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Makerfabs MaTouch ESP32-S3 2,8" kamera ESP32-S3 AI Vision: Namierte kameru a spýtaj sa, čo vidí

Makerfabs MaTouch ESP32-S3 2,8" kamera ESP32-S3 AI Vision: Namierte kameru a spýtaj sa, čo vidí

Doska odfotí, AI opíše, čo vidí, a odpoveď povie nahlas

Namierte fotoaparát na niečo, stlačte tlačidlo a AI vám povie, na čo sa pozerá – vytlačí to na obrazovku a prehrá cez reproduktor. Dva režimy: pomenovanie objektov v zábere alebo opis osoby pred fotoaparátom.

AI Vision - Point It At Something spustené na doske MaTouch AI ESP32-S3 AI Vision – Point It At Something spustené na doske MaTouch AI ESP32-S3

Ako sa obrázok dostane tam

Fotoaparát vytvorí JPEG s rozlíšením 800×600 a veľkosťou približne 20–40 KB. Doska ho zakóduje base64 v PSRAM, čím sa text zväčší približne o tretinu, a vloží ho do požiadavky ako dátové URI. Práve 8 MB PSRAM to umožňuje bez problémov.

Opis, nikdy identifikácia

Režim PERSON opisuje, čo vidí – náladu, okuliare, čo sa zdá, že osoba robí. Nepovie vám, kto niekto je, a to je zámerné. Identifikácia osôb podľa tváre je v rozpore so zásadami používania OpenAI a ekvivalentná služba identifikácie tvárí od Microsoftu je uzamknutá za schvaľovacím procesom, na ktorý sa bežní vývojári jednoducho nemôžu prihlásiť. Akýkoľvek návod, ktorý sľubuje cloudovú identifikáciu tvárí, opisuje niečo, čo nie je všeobecne dostupné.

Ak chcete dosku, ktorá rozpoznáva konkrétne osoby, použite projekt 03b – robí to offline a nikdy nikam neposiela tváre nikoho.

Fotoaparát sa musí zastaviť kvôli sieti

Živý náhľad sa vypne počas odosielania otázky. Nie je to len kozmetická zmena: spustený ovládač fotoaparátu drží internú pamäť, ktorú potrebuje zabezpečené pripojenie, a so spusteným náhľadom pripojenie jednoducho zlyhá. Vypnutie fotoaparátu ju uvoľní. Zároveň to znamená, že odpoveď je čitateľná namiesto toho, aby sa prekresľovala 25-krát za sekundu.

Odpoveď zostane, kým ju neodstránite

Odpoveď zostane na obrazovke, kým neklepnete na CLEAR – žiadny časovač neexistuje. Kým sa zobrazuje, tlačidlo REPLAY prehrá vyslovenú odpoveď znova z pamäte, bez ďalšieho volania API a bez ďalších nákladov.

O doske MaTouch AI ESP32-S3 2.8"

Každý projekt na tejto stránke beží na MaTouch AI ESP32-S3 2.8" TFT ST7789V od Makerfabs. Je to all-in-one doska: farebný dotykový displej, 3 megapixelový fotoaparát, dva mikrofóny a skutočný zosilňovač reproduktora, všetko poháňané ESP32-S3 s 8 MB PSRAM. Práve táto kombinácia umožňuje tieto AI projekty na jednej doske bez čohokoľvek ďalšieho.

8 MB PSRAM je dôležitejších než ktorékoľvek iné číslo tu. Umožňuje doske držať v pamäti súčasne snímku z fotoaparátu, niekoľko sekúnd nahratého zvuku alebo base64 zakódovanú fotografiu – nič z toho sa nezmestí do bežnej RAM ESP32.

Dokumentácia výrobcu: wiki stránka Makerfabs.

Kľúčové špecifikácie

  • Procesor: ESP32-S3, dvojjadrový 240 MHz, WiFi 2.4 GHz + Bluetooth 5.0

  • Pamäť: 16 MB flash, 8 MB PSRAM (vyžadovaná takmer každým projektom tu)

  • Displej: 2.8" IPS, 320×240, ovládač ST7789V, SPI

  • Dotyk: GT911 kapacitný, sleduje 5 prstov naraz

  • Fotoaparát: OV3660, 3 megapixely, až 2048×1536

  • Mikrofóny: dva INMP441 I2S digitálne mikrofóny (skutočný stereo pár)

  • Reproduktor: MAX98357A zosilňovač triedy D, 3.2 W do 4 Ω

  • Úložisko: slot na microSD kartu (režim SPI)

  • Napájanie: USB-C, JST konektor pre batériu, nabíjačka TP4056, vypínač

  • Tiež na doske: WS2812B RGB LED, PCF8563T hodiny reálneho času so zálohou batérie a MAX17048 merač stavu batérie, ktorý nie je uvedený v oficiálnych špecifikáciách

Dva porty USB-C nie sú rovnaké. Reproduktor dosky zdieľa svoje signálové piny (IO19 a IO20) s natívnym USB portom, pretože tieto piny sú pevne zapojené dátové linky USB ESP32-S3. Vždy nahrávajte a napájajte cez CH340K USB-C port (ten vedľa tlačidla RESET) a nastavte USB CDC On Boot na Disabled. Pri použití nesprávneho portu bude zvuk zlyhávať alebo nahrávanie zlyhá.

Nastavenia Arduino IDE

Tieto nastavenia sú dôležité. Väčšina problémov, ktoré ľudia hlásia s touto doskou, je spôsobená jedným z nich a resetujú sa pri zmene verzie jadra, preto ich po každej zmene znova skontrolujte.

Nastavenie

Hodnota

Doska

ESP32S3 Dev Module

Verzia jadra ESP32

2.0.17

PSRAM

OPI PSRAM

Veľkosť flash

16MB (128Mb)

Schéma oddielov

16M Flash (3MB APP/9.9MB FATFS)

USB CDC On Boot

Disabled

Rýchlosť nahrávania

921600

Erase All Flash Before Upload

Disabled

Port

CH340K USB-C port

Použite ESP32 jadro 2.0.17, nie 3.x. Espressif odstránil modely detekcie tvárí na zariadení v jadre 3, takže projekty s tvárami sa tam neskompilujú. Ukotvenie na 2.0.17 zabezpečí, že každý projekt na tejto stránke funguje s jednou konfiguráciou. V Boards Manager vám rozbaľovacia ponuka verzií umožňuje prepínať medzi nimi kedykoľvek chcete.

