Marius Dima
Published © MIT

DasCognitiveServices

Detect human face details with the help of an Arduino. Store detection results in into cloud data storage.

IntermediateProtip4 hours16,126
DasCognitiveServices

Things used in this project

Hardware components

Arduino MKR1000
Arduino MKR1000
×1
HC-SR04 Ultrasonic Sensor
×1

Software apps and online services

Visual Studio 2015
Microsoft Visual Studio 2015
DasData - cloud channel

Story

Read more

Schematics

face_detection.pdf

Code

aRest - Distance

C/C++
/*
 * 
  Face detectino - gets distance from HC-SR04 Sensor using
  aREST Library for the Arduino/Genuino MKR1000 board. 
  Written in 2016 by Marco Schwartz under a GPL license.
*/

// Import required libraries
#include <SPI.h>
#include <WiFi101.h>
#include <aREST.h>
#define echoPin A0 // Echo pin A0
#define trigPin A1 // Trigger pin A1

long duration ; // duration to calculate distance
int HR_dist = 0; // Calculated distance

int minimumRange=5; //Min Sonar range
int maximumRange=200; //Max Sonar range

// Status
int status = WL_IDLE_STATUS;
 
// Create aREST instance
aREST rest = aREST();

// WiFi parameters
char ssid[] = "DASDATA";
char password[] = "WIFI_PASSWORD";

// The port to listen for incoming TCP connections
#define LISTEN_PORT           80

// Create an instance of the server
WiFiServer server(LISTEN_PORT);

// Declare functions to be exposed to the API
int ledControl(String command);

void setup(void)
{
  // Start Serial
//  Serial.begin(115200); 
 pinMode(trigPin, OUTPUT);
 pinMode(echoPin, INPUT);
  // Init variables and expose them to REST API

  // Function to be exposed
  rest.function("led",ledControl);

  // Give name and ID to device
  rest.set_id("1");
  rest.set_name("dasX");

  // Connect to WiFi
  while (status != WL_CONNECTED) {
    Serial.print("Attempting to connect to SSID: ");
    Serial.println(ssid);
    status = WiFi.begin(ssid, password);

    // Wait 10 seconds for connection:
    delay(5000);
  }
  Serial.println("WiFi connected");

  // Start the server
  server.begin();
  Serial.println("Server started");
 
  // Print the IP address
  IPAddress ip = WiFi.localIP();
  Serial.print("IP Address: ");
  Serial.println(ip); 

  rest.variable("Distance",&HR_dist );
  
}

void loop() {
  getDistance();
  // Handle REST calls
  WiFiClient client = server.available();
  if (!client) {
    return;
  }
  while(!client.available()){
    delay(1);
  }
  rest.handle(client);
  
}

void getDistance() {
  digitalWrite(trigPin,LOW);
  delayMicroseconds(2);
  digitalWrite(trigPin,HIGH);
  delayMicroseconds(10);
  digitalWrite(trigPin,LOW);

  duration = pulseIn(echoPin,HIGH);
  //calculate distance
  HR_dist = duration/58.2;

  if (HR_dist >= maximumRange || HR_dist <= minimumRange) {
    //Serial.println("0");
    }
    else {
  Serial.println(HR_dist); 
      }

      delay(100);
  }

// Custom function accessible by the API
int ledControl(String command) {

  // Get state from command
  int state = command.toInt();

  digitalWrite(6,state);
  return 1;
}

DasCognitive services

Visual Studio - project

Credits

Marius Dima

Marius Dima

6 projects • 47 followers
interested in data exploration and finding innovative solutions to help enterprises.
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