T-Bao Quick Start
Required Tools
| Tool | Source |
|---|---|
| kflash_gui | GitHub |
| MaixPy IDE | GitHub |
| Arduino IDE | arduino.cc |
K210 Side (AI / Camera)
- Download MaixPy firmware from the MaixPy releases page
- Flash MaixPy to the K210 using kflash_gui (select the correct COM port and baud rate)
- Open MaixPy IDE, connect to the board, and run Python scripts for camera / face recognition / YOLOv3 tasks
ESP32 Side (Wi-Fi / BLE / Display)
Board Settings
| Setting | Value |
|---|---|
| Board | ESP32 Dev Module |
| Upload Speed | 921600 |
| Flash Mode | QIO |
| Flash Size | 16MB (128Mb) |
| Partition Scheme | 16M Flash (3MB APP/9.9MB FATFS) |
| PSRAM | Enabled |
Steps
- Clone the repository:bash
git clone https://github.com/Xinyuan-LilyGO/LilyGo-K210-Script.git - Open an example sketch in Arduino IDE
- Select the board settings above and click Upload
Peripheral Examples
K210 — Camera + Face Detection (MaixPy)
python
# Run on K210 via MaixPy IDE
import sensor, image, lcd, KPU
lcd.init()
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.run(1)
task = KPU.load(0x300000) # load face detection model from flash
KPU.init_yolo2(task, 0.5, 0.3, 5, [(1.889, 2.5245), (2.9465, 3.94056)])
while True:
img = sensor.snapshot()
code = KPU.run_yolo2(task, img)
if code:
for i in code:
img.draw_rectangle(i.rect())
lcd.display(img)ESP32 — Display (TFT_eSPI)
cpp
#include <TFT_eSPI.h>
TFT_eSPI tft;
void setup() {
tft.begin();
tft.setRotation(1);
tft.fillScreen(TFT_BLACK);
tft.setTextColor(TFT_WHITE, TFT_BLACK);
tft.setTextSize(2);
tft.drawString("T-Bao Ready", 30, 60);
}
void loop() {}ESP32 — UART Bridge to K210
cpp
// K210 communicates with ESP32 via UART: RX=3, TX=1
HardwareSerial k210(2);
void setup() {
Serial.begin(115200);
k210.begin(115200, SERIAL_8N1, 3, 1);
}
void loop() {
if (k210.available()) {
String msg = k210.readStringUntil('\n');
Serial.println("K210: " + msg);
}
}Notes
- Dual-chip: K210 (RISC-V, AI) communicates with ESP32 (Wi-Fi/BLE) via UART
- Camera: OV2640 2 MP with 180° rotation support
- K210 AI: ~0.5 TOPS KPU — capable of YOLOv3, face recognition, and image classification
- PMU: AXP202 power management — controls power rails for both chips
- IMU: MPU6050 6-axis (I²C)
FAQ
Q: K210 not detected by kflash_gui? A: Select the correct COM port and set baud rate to 115200 or 1500000. Ensure the board is in download mode (hold BOOT while connecting).
Q: ESP32 side not uploading? A: Confirm you are connecting to the ESP32 USB port (not the K210 port) and have selected ESP32 Dev Module.