Použite GFX Library for Arduino verziu 1.5.6, nie 1.6.x. Verzie 1.6 sú vytvorené pre ESP32 core 3 a môžu zavesiť pri štarte na core 2.0.17. Ak vaša obrazovka zostane čierna po nahraní, toto je prvá vec, ktorú treba skontrolovať.

Požadované knižnice

Nainštalujte ich cez Nástroje → Spravovať knižnice v Arduino IDE. Čísla verzií sú dôležité - použite prosím tie, ktoré sú uvedené.

Knižnica

Verzia

Autor

GFX Library for Arduino

1.5.6

moononournation

bb_captouch

1.3.1

Larry Bank

ArduinoJson

7.x

Benoit Blanchon

Adafruit NeoPixel

akákoľvek nedávna

Adafruit

Nastavenie secrets.h

Vaše WiFi údaje a akékoľvek API kľúče idú do secrets.h, ktorý je zahrnutý v stiahnutom súbore s predvolenými hodnotami. Otvorte túto kartu v Arduino IDE a nahraďte ich vlastnými.

WiFi musí byť 2.4 GHz. ESP32-S3 nevidí sieť 5 GHz vôbec. Ak váš router kombinuje obe pásma pod jedným názvom (Asus to nazýva Smart Connect), buď to vypnite, alebo dajte pásmu 2.4 GHz vlastný názov a použite ho v secrets.h.

Získanie vašich API kľúčov

Tento projekt komunikuje s cloudovou AI službou, takže potrebujete vlastný kľúč. Ak ste to nikdy nerobili, nebojte sa - je to rovnaký princíp ako heslo, ktoré identifikuje váš účet pre službu. Trvá to pár minút, raz.

Kľúč nie je predplatné na webovú stránku. Platenie za ChatGPT Plus, napríklad, neznamená, že dostanete API kľúč - tieto dve veci sú samostatné produkty so samostatnou fakturáciou. Potrebujete účet na vývojárskej platforme, ako je popísané nižšie.

OpenAI - oči

OpenAI poskytuje vizuálny model, ktorý sa pozerá na obrázky. Iba projekty, ktoré posielajú obrázok, potrebujú tento.

  1. Prejdite na platform.openai.com/api-keys a prihláste sa alebo vytvorte účet.

  2. Kliknite na Create new secret key, dajte mu názov a vytvorte ho.

  3. Skopírujte ho okamžite - ako pri DeepSeek, zobrazí sa iba raz.

  4. Otvorte Billing a pridajte malý kredit. API je predplatené a oddelené od akéhokoľvek ChatGPT predplatného, ktoré už možno máte.

Vložte kľúč do secrets.h ako OPENAI_KEY.

Microsoft Azure Speech - pre počúvanie a rozprávanie

Azure prevádza vašu reč na text a odpoveď späť na hlas. Bezplatná úroveň je dostatočne štedrá pre všetko na tejto stránke.

  1. Prejdite na portal.azure.com a prihláste sa s Microsoft účtom (bezplatný je v poriadku).

  2. Ak ste Azure nikdy nepoužívali, uvidíte obrazovku Welcome to Azure s tromi možnosťami. Vyberte Start with an Azure free trial - potrebujete predplatné, kým vám Azure dovolí niečo vytvoriť. (Študenti by mali namiesto toho zvoliť Azure for Students: rovnaký výsledok, bez potreby karty.) Ignorujte Manage Microsoft Entra ID, čo je úplne niečo iné.

  3. Kliknite na Create a resource, vyhľadajte Speech a vyberte Speech service publikované spoločnosťou Microsoft.

  4. Vyplňte formulár: akákoľvek skupina zdrojov, akýkoľvek názov a vyberte Región blízko vás - zapíšte si tento región presne tak, ako sa zobrazuje, napríklad eastus.

  5. Pre Pricing tier vyberte F0 (Free). To umožňuje približne päť hodín prevodu reči na text a pol milióna znakov prevodu textu na reč každý mesiac.

  6. Kliknite na Review + create, potom Create. Počkajte asi minútu, potom kliknite na Go to resource.

  7. V ľavom menu otvorte Keys and Endpoint. Skopírujte KEY 1 a Location/Region.

Vložte ich do secrets.h ako AZURE_SPEECH_KEY a AZURE_REGION. Pre AZURE_STT_HOST použite <región>.stt.speech.microsoft.com - takže s regiónom eastus to je eastus.stt.speech.microsoft.com.

O kreditnej karte. Azure bezplatná skúšobná verzia žiada kartu na overenie vašej identity. Neúčtuje vám nič. Dostanete kredit $200 na 30 dní a potom sa účet presunie na Pay-As-You-Go - ale F0 Speech úroveň zostáva bezplatná, mesiac čo mesiac, a všetko v týchto projektoch sa pohodlne zmestí do nej. Ak by ste radšej nedávali kartu vôbec a ste študent, možnosť Azure for Students vám dá kredit bez nej.

Musí to byť zdroj "Speech service". Kľúč z Translator, Language alebo všeobecného Cognitive Services zdroja vyzerá identicky a je úplne platný - ale každá požiadavka na reč vráti chybu 401. Toto nás chytilo počas testovania a stálo to hodinu. Ak reč zlyhá s 401, zatiaľ čo kľúč vyzerá správne, skontrolujte, aký druh zdroja ste vytvorili.

Koľko to stojí na prevádzku

Veľmi málo, ale nie je to zadarmo, a mali by ste približne vedieť, čo míňate, skôr než necháte projekt bežať.

Služba

Približná cena

Azure Speech

bezplatná úroveň pokrýva približne 5 hodín počúvania a 0,5 M znakov hovorenia za mesiac

DeepSeek

zlomok centu za odpoveď – tisíce odpovedí za pár dolárov

OpenAI vision

približne cent alebo dva za obrázok, v závislosti od modelu

Ceny sa menia, takže to berte ako orientačný prehľad, nie ako cenovú ponuku. Každá z týchto služieb má stránku s využitím, kde môžete sledovať, koľko ste minuli, a všetky vám umožňujú nastaviť limit výdavkov – čo sa oplatí urobiť hneď prvý deň.

Chráňte svoje kľúče. Každý, kto ich má, môže míňať vaše peniaze. Nevkladajte ich do videa, snímky obrazovky, príspevku na fóre ani do verejného úložiska kódu. Ak je kľúč niekedy odhalený, vymažte ho na webovej stránke poskytovateľa a vytvorte nový – trvá to sekundy a je to jediné skutočné riešenie.

