// main.cpp — esp32-edge-vision
// On-device inference loop · TinyML quantized model
#include <Arduino.h>
#include <esp_camera.h>
#include "tflite_micro/model_runner.h"
#include "drivers/bme280.h"
#include "comms/esp_now_mesh.h"
 
static ModelRunner runner("vision_v3.tflite");
static BME280 env;
static MeshNode mesh(/* channel */ 6);
 
void setup() {
  Serial.begin(921600);
  env.begin(I2C_BUS_0);
  runner.load(/* arena_kb */ 256);
  mesh.join("omniedge.fleet");
}
 
void loop() {
  camera_fb_t* fb = esp_camera_fb_get();
  if (!fb) return;
 
  auto inference = runner.infer(fb->buf, fb->len);
  if (inference.confidence > 0.82f) {
    mesh.broadcast({
      .label = inference.label,
      .conf  = inference.confidence,
      .temp  = env.read_temperature(),
      .ts    = micros(),
    });
  }
  esp_camera_fb_return(fb);
  vTaskDelay(pdMS_TO_TICKS(33)); // ~30 fps
}