. Your blocks turn that label into action — servos, motors, LEDs, and logic.

Product	enorasiscore.eu
License	MIT
Board	BBC micro:bit V2 only
Install	https://github.com/skinformatics/enorasisCore-makecode

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Educational purpose

The micro:bit is excellent for physical computing, but it cannot see objects the way people do. This extension closes that gap for schools:

1. Camera (phone or computer) captures the world.
2. Machine learning in the browser (enorasisCore) classifies images into classes you define.
3. Bluetooth delivers the class name to the micro:bit.
4. MakeCode blocks (this extension) run your response.

The neural network runs in the browser, not on the micro:bit — keeping projects fast, simple, and suitable for classrooms. Students learn the full STEM path: data → train → inference → actuate.

This pattern matches many real systems: smart sensing on a capable device, control on a small board.

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How it works

  Camera          enorasisCore (browser ML)       micro:bit V2
 ┌────────┐       ┌─────────────────────┐        ┌──────────────┐
 │ image  │ Train │ classify → label    │  BLE   │ your blocks  │
 │ input  │ Test  │ e.g. "left", "red"  │ ─────► │ servo, LED…  │
 └────────┘       └─────────────────────┘        └──────────────┘

Protocol (fixed): Nordic UART service; each message is a UTF-8 class name followed by a newline character (\n). Connect only from enorasisCore in Chrome or Edge (Web Bluetooth).

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Install

1. Open makecode.microbit.org.
2. Create a New Project.
3. Open Extensions (gear menu).
4. Paste: https://github.com/skinformatics/enorasisCore-makecode
5. Select enorasis-core.
6. Build your program, Download the .hex, and flash the micro:bit.

macOS users: Project Settings → enable No Pairing Required → Save → Download again.

Workflow: Train classes at enorasiscore.eu → Connect micro:bit → Test → blocks run on each recognised class.

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Blocks reference

Block	Description
start enorasisCore BLE	Start UART service; ready icon on display.
on enorasisCore connected	Runs when enorasisCore connects over Bluetooth.
on enorasisCore disconnected	Runs when Bluetooth disconnects.
on enorasisCore class received	Runs when any class label is received.
on enorasisCore class %className received	Runs when a specific label is received.
last enorasisCore class	Returns the last label (string).
enorasisCore class is %name	Returns true if the last label equals name.

Block help pages: see the docs/ folder (start, last-class, on-class-received, and others).

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Examples

Colours → servo

Train classes red, green, and blue in enorasisCore. Use the same names in MakeCode.

enorasisCore.start()
enorasisCore.onClassReceived("red", function () {
    pins.servoWritePin(AnalogPin.P0, 0)
    basic.showIcon(IconNames.Heart)
})
enorasisCore.onClassReceived("green", function () {
    pins.servoWritePin(AnalogPin.P0, 90)
})
enorasisCore.onClassReceived("blue", function () {
    pins.servoWritePin(AnalogPin.P0, 180)
})

Direction arrows (classroom tested)

Train left, right, and nothing. Verified on BBC micro:bit V2 with enorasisCore BLE.

enorasisCore.start()
enorasisCore.onClassReceived("left", function () {
    pins.servoWritePin(AnalogPin.P0, 0)
    basic.showArrow(ArrowNames.West)
})
enorasisCore.onClassReceived("right", function () {
    pins.servoWritePin(AnalogPin.P0, 180)
    basic.showArrow(ArrowNames.East)
})
enorasisCore.onClassReceived("nothing", function () {
    pins.servoWritePin(AnalogPin.P0, 90)
})

Any class with conditional

enorasisCore.start()
enorasisCore.onAnyClassReceived(function () {
    if (enorasisCore.classIs("stop")) {
        basic.showIcon(IconNames.No)
    }
})

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Dependencies

• core (micro:bit)
• bluetooth (UART service — included automatically)

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Author

skinformatics — enorasisCore browser machine learning platform.

MIT License. See LICENSE.txt.

enorasis-core=github:skinformatics/enorasisCore-makecode

for PXT/microbit