Riešenie problémov

Príznak

Príčina a oprava

Obrazovka zostáva čierna

Nesprávna verzia knižnice GFX (použite 1.5.6) alebo nesprávne nastavenia dosky.

PSRAM alloc failed alebo chyba kamery 0xffffffff

Tools → PSRAM nie je nastavené na OPI PSRAM.

Nič sa nenahrá / žiadny COM port

Nesprávny port USB-C alebo nie je nainštalovaný ovládač CH340.

Kamera zlyhá a nikdy sa nezotaví

Resetovací vodič kamery je pripojený k tlačidlu RESET na doske, takže softvér ju nemôže reštartovať. Stlačte RESET. Ak stále zlyháva, znova zasuňte plochý kábel kamery.

Stiahnite si kód

Kompletný Arduino náčrt pre tento projekt spolu s pins.h a všetkým ostatným, čo potrebuje, je k dispozícii na stiahnutie zadarmo.

Stiahnuť 05_Vision_AI

Rozbaľte ho, otvorte súbor .ino v Arduino IDE, skontrolujte vyššie uvedené nastavenia a nahrajte cez port CH340K USB-C.

885-Arduin code for MaTouch AI ESP32S3 2.8in AI Camera: AI Vision
Jazyk: C++
/*
 * ===========================================================================
 *  05_Vision_AI  —  MaTouch AI ESP32-S3 2.8" TFT ST7789V
 * ===========================================================================
 *
 ----------
 *  ROBOJAX.COM  -  MaTouch AI ESP32-S3 2.8" project series
 *
 *    WATCH THE VIDEO
 *        https://youtu.be/6AL3g3tC_Hk
 *
 *    WRITTEN TUTORIALS - every project, with photos and full explanation
 *        Camera and touchscreen.... https://robojax.com/RTJ849
 *        Offline face recognition.. https://robojax.com/RTJ850
 *        AI voice assistant........ https://robojax.com/RTJ851
 *        AI vision................. https://robojax.com/RTJ852
 *
 *    GET THE BOARD - SAVE $5 with coupon code:  Robojax_Makerfab
 *        https://www.makerfabs.com/matouch-ai-esp32s3-2-8-tft-st7789v.html
 *        (enter the code at checkout)
 *
 *  All of this code is free. If it helped you, a subscribe on YouTube is
 *  the best way to support more of it.
 *  
 *
 *  Watching the video first will save you time - it shows the Arduino IDE
 *  settings and the library versions being set up step by step.
 *  ---------------------------------------------------------------------------
 *
 *  The board SEES. Point the camera at something, touch a button, and an
 *  OpenAI vision model tells you what it is looking at - drawn on the screen
 *  and (optionally) spoken out of the board's own speaker via Azure TTS.
 *
 *  Two modes, two buttons:
 *
 *      OBJECTS   "What do you see?" - names the things in front of the lens.
 *      PERSON    Describes the person in frame: glasses, expression, what
 *                they are doing. DESCRIPTION ONLY - it will not and must not
 *                try to say WHO someone is. Identifying people by face is
 *                against OpenAI's usage policies, and it is the right call:
 *                say this in the video, it is worth 15 honest seconds.
 *
 *  WHY OPENAI FOR THIS DEMO AND NOT DEEPSEEK: DeepSeek's API is text-only.
 *  It cannot accept an image at all. Azure OpenAI could do it, but plain
 *  OpenAI is one endpoint with no deployment setup - simplest to follow.
 *
 *  HOW THE IMAGE TRAVELS: the OV3660 gives us a JPEG directly (800x600,
 *  ~40 KB). We base64-encode it in PSRAM (~55 KB of text) and embed it in
 *  the JSON request as a data: URI. The 8 MB PSRAM makes this trivial.
 *
 *  ---------------------------------------------------------------------------
 *  FILL IN secrets.h BEFORE FLASHING
 *  (needs WIFI_*, OPENAI_*; AZURE_* only if SPEAK_REPLIES is 1).
 *
 *  BOARD SETTINGS (Tools menu - EVERY line matters, wrong = black screen
 *  or compile errors. These reset when you switch cores - recheck them!)
 *
 *      Board            : ESP32S3 Dev Module
 *      ESP32 core       : 2.0.17
 *      PSRAM            : OPI PSRAM        <-- required, image buffers live there
 *      Flash Size       : 16MB (128Mb)
 *      Partition Scheme : 16M Flash (3MB APP/9.9MB FATFS)
 *      USB CDC On Boot  : Disabled         <-- speaker shares pins with native USB
 *      Upload Speed     : 921600
 *      Port             : the CH340K USB-C port (the one near RESET)
 *
 *  LIBRARIES
 *      GFX Library for Arduino   v1.5.6   (NOT 1.6.x - that pairs with core 3)
 *      bb_captouch               v1.3.1
 *      ArduinoJson               v7.x
 *      Adafruit NeoPixel         any recent
 *
 *  ---------------------------------------------------------------------------
 *  FUNCTIONS IN THIS SKETCH
 *      led(r,g,b)          set the RGB status LED colour
 *      getTouch(&x,&y)     read the touch panel, mapped to screen coordinates
 *      camStart(...)       start the camera in a given format/size
 *      camStartPreview()   start the 240x240 RGB565 live-view camera
 *      captureJpeg(&len)   take one 800x600 JPEG into PSRAM (camera stays OFF
 *                          afterwards - caller restarts the preview)
 *      readHttpResponse()  read an HTTPS reply, de-chunking it properly
 *      askVision(...)      send photo + prompt to OpenAI, return the answer
 *      spkInit()           configure the I2S speaker output
 *      readExact(...)      read exactly N bytes from a TLS connection
 *      speak(text)         Azure TTS -> download voice to PSRAM -> play it
 *      playLastAnswer()    replay the kept voice from PSRAM (REPLAY button)
 *      drawButton(...)     draw one side-column button
 *      drawWifi()          WiFi signal bars + dBm readout
 *      drawButtons()       normal side column (the two ask buttons)
 *      drawClearSide()     answer-mode side column (CLEAR + REPLAY)
 *      showAnswer(text)    word-wrapped answer overlay on the viewfinder
 *      lookAndTell(...)    one full cycle: capture -> ask -> show -> speak
 *      setup() / loop()    boot sequence / viewfinder + touch handling
 *
 *  Robojax.com
 * ===========================================================================
 */

#define SPEAK_REPLIES  1     // 1 = read the answer aloud with Azure TTS, 0 = screen only

