#include <WiFi.h>
#include <esp_camera.h>
// WiFi Credentials
const char* ssid = "YOUR_WIFI_SSID";
const char* password = "YOUR_WIFI_PASSWORD";
// Camera Module Pin Configuration for ESP32 AI-Thinker Module
#define PWDN_GPIO_NUM 32
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 0
#define SIOD_GPIO_NUM 26
#define SIOC_GPIO_NUM 27
#define Y9_GPIO_NUM 35
#define Y8_GPIO_NUM 34
#define Y7_GPIO_NUM 39
#define Y6_GPIO_NUM 36
#define Y5_GPIO_NUM 21
#define Y4_GPIO_NUM 19
#define Y3_GPIO_NUM 18
#define Y2_GPIO_NUM 5
#define VSYNC_GPIO_NUM 25
#define HREF_GPIO_NUM 23
#define PCLK_GPIO_NUM 22
// Arduino Uno Communication Pins
#define RX_PIN 2 // ESP32 RX connected to Arduino TX
#define TX_PIN 4 // ESP32 TX connected to Arduino RX
// Traffic Light Control Pins on Arduino
#define GREEN_LIGHT_PIN 8
#define YELLOW_LIGHT_PIN 9
void setupCamera() {
camera_config_t config;
config.ledc_channel = LEDC_CHANNEL_0;
config.ledc_timer = LEDC_TIMER_0;
config.pin_d0 = Y2_GPIO_NUM;
config.pin_d1 = Y3_GPIO_NUM;
config.pin_d2 = Y4_GPIO_NUM;
config.pin_d3 = Y5_GPIO_NUM;
config.pin_d4 = Y6_GPIO_NUM;
config.pin_d5 = Y7_GPIO_NUM;
config.pin_d6 = Y8_GPIO_NUM;
config.pin_d7 = Y9_GPIO_NUM;
config.pin_xclk = XCLK_GPIO_NUM;
config.pin_pclk = PCLK_GPIO_NUM;
config.pin_vsync = VSYNC_GPIO_NUM;
config.pin_href = HREF_GPIO_NUM;
config.pin_sscb_sda = SIOD_GPIO_NUM;
config.pin_sscb_scl = SIOC_GPIO_NUM;
config.pin_pwdn = PWDN_GPIO_NUM;
config.pin_reset = RESET_GPIO_NUM;
config.xclk_freq_hz = 20000000;
config.pixel_format = PIXFORMAT_JPEG;
// Configure resolution and frame rate
config.frame_size = FRAMESIZE_VGA; // 640x480
config.jpeg_quality = 10;
config.fb_count = 2;
// Initialize camera
esp_err_t err = esp_camera_init(&config);
if (err != ESP_OK) {
Serial.printf("Camera init failed with error 0x%x", err);
return;
}
}
void connectToWiFi() {
WiFi.begin(ssid, password);
while (WiFi.status() != WL_CONNECTED) {
delay(500);
Serial.print(".");
}
Serial.println("\nWiFi Connected");
}
bool detectVehicles() {
camera_fb_t *fb = esp_camera_fb_get();
if (!fb) {
Serial.println("Camera capture failed");
return false;
}
// TODO: Implement advanced vehicle detection using OpenCV or
// machine learning algorithms for more accurate detection
// Simple brightness-based detection as a placeholder
int brightnessThreshold = 100;
int brightnessSum = 0;
for(int i = 0; i < fb->len; i++) {
brightnessSum += fb->buf[i];
}
esp_camera_fb_return(fb);
// Return true if average brightness suggests vehicle presence
return (brightnessSum / fb->len > brightnessThreshold);
}
void setup() {
Serial.begin(115200);
setupCamera();
connectToWiFi();
pinMode(GREEN_LIGHT_PIN, OUTPUT);
pinMode(YELLOW_LIGHT_PIN, OUTPUT);
}
void loop() {
bool directionOneDetected = detectVehicles();
delay(100); // Small delay for second detection
bool directionTwoDetected = detectVehicles();
if (directionOneDetected && directionTwoDetected) {
// Vehicles detected in both directions
digitalWrite(GREEN_LIGHT_PIN, LOW);
digitalWrite(YELLOW_LIGHT_PIN, HIGH);
} else if (directionOneDetected || directionTwoDetected) {
// Vehicle detected in only one direction
digitalWrite(GREEN_LIGHT_PIN, HIGH);
digitalWrite(YELLOW_LIGHT_PIN, LOW);
} else {
// No vehicles
digitalWrite(GREEN_LIGHT_PIN, LOW);
digitalWrite(YELLOW_LIGHT_PIN, LOW);
}
delay(1000); // Wait before next detection cycle
}