K10 Video Options Viewer

Pan and zoom to explore the wiring. Remix the project to edit it in your own workspace.

1. 01

   Position the UNIHIKER K10

   Place the K10 where its built-in camera has an unobstructed view of the area. Point the camera toward faces, ideally in even indoor light.

   • Tip: Keep faces roughly centered and avoid strong backlighting from a window or lamp behind the person.

   • ⚠ This project performs face detection only; it does not enroll, identify, store, or transmit faces.
2. 02

   Power the board

   Connect the K10 to a stable USB-C power source or to the computer USB port used for deployment. No external camera, display, or jumper wires are required.

   • Tip: The built-in GC2145 camera and LCD are already wired inside the K10.

   • ⚠ Use a known-good USB-C cable and avoid powering the board from an unregulated supply.
3. 03

   Run the face preview

   Use Schematik's Deploy button to build and flash the project. After boot, point the K10 camera at a face; the live preview should show the K10 vision system's green detection rectangle around a detected face.

   • Tip: Stand about an arm's length away first, then adjust distance and lighting if detection is slow.

   • ⚠ Do not use this as a safety, security, access-control, or identity-verification system.

#include <Arduino.h>
#include "unihiker_k10.h"
#include "AIRecognition.h"

// The K10 framework owns the built-in GC2145 camera and LCD.
UNIHIKER_K10 k10;
AIRecognition ai;

static const uint8_t SCREEN_DIRECTION = 2;

void setup() {
  Serial.begin(115200);

  k10.begin();
  k10.initScreen(SCREEN_DIRECTION);

  // Start the K10's built-in vision service before enabling the camera view.
  ai.initAi();
  k10.initBgCamerImage();

  // Keep the preview hidden while the drawing layer is created.
  k10.setBgCamerImage(false);
  k10.creatCanvas();

  // The board's Face mode performs live face detection and draws its
  // colored (normally green) detection rectangle on the camera preview.
  ai.switchAiMode(ai.Face);
  k10.setBgCamerImage(true);

  Serial.println("Live face detection started.");
}

void loop() {
  // The K10 framework delivers camera/AI overlay updates through its LVGL
  // event loop. This services only invalidated screen regions; it does not
  // clear or redraw the live camera image ourselves.
  lv_timer_handler();
  delay(5);
}

“Deploy to device” opens this project in Schematik, where you can flash it to your board over USB.