/* Status LED brightness, 0-255. The WS2812 runs from the power rail and is
 * uncomfortably bright at full power - 25 is plenty visible on camera. */
#define LED_BRIGHTNESS 15

/* CAMERA ORIENTATION
 * 1 = camera faces the SAME way as the screen (how the board ships) - the
 *     image is mirrored so it looks natural when you point it at yourself.
 * 0 = you folded the ribbon so the lens faces AWAY from the screen
 *     (phone-style, screen to you / camera to the subject).
 * If the picture looks left-right reversed, flip this number. */
#define CAMERA_FACES_USER  1

#include <Arduino_GFX_Library.h>
#include <bb_captouch.h>
#include <Adafruit_NeoPixel.h>
#include <ArduinoJson.h>
#include <Wire.h>
#include <WiFi.h>
#include <WiFiClientSecure.h>
#include <HTTPClient.h>
#include "mbedtls/base64.h"
#include "esp_camera.h"
#include "pins.h"
#include "secrets.h"

#if SPEAK_REPLIES
#include "driver/i2s.h"
#define WAV_HEADER_LEN 44
#endif

Arduino_ESP32SPI *bus = new Arduino_ESP32SPI(
    TFT_DC, TFT_CS, TFT_SCLK, TFT_MOSI, TFT_MISO, HSPI, true);
Arduino_GFX *gfx = new Arduino_ST7789(bus, TFT_RES, 1, true);

BBCapTouch bbct;
Adafruit_NeoPixel rgb(RGB_LED_NUM, RGB_LED_PIN, NEO_GRB + NEO_KHZ800);

/* --- the two vision prompts ------------------------------------------------
 * Keep answers short: they must fit a 320x240 screen and, if spoken, must not
 * leave the presenter waiting awkwardly on camera. */
const char *PROMPT_OBJECTS =
    "Look at this photo from a small camera. In ONE short sentence of at most "
    "20 words, plain text only, name the main object(s) you see.";

const char *PROMPT_PERSON =
    "Look at this photo. If there is a person, describe them in ONE short "
    "sentence of at most 20 words: mood, glasses or not, what they are doing. "
    "Never guess who they are. If no person is visible, say so. Plain text only.";

/* --- layout: viewfinder left, buttons right ------------------------------- */
#define BTN_X   242
#define BTN_W    78
#define BTN_H    52
#define BTN_OBJ_Y     4
#define BTN_PERSON_Y 62

void led(uint8_t r, uint8_t g, uint8_t b) { rgb.setPixelColor(0, rgb.Color(r, g, b)); rgb.show(); }


/* ===========================================================================
 *  Touch
 * =========================================================================== */
bool getTouch(uint16_t *x, uint16_t *y) {
  TOUCHINFO ti;
  if (!bbct.getSamples(&ti)) return false;
  if (ti.count < 1) return false;
  *x = ti.y[0];
  *y = (ti.x[0] > 240) ? 0 : (240 - ti.x[0]);
  return true;
}


/* ===========================================================================
 *  Camera  —  RGB565 for the live view; JPEG capture happens by restarting
 *  the driver, same technique as sketch 02.
 * =========================================================================== */
bool mirrored = CAMERA_FACES_USER;   // see the define at the top of the file

/* The viewfinder is OFF while a cloud call runs and while the answer is on
 * screen. Two reasons, both learned on the bench:
 *  1. RAM: the live camera driver eats the internal memory a TLS handshake
 *     needs - with the preview running, connecting to OpenAI fails (HTTP -1).
 *  2. Readability: the viewfinder repaints 25x/s and would wipe the answer.
 * The answer STAYS on screen until the user taps CLEAR - no timer. */
bool preview_on = false;

/* The last spoken answer is KEPT in PSRAM so the REPLAY button can play it
 * again without another cloud call. Overwritten by the next answer. */
uint8_t *last_audio = nullptr;
size_t   last_audio_len = 0;

bool camStart(pixformat_t fmt, framesize_t size, int fb_count, int quality) {
  camera_config_t c;
  c.ledc_channel = LEDC_CHANNEL_0;
  c.ledc_timer   = LEDC_TIMER_0;
  c.pin_d0 = CAM_PIN_D0;  c.pin_d1 = CAM_PIN_D1;
  c.pin_d2 = CAM_PIN_D2;  c.pin_d3 = CAM_PIN_D3;
  c.pin_d4 = CAM_PIN_D4;  c.pin_d5 = CAM_PIN_D5;
  c.pin_d6 = CAM_PIN_D6;  c.pin_d7 = CAM_PIN_D7;
  c.pin_xclk     = CAM_PIN_XCLK;
  c.pin_pclk     = CAM_PIN_PCLK;
  c.pin_vsync    = CAM_PIN_VSYNC;
  c.pin_href     = CAM_PIN_HREF;
  /* Share the I2C bus Wire already drives (the touch panel lives there too)
   * instead of letting the camera install a second driver on the same pins -
   * that kills touch. Wire.begin() must run before this function. */
  c.pin_sccb_sda = -1;
  c.pin_sccb_scl = -1;
  c.sccb_i2c_port = 0;               // Wire = I2C port 0
  c.pin_pwdn     = CAM_PIN_PWDN;
  c.pin_reset    = CAM_PIN_RESET;
  c.xclk_freq_hz = 20000000;
  c.frame_size   = size;
  c.pixel_format = fmt;
  c.grab_mode    = CAMERA_GRAB_WHEN_EMPTY;
  c.fb_location  = CAMERA_FB_IN_PSRAM;
  c.jpeg_quality = quality;
  c.fb_count     = fb_count;

  if (esp_camera_init(&c) != ESP_OK) return false;

  sensor_t *s = esp_camera_sensor_get();
  if (s) {
    s->set_hmirror(s, mirrored ? 1 : 0);
    s->set_vflip(s,   mirrored ? 1 : 0);
    s->set_brightness(s, 1);
  }
  return true;
}

bool camStartPreview() { return camStart(PIXFORMAT_RGB565, FRAMESIZE_240X240, 2, 12); }

/* Capture one SVGA JPEG into a PSRAM buffer the caller owns. */
uint8_t *captureJpeg(size_t *len_out) {
  esp_camera_deinit();
  delay(120);
  if (!camStart(PIXFORMAT_JPEG, FRAMESIZE_SVGA, 1, 12)) { *len_out = 0; return nullptr; }

