Flint Hardware & Robotics ⚡
Flint Hardware brings declarative Dart, Edge AI computer vision, robotics kinematics, and multi-MCU compilation to embedded systems and robotics. Write firmware, sensor drivers, quantized TFLite inference loops, and swarm mesh telemetry in 100% pure Dart, and export to C99, C++, MicroPython, ROS 2, and instant Wokwi browser circuits.
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🎯 Key Pillars
| Pillar | Description | Supported Targets | | :--- | :--- | :--- | | Universal MCU Target Matrix | Compiles declarative Dart ASTs into optimized C99, register-level drivers, or MicroPython. | ESP32, ESP32-CAM, nRF52840, STM32F4, RP2040 Pico | | Edge AI & Computer Vision | On-board camera driver & quantized TensorFlow Lite Micro tensor arena for real-time vision. | ESP32-CAM (OV2640), ESP32-S3 | | Robotics Kinematics | Differential drives, PWM H-bridge motor controllers, 50Hz radar sweep servos, and encoder odometry. | Autonomous Rovers, Robot Arms | | Sensor Fusion Drivers | Built-in drivers for Sonar, 6-Axis IMU (gyro/accel), climate sensors, I2C, SPI, and UART. | HC-SR04, MPU6050, DHT22, BME280 | | Wireless Swarm Mesh & BLE | P2P self-healing swarm broadcasting and Bluetooth Low Energy battery/device info services. | Multi-Robot Swarms, IoT Nodes | | 1-Click Wokwi & ROS 2 Export | Generates complete Wokwi diagram.json browser circuits and ROS 2 /cmd_vel & /scan nodes. | Instant Browser Simulation & ROS 2 |
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📦 Installation
Add flint_hardware to your Dart project:
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bash
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dart pub add flint_hardware
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💡 Quickstart 1: Edge AI Vision Guard (ESP32-CAM + TFLite Micro)
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dart
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import 'package:flint_hardware/flint_hardware.dart';
void main() {
final visionGuard = FirmwareBuilder('cam_guard', target: BoardTarget.esp32Cam);
// 1. Configure On-Board Camera (OV2640)
visionGuard.camera(
resolution: CameraResolution.qvga,
format: PixelFormat.rgb565,
frameRate: 15,
);
// 2. Load Quantized TFLite Micro Model
final model = visionGuard.tfliteModel(
name: 'person_detect',
assetPath: 'models/person_detect.tflite',
inputShape: const [1, 96, 96, 1],
outputShape: const [1, 2],
quantization: TensorQuantization.int8,
tensorArenaSizeKb: 128,
);
// 3. Real-Time Edge Inference Loop
visionGuard.loop((ctx) {
ctx.log('Running on-device TFLite inference...');
});
}
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💡 Quickstart 2: Autonomous Obstacle Avoidance Rover (ESP32)
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dart
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import 'package:flint_hardware/flint_hardware.dart';
void main() {
final rover = FirmwareBuilder('rover_explorer', target: BoardTarget.esp32);
// 1. Configure Ultrasonic Sonar & 6-Axis IMU
final sonar = rover.sonar(triggerPin: 5, echoPin: 18);
final imu = rover.imu(sdaPin: 21, sclPin: 22);
// 2. Configure 2-Wheel Differential Drive (L298N)
final drive = rover.differentialDrive(
leftPwmPin: 14, leftDirPin: 27,
rightPwmPin: 12, rightDirPin: 26,
);
// 3. Configure 50Hz PWM Radar Servo
final radarServo = rover.pwmOutput(13, frequencyHz: 50);
// 4. Execution Loop
rover.loop((ctx) {
final distanceCm = ctx.readSonar(sonar);
if (distanceCm < 20.0) {
// Obstacle detected: reverse & turn
ctx.setPwm(drive.leftPwmPin, -0.6);
ctx.setPwm(drive.rightPwmPin, 0.6);
} else {
// Clear path: drive forward
ctx.setPwm(drive.leftPwmPin, 0.8);
ctx.setPwm(drive.rightPwmPin, 0.8);
}
});
}
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💡 Quickstart 3: Wireless Swarm Mesh & BLE Telemetry (nRF52840)
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dart
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import 'package:flint_hardware/flint_hardware.dart';
void main() {
final beacon = FirmwareBuilder('swarm_beacon', target: BoardTarget.nrf52840);
// Strongly-typed BLE Services
beacon.bluetooth(
deviceName: 'Flint-Swarm-01',
services: [
BleService.battery(initialLevelPercent: 95),
BleService.deviceInfo(manufacturer: 'Eulogia', model: 'Beacon-X1'),
],
);
// Strongly-typed Swarm Domain & Radio Channel
beacon.meshSwarm(
swarm: SwarmId.robotics,
channel: WifiChannel.ch6,
);
beacon.loop((ctx) {
ctx.log('Broadcasting swarm state packet...');
});
}
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🧪 1-Click Wokwi Browser Simulation & ROS 2 Export
Flint Hardware generates full simulation bundles and ROS 2 publish/subscribe nodes with one method call:
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dart
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import 'dart:io';
import 'package:flint_hardware/flint_hardware.dart';
void main() async {
final rover = FirmwareBuilder('rover_demo', target: BoardTarget.esp32);
rover.sonar(triggerPin: 5, echoPin: 18);
rover.differentialDrive(
leftPwmPin: 14, leftDirPin: 27,
rightPwmPin: 12, rightDirPin: 26,
);
// Export full multi-language simulation bundle
final outputDir = Directory('build/rover_demo');
await rover.exportBundle(outputDir);
print('Simulation bundle created at ${outputDir.path}/');
}
The exported bundle contains:
diagram.json — Auto-wired breadboard circuit with ESP32, HC-SR04 sonar, and DC motors.wokwi.toml — Ready for instant browser simulation in Wokwi.firmware.c / firmware.cpp — Native register-level C99 firmware.ros2node.py — ROS 2 telemetry node publishing /scan and subscribing to /cmdvel.
