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npm install azure-iot-device-mqtt

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'use strict';

var clientFromConnectionString = require('azure-iot-device-mqtt').clientFromConnectionString;
var Message = require('azure-iot-device').Message;

function azcall()
{
	var connectionString = 'YOUR CONNECTION STRING'; 

	var client = clientFromConnectionString(connectionString);

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{
  "frameworks": {
    "net46":{
      "dependencies": {
        "Newtonsoft.Json": "10.0.3",
        "System.ServiceModel.Primitives":"4.4.0",
        "MongoDB.Bson": "2.4.0",
        "MongoDB.Driver": "2.4.0",
        "MongoDB.Driver.Core": "2.4.0"
      }

avirup171

using System;
using System.Runtime.Serialization;
using System.ServiceModel.Description;
using MongoDB.Bson.IO;
using MongoDB.Bson;
using MongoDB;
using MongoDB.Driver;
using System.Security.Authentication;
using System.Text;
using Newtonsoft.Json;

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using System;
using System.Runtime.Serialization;
using System.ServiceModel.Description;
using MongoDB.Bson.IO;
using MongoDB.Bson;
using MongoDB;
using MongoDB.Driver;
using System.Security.Authentication;
using System.Text;
using Newtonsoft.Json;

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from __future__ import print_function
import sys
import os
from argparse import ArgumentParser
import cv2
import time
import logging as log
import numpy as np
import io
from openvino.inference_engine import IENetwork, IEPlugin

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class Detectors(object):
    #Constructor
    def __init__(self, device, model, cpu_extension, plugin_dir,is_async_mode):
        self.cpu_extension = cpu_extension
        self.plugin_dir = plugin_dir
        self.is_async_mode = is_async_mode
        self.device=device
        self.model=model

    def initialise_inference(self):

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class Processor(object):
    #Constructor
    def __init__(self,exec_net,input_blob,out_blob,n,c,h,w):
        self.exec_net=exec_net
        self.input_blob=input_blob
        self.out_blob=out_blob
        self.n=n
        self.c=c
        self.h=h
        self.w=w

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from __future__ import print_function
import sys
import os
from argparse import ArgumentParser
import cv2
import time
import logging as log
import numpy as np
import io
import detect as dt

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def initialise_inference(self):
        
        model_xml=self.model
        model_bin = os.path.splitext(model_xml)[0] + ".bin"

        # Plugin initialization for specified device and load extensions library if specified
        log.info("Initializing plugin for {} device...".format(self.device))
        plugin = IEPlugin(device=self.device, plugin_dirs=self.plugin_dir)
        if self.cpu_extension and 'CPU' in self.device:
            log.info("Loading plugins for {} device...".format(self.device))