  // a few warm-up frames so exposure settles
  for (int i = 0; i < 3; i++) {
    camera_fb_t *w = esp_camera_fb_get();
    if (w) esp_camera_fb_return(w);
    delay(100);
  }

  uint8_t *copy = nullptr;
  *len_out = 0;
  camera_fb_t *fb = esp_camera_fb_get();
  if (fb && fb->len > 0) {
    copy = (uint8_t *)ps_malloc(fb->len);
    if (copy) { memcpy(copy, fb->buf, fb->len); *len_out = fb->len; }
  }
  if (fb) esp_camera_fb_return(fb);

  /* Deliberately leave the camera OFF here. The caller restarts the preview
   * after the cloud call - a running camera driver starves the TLS handshake
   * of internal RAM (that was the "Vision HTTP -1" bug). */
  esp_camera_deinit();
  delay(120);
  return copy;
}


/* ===========================================================================
 *  HTTP response reader  —  shared by the cloud calls below.
 *  Returns the status code and fills body_out. Handles chunked transfer
 *  encoding PROPERLY: the chunk-size markers must be stripped, or they end
 *  up embedded inside the JSON and the parse fails. (OpenAI pretty-prints
 *  its replies so they span several chunks - this bit us on the bench.)
 * =========================================================================== */
/* Block until the connection has data (or the budget runs out). Every read
 * below goes through this, because the server can go quiet for many seconds
 * while it analyses the image - and a bare read() would simply time out. */
static bool waitData(WiFiClientSecure &c, uint32_t ms) {
  uint32_t t0 = millis();
  while (!c.available()) {
    if (!c.connected()) return false;
    if (millis() - t0 > ms) return false;
    delay(10);
  }
  return true;
}

static int readHttpResponse(WiFiClientSecure &client, String &body_out, uint32_t idle_ms) {
  body_out = "";

  if (!waitData(client, idle_ms)) { Serial.println("HTTP: no response at all"); return 0; }
  String status_line = client.readStringUntil('\n');
  int code = 0;
  sscanf(status_line.c_str(), "HTTP/%*s %d", &code);

  bool chunked = false;
  while (waitData(client, idle_ms)) {
    String h = client.readStringUntil('\n');
    if (h == "\r" || h.length() <= 1) break;         // blank line = end of headers
    h.toLowerCase();
    if (h.startsWith("transfer-encoding:") && h.indexOf("chunked") >= 0) chunked = true;
  }

  if (chunked) {
    int blanks = 0;
    while (true) {
      /* Waiting here - instead of letting read() time out - is essential: a
       * timed-out read looks exactly like "0" (final chunk), which silently
       * truncates the body to nothing while the server is still thinking. */
      if (!waitData(client, idle_ms)) {
        Serial.println("HTTP: timed out waiting for the next chunk");
        break;
      }
      String szline = client.readStringUntil('\n');
      szline.trim();
      if (szline.length() == 0) {
        if (++blanks > 4) break;
        continue;
      }
      blanks = 0;

      long sz = strtol(szline.c_str(), NULL, 16);
      if (sz <= 0) break;                            // genuine final chunk

      long got = 0;
      while (got < sz) {
        if (!waitData(client, idle_ms)) break;
        while (client.available() && got < sz) { body_out += (char)client.read(); got++; }
      }
      if (waitData(client, 3000)) client.readStringUntil('\n');
      if (got < sz) { Serial.println("HTTP: short chunk"); break; }
    }
  } else {
    while (waitData(client, idle_ms))
      while (client.available()) body_out += (char)client.read();
  }
  return code;
}


/* ===========================================================================
 *  OpenAI vision call
 *  The request body is built by hand in PSRAM rather than through ArduinoJson,
 *  because embedding a 55 KB base64 string in a JSON document would mean
 *  holding two copies. Base64 text never needs JSON escaping, so this is safe.
 * =========================================================================== */
bool askVision(const uint8_t *jpg, size_t jpg_len, const char *prompt, String &answer_out) {
  // --- base64 encode the image into PSRAM ---
  size_t b64_cap = ((jpg_len + 2) / 3) * 4 + 16;
  unsigned char *b64 = (unsigned char *)ps_malloc(b64_cap);
  if (!b64) return false;
  size_t b64_len = 0;
  if (mbedtls_base64_encode(b64, b64_cap, &b64_len, jpg, jpg_len) != 0) {
    free(b64);
    return false;
  }

  // --- assemble the JSON request around it ---
  /* Current OpenAI models reject the old "max_tokens" name - it must be
   * "max_completion_tokens" (verified against the live API, July 2026). */
  const char *head_fmt =
      "{\"model\":\"%s\",\"max_completion_tokens\":%d,\"messages\":[{\"role\":\"user\","
      "\"content\":[{\"type\":\"text\",\"text\":\"%s\"},"
      "{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/jpeg;base64,";
  const char *tail = "\"}}]}]}";

  char head[640];
  int head_len = snprintf(head, sizeof(head), head_fmt, OPENAI_MODEL, LLM_MAX_TOKENS, prompt);

  size_t body_len = head_len + b64_len + strlen(tail);
  char *body = (char *)ps_malloc(body_len + 1);
  if (!body) { free(b64); return false; }
  memcpy(body, head, head_len);
  memcpy(body + head_len, b64, b64_len);
  strcpy(body + head_len + b64_len, tail);
  free(b64);

  // --- send it: manual HTTP, chunk-wise upload (proven pattern from 04) ---
  WiFiClientSecure client;
  client.setInsecure();
  client.setTimeout(25);

  if (!client.connect(OPENAI_HOST, 443)) {
    Serial.println("Vision: TLS connect failed (is the camera still running?)");
    free(body);
    return false;
  }

  client.print(String("POST /v1/chat/completions HTTP/1.1\r\n"
               "Host: " OPENAI_HOST "\r\n"
               "Authorization: Bearer " OPENAI_KEY "\r\n"
               "Content-Type: application/json\r\n"
               "Connection: close\r\n"
               "Content-Length: ") + String(body_len) + "\r\n\r\n");

  size_t sent = 0;
  while (sent < body_len) {
    size_t n = min((size_t)4096, body_len - sent);
    size_t w = client.write((uint8_t *)body + sent, n);
    if (w == 0) {
      delay(50);
      w = client.write((uint8_t *)body + sent, n);
      if (w == 0) break;
    }
    sent += w;
    yield();
  }
  free(body);
  if (sent < body_len) {
    Serial.printf("Vision: upload stalled at %u/%u bytes\n",
                  (unsigned)sent, (unsigned)body_len);
    client.stop();
    return false;
  }

  /* read the reply with proper de-chunking */
  String resp;
  int code = readHttpResponse(client, resp, 30000);
  client.stop();

  if (code != 200) {
    Serial.printf("Vision HTTP %d: %s\n", code, resp.c_str());
    return false;
  }

  bool ok = false;
  JsonDocument doc;
  if (!deserializeJson(doc, resp)) {
    const char *content = doc["choices"][0]["message"]["content"];
    if (content) {
      answer_out = String(content);
      answer_out.trim();
      ok = answer_out.length() > 0;
    }
  } else {
    Serial.printf("Vision: JSON parse failed, %u bytes received\n", resp.length());
  }
  return ok;
}


/* ===========================================================================
 *  Azure TTS  —  same streaming trick as sketch 04: raw PCM into I2S.
 * =========================================================================== */
#if SPEAK_REPLIES
void spkInit() {
  i2s_config_t cfg = {
    .mode = (i2s_mode_t)(I2S_MODE_MASTER | I2S_MODE_TX),
    .sample_rate = 16000,
    .bits_per_sample = I2S_BITS_PER_SAMPLE_16BIT,
    .channel_format = I2S_CHANNEL_FMT_ONLY_LEFT,
    .communication_format = I2S_COMM_FORMAT_STAND_I2S,
    .intr_alloc_flags = ESP_INTR_FLAG_LEVEL1,
    .dma_buf_count = 8,
    .dma_buf_len = 256,
    .use_apll = false,
    .tx_desc_auto_clear = true,
    .fixed_mclk = 0
  };
  i2s_pin_config_t pins = {
    .mck_io_num = I2S_PIN_NO_CHANGE,
    .bck_io_num = I2S_SPK_BCLK,
    .ws_io_num = I2S_SPK_LRC,
    .data_out_num = I2S_SPK_DOUT,
    .data_in_num = I2S_PIN_NO_CHANGE
  };
  i2s_driver_install(I2S_SPK_PORT, &cfg, 0, NULL);
  i2s_set_pin(I2S_SPK_PORT, &pins);
  i2s_zero_dma_buffer(I2S_SPK_PORT);
}

/* Read exactly n bytes from a client (or until timeout). */
static size_t readExact(WiFiClientSecure &c, uint8_t *dst, size_t n) {
  size_t got = 0;
  uint32_t t0 = millis();
  while (got < n && millis() - t0 < 10000) {
    int r = c.read(dst + got, n - got);
    if (r > 0) { got += r; t0 = millis(); }
    else if (!c.connected() && !c.available()) break;
    else delay(2);
  }
  return got;
}

void playLastAnswer();   // defined below; explicit prototype for the IDE

void speak(const String &text) {
  String safe = text;
  safe.replace("&", "&amp;");
  safe.replace("<", "&lt;");
  safe.replace(">", "&gt;");
  String ssml = "<speak version='1.0' xml:lang='" AZURE_TTS_LANG "'>"
                "<voice name='" AZURE_TTS_VOICE "'>" + safe + "</voice></speak>";

  /* Manual HTTP with proper de-chunking: Azure sends this audio chunked, and
   * HTTPClient's raw stream leaks the ASCII chunk-size lines into the PCM -
   * each one plays as an audible KNOCK. */
  WiFiClientSecure client;
  client.setInsecure();
  client.setTimeout(20);

  const char *host = AZURE_REGION ".tts.speech.microsoft.com";
  if (!client.connect(host, 443)) { Serial.println("TTS: TLS connect failed"); return; }

  client.print(String("POST /cognitiveservices/v1 HTTP/1.1\r\n"
               "Host: ") + host + "\r\n"
               "Ocp-Apim-Subscription-Key: " AZURE_SPEECH_KEY "\r\n"
               "Content-Type: application/ssml+xml\r\n"
               "X-Microsoft-OutputFormat: riff-16khz-16bit-mono-pcm\r\n"
               "User-Agent: MaTouchRobojax\r\n"
               "Connection: close\r\n"
               "Content-Length: " + String(ssml.length()) + "\r\n\r\n");
  client.print(ssml);

  String status_line = client.readStringUntil('\n');
  int code = 0;
  sscanf(status_line.c_str(), "HTTP/%*s %d", &code);
  bool chunked = false;
  long content_len = -1;
  while (client.connected() || client.available()) {
    String h = client.readStringUntil('\n');
    if (h == "\r" || h.length() <= 1) break;
    h.toLowerCase();
    if (h.startsWith("transfer-encoding:") && h.indexOf("chunked") >= 0) chunked = true;
    if (h.startsWith("content-length:")) content_len = h.substring(15).toInt();
  }
  if (code != 200) { Serial.printf("TTS HTTP %d\n", code); client.stop(); return; }

  const size_t AUDIO_CAP = 1200 * 1024;
  uint8_t *audio = (uint8_t *)ps_malloc(AUDIO_CAP);
  if (!audio) { client.stop(); return; }
  size_t alen = 0;

  if (chunked) {
    while (true) {
      String szline = client.readStringUntil('\n');
      long sz = strtol(szline.c_str(), NULL, 16);
      if (sz <= 0) break;
      if (alen + sz > AUDIO_CAP) break;
      size_t got = readExact(client, audio + alen, sz);
      alen += got;
      client.readStringUntil('\n');
      if (got < (size_t)sz) break;
    }
  } else if (content_len > 0) {
    alen = readExact(client, audio, min((size_t)content_len, AUDIO_CAP));
  } else {
    uint32_t idle = millis();
    while ((client.connected() || client.available()) && millis() - idle < 5000) {
      int r = client.read(audio + alen, min((size_t)2048, AUDIO_CAP - alen));
      if (r > 0) { alen += r; idle = millis(); }
      else delay(5);
    }
  }
  client.stop();

  if (alen > WAV_HEADER_LEN) {
    /* keep this answer for the REPLAY button (replacing the previous one),
     * then play it */
    if (last_audio) free(last_audio);
    last_audio = audio;
    last_audio_len = alen;
    playLastAnswer();
  } else {
    free(audio);
  }
}

/* Play the kept answer from PSRAM - used right after download AND by REPLAY. */
void playLastAnswer() {
  if (!last_audio || last_audio_len <= WAV_HEADER_LEN) return;
  static const uint8_t lead_in[640] = {0};     // 20 ms silence pre-roll
  size_t w = 0;
  i2s_write(I2S_SPK_PORT, lead_in, sizeof(lead_in), &w, portMAX_DELAY);
  i2s_write(I2S_SPK_PORT, last_audio + WAV_HEADER_LEN,
            last_audio_len - WAV_HEADER_LEN, &w, portMAX_DELAY);
  i2s_write(I2S_SPK_PORT, lead_in, sizeof(lead_in), &w, portMAX_DELAY);
  delay(150);
  i2s_zero_dma_buffer(I2S_SPK_PORT);
}
#endif  // SPEAK_REPLIES


/* ===========================================================================
 *  UI
 * =========================================================================== */
void drawButton(int y, const char *l1, const char *l2, uint16_t colour) {
  gfx->fillRoundRect(BTN_X, y, BTN_W, BTN_H, 6, colour);
  gfx->drawRoundRect(BTN_X, y, BTN_W, BTN_H, 6, WHITE);
  gfx->setTextSize(1);
  gfx->setTextColor(WHITE);
  gfx->setCursor(BTN_X + 8, y + 14);
  gfx->print(l1);
  gfx->setCursor(BTN_X + 8, y + 28);
  gfx->print(l2);
}

/* WiFi bars + dBm at the bottom of the side column, refreshed from the loop */
void drawWifi() {
  gfx->fillRect(BTN_X, 188, BTN_W, 52, BLACK);
  bool up = (WiFi.status() == WL_CONNECTED);
  long rssi = up ? WiFi.RSSI() : -100;
  int bars = rssi > -55 ? 4 : rssi > -65 ? 3 : rssi > -75 ? 2 : rssi > -85 ? 1 : 0;

  for (int b = 0; b < 4; b++) {
    int bh = 6 + b * 6;
    uint16_t col = (b < bars) ? GREEN : gfx->color565(60, 60, 60);
    gfx->fillRect(BTN_X + 4 + b * 9, 216 - bh, 7, bh, col);
  }
  gfx->setTextSize(1);
  gfx->setCursor(BTN_X + 44, 196);
  if (up) {
    gfx->setTextColor(CYAN);
    gfx->printf("%ld", rssi);
  } else {
    gfx->setTextColor(RED);
    gfx->print("DOWN");
  }
  gfx->setCursor(BTN_X + 44, 208);
  gfx->setTextColor(gfx->color565(120, 120, 120));
  gfx->print("dBm");
  gfx->setCursor(BTN_X + 4, 228);
  gfx->setTextColor(gfx->color565(120, 120, 120));
  gfx->print("WiFi signal");
}

/* normal side column: the two ask buttons */
void drawButtons() {
  gfx->fillRect(BTN_X, 0, BTN_W, 188, BLACK);
  drawButton(BTN_OBJ_Y,    "WHAT DO",  "YOU SEE?", gfx->color565(0, 90, 160));
  drawButton(BTN_PERSON_Y, "DESCRIBE", "PERSON",   gfx->color565(120, 60, 140));

  gfx->setTextColor(CYAN);
  gfx->setCursor(BTN_X + 2, 128);
  gfx->print("OpenAI eyes");
  gfx->setCursor(BTN_X + 2, 140);
  gfx->print("Azure voice");
  gfx->setCursor(BTN_X + 2, 152);
  gfx->print("Robojax.com");

  drawWifi();
}

/* answer-mode side column: CLEAR (back to camera) + REPLAY (say it again).
 * The answer stays on screen until CLEAR is tapped. */
void drawClearSide() {
  gfx->fillRect(BTN_X, 0, BTN_W, 188, BLACK);
  gfx->fillRoundRect(BTN_X, BTN_OBJ_Y, BTN_W, BTN_H, 6, gfx->color565(110, 35, 35));
  gfx->drawRoundRect(BTN_X, BTN_OBJ_Y, BTN_W, BTN_H, 6, WHITE);
  gfx->setTextSize(2);
  gfx->setTextColor(WHITE);
  gfx->setCursor(BTN_X + 10, BTN_OBJ_Y + 14);
  gfx->print("CLEAR");

#if SPEAK_REPLIES
  if (last_audio_len > 0) {
    gfx->fillRoundRect(BTN_X, BTN_PERSON_Y, BTN_W, BTN_H, 6, gfx->color565(0, 110, 60));
    gfx->drawRoundRect(BTN_X, BTN_PERSON_Y, BTN_W, BTN_H, 6, WHITE);
    gfx->setTextSize(1);
    gfx->setTextColor(WHITE);
    gfx->setCursor(BTN_X + 16, BTN_PERSON_Y + 20);
    gfx->print("REPLAY");
  }
#endif

  gfx->setTextSize(1);
  gfx->setTextColor(YELLOW);
  gfx->setCursor(BTN_X + 2, 124);
  gfx->print("CLEAR = camera");
  gfx->setCursor(BTN_X + 2, 136);
  gfx->print("REPLAY = again");

  drawWifi();
}

/* Word-wrapped answer overlay across the bottom of the viewfinder. */
void showAnswer(const String &text) {
  const int max_chars = 38;
  int lines = (text.length() + max_chars - 1) / max_chars;
  if (lines > 6) lines = 6;
  int h = lines * 10 + 8;
  int y = 240 - h;

  gfx->fillRect(0, y, 240, h, gfx->color565(0, 0, 0));
  gfx->drawRect(0, y, 240, h, CYAN);
  gfx->setTextSize(1);
  gfx->setTextColor(WHITE);
  for (int i = 0; i < lines; i++) {
    gfx->setCursor(4, y + 5 + i * 10);
    gfx->print(text.substring(i * max_chars, min((int)text.length(), (i + 1) * max_chars)));
  }
}


/* ===========================================================================
 *  One full "look and tell" cycle
 * =========================================================================== */
void lookAndTell(const char *prompt, const char *label) {
  led(255, 120, 0);                                        // amber: working
  preview_on = false;                                      // camera goes OFF here

  gfx->fillRect(0, 0, 240, 240, BLACK);
  gfx->setTextColor(YELLOW);
  gfx->setTextSize(1);
  gfx->setCursor(30, 110);
  gfx->printf("capturing photo (%s)...", label);

  size_t jpg_len = 0;
  uint32_t t_cap = millis();
  uint8_t *jpg = captureJpeg(&jpg_len);
  t_cap = millis() - t_cap;

  if (!jpg || jpg_len == 0) {
    if (jpg) free(jpg);
    showAnswer("Capture failed - tap CLEAR to retry.");
    led(255, 0, 0);
    drawClearSide();
    return;
  }
  Serial.printf("Captured %u KB in %lu ms\n", (unsigned)(jpg_len / 1024), (unsigned long)t_cap);

  gfx->setCursor(30, 124);
  gfx->printf("asking OpenAI (%uKB)...", (unsigned)(jpg_len / 1024));

  String answer;
  uint32_t t_ai = millis();
  bool ok = askVision(jpg, jpg_len, prompt, answer);
  t_ai = millis() - t_ai;
  free(jpg);

  if (!ok) {
    showAnswer("No answer - see serial monitor for the reason.");
    led(255, 0, 0);
    drawClearSide();
    return;
  }

  Serial.printf("Vision (%lu ms): %s\n", (unsigned long)t_ai, answer.c_str());
  showAnswer(answer);
  drawClearSide();                                         // CLEAR replaces the ask buttons

#if SPEAK_REPLIES
  led(0, 255, 40);                                         // green: speaking
  speak(answer);                                           // answer stays on screen
#endif
  led(0, 0, 0);
  /* the answer now stays until the user taps CLEAR */
}


/* ===========================================================================
 *  SETUP
 * =========================================================================== */
void setup() {
  Serial.begin(115200);
  delay(400);
  Serial.println("\n=== 05 Vision AI  |  Robojax.com ===");

  pinMode(TFT_BLK, OUTPUT);
  digitalWrite(TFT_BLK, LOW);
  pinMode(SD_CS, OUTPUT);
  digitalWrite(SD_CS, HIGH);

  gfx->begin();
  gfx->fillScreen(BLACK);
  digitalWrite(TFT_BLK, HIGH);

  bbct.init(TOUCH_SDA, TOUCH_SCL, TOUCH_RST, TOUCH_INT);
  delay(50);

  // The camera's SCCB shares this bus, so Wire must be up before the camera
  Wire.begin(I2C_SDA, I2C_SCL, 100000);
  delay(20);

  rgb.begin();
  rgb.setBrightness(LED_BRIGHTNESS);
  led(0, 0, 0);

#if SPEAK_REPLIES
  spkInit();
#endif

  gfx->setTextSize(1);
  gfx->setTextColor(YELLOW);
  gfx->setCursor(4, 4);
  gfx->printf("Connecting to %s ...", WIFI_SSID);

  WiFi.mode(WIFI_STA);
  WiFi.begin(WIFI_SSID, WIFI_PASS);
  uint32_t t0 = millis();
  while (WiFi.status() != WL_CONNECTED && millis() - t0 < 20000) delay(300);

  gfx->setCursor(4, 16);
  if (WiFi.status() == WL_CONNECTED) {
    gfx->setTextColor(GREEN);
    gfx->print("WiFi ok");
  } else {
    gfx->setTextColor(RED);
    gfx->print("WiFi FAILED (2.4GHz only! check secrets.h)");
  }

  gfx->setCursor(4, 28);
  gfx->setTextColor(YELLOW);
  gfx->print("starting camera...");
  if (!camStartPreview()) {
    gfx->fillScreen(RED);
    gfx->setTextColor(WHITE);
    gfx->setTextSize(2);
    gfx->setCursor(20, 100);
    gfx->print("CAMERA FAILED");
    gfx->setTextSize(1);
    gfx->setCursor(20, 130);
    gfx->print("Press RESET (camera reset = board reset)");
    while (1) delay(1000);
  }

  delay(400);
  gfx->fillScreen(BLACK);
  drawButtons();
  preview_on = true;
  Serial.println("Running. Touch a button to have the AI look through the camera.");
}


/* ===========================================================================
 *  LOOP
 * =========================================================================== */
void loop() {
  static uint32_t last_touch = 0;

  if (preview_on) {
    camera_fb_t *fb = esp_camera_fb_get();
    if (fb) {
      gfx->draw16bitBeRGBBitmap(0, 0, (uint16_t *)fb->buf, fb->width, fb->height);
      esp_camera_fb_return(fb);
    }
  } else {
    delay(20);                               // answer on screen, waiting for CLEAR
  }

  /* live WiFi signal, refreshed every 2 s in both modes */
  static uint32_t last_wifi = 0;
  if (millis() - last_wifi > 2000) {
    last_wifi = millis();
    drawWifi();
  }

  /* Edge-detected touch: an action fires only on a NEW finger-down, and the
   * finger must fully lift (4 consecutive empty reads) before anything can
   * fire again. This is what stops one tap on CLEAR from also triggering the
   * capture button that appears in the same spot a moment later. */
  static bool    touch_down = false;
  static uint8_t release_count = 0;

  uint16_t x, y;
  if (getTouch(&x, &y)) {
    release_count = 0;
    if (!touch_down) {
      touch_down = true;                     // new tap - act exactly once

      if (!preview_on) {
        /* answer mode: CLEAR returns to the camera, REPLAY says it again */
        if (x >= BTN_X && y >= BTN_OBJ_Y && y < BTN_OBJ_Y + BTN_H) {
          if (camStartPreview()) {
            preview_on = true;
            drawButtons();
          } else {
            showAnswer("Camera restart failed - press RESET.");
          }
        }
#if SPEAK_REPLIES
        else if (x >= BTN_X && y >= BTN_PERSON_Y && y < BTN_PERSON_Y + BTN_H) {
          led(0, 255, 40);                   // green while speaking
          playLastAnswer();
          led(0, 0, 0);
        }
#endif
      } else if (x >= BTN_X && y >= BTN_OBJ_Y && y < BTN_OBJ_Y + BTN_H) {
        lookAndTell(PROMPT_OBJECTS, "objects");
      } else if (x >= BTN_X && y >= BTN_PERSON_Y && y < BTN_PERSON_Y + BTN_H) {
        lookAndTell(PROMPT_PERSON, "person");
      }
    }
  } else if (touch_down) {
    if (++release_count >= 4) { touch_down = false; release_count = 0; }
  }
  (void)last_touch;
}

Súbory📁

Požadovaný súbor (.h)

  • secrets.h
    file for Makerfabs MaTouch AI ESP32S3 2.8" TFT Camera module
    secrets.h 0.01 MB

Iné súbory

  • pins.h
    pins file for MaTouch AI ESP32S3 2.8" camera LCD touch screen.
    pins.h 0.01 MB

Schéma

  • MaTouch_AI 2.8“ MaTouch AI ESP32S3 2.8" TFT ST7789V schematic
    The latest MaTouch AI board integrate I2S voice input/I2S speaker/ 3 million camera OV3660/ 320*240 resolution display, with ESP32S3 strong processor& Wifi ability, to make this board a good tool/platform for AI development with ESP32.
    MaTouch_AI 2.8“ SPI TFT ST7789V V1.1.PDF 0.15 MB