├── README.md
├── event.json
└── index.js


/README.md:
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 1 | # AWS Lambda Twilio Signal Talk
 2 | This short demo shows how you can use the power of AWS Lambda to perform complex tasks based on events. Imagine you have a motion activated camera that uploads a picture to an S3 bucket. Rather than having queues, stateful servers, and other maintenance prone activities just imagine having a function. A function that runs in the cloud whenever you upload a new picture. It checks to see if that picture contains a face and will shoot you an MMS if it does.
 3 | 
 4 | ## Setup
 5 | There are a few simple steps to get setup.
 6 | 
 7 | ### S3 Buckets
 8 | 
 9 | ### AWS Lambda Function
10 | 
11 | #### OpenCV Library Compilation
12 | You can compile the library on any AWS Amazon Linux instance by following the instructions below or you can download the statically compiled library here:
13 | 
14 | ### Twilio Credentials
15 | 


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/event.json:
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 1 | {
 2 |   "Records": [
 3 |     {
 4 |       "eventVersion": "2.0",
 5 |       "eventSource": "aws:s3",
 6 |       "awsRegion": "us-east-1",
 7 |       "eventTime": "1970-01-01T00:00:00.000Z",
 8 |       "eventName": "ObjectCreated:Put",
 9 |       "userIdentity": {
10 |         "principalId": "AIDAJDPLRKLG7UEXAMPLE"
11 |       },
12 |       "requestParameters": {
13 |         "sourceIPAddress": "127.0.0.1"
14 |       },
15 |       "responseElements": {
16 |         "x-amz-request-id": "C3D13FE58DE4C810",
17 |         "x-amz-id-2": "FMyUVURIY8/IgAtTv8xRjskZQpcIZ9KG4V5Wp6S7S/JRWeUWerMUE5JgHvANOjpD"
18 |       },
19 |       "s3": {
20 |         "s3SchemaVersion": "1.0",
21 |         "configurationId": "testConfigRule",
22 |         "bucket": {
23 |           "name": "motion-activated-camera",
24 |           "ownerIdentity": {
25 |             "principalId": "A3NL1KOZZKExample"
26 |           },
27 |           "arn": "arn:aws:s3:::motion-activated-camera"
28 |         },
29 |         "object": {
30 |           "key": "motion-activated-camera/camera1/1425667473.jpg",
31 |           "size": 1024,
32 |           "eTag": "d41d8cd98f00b204e9800998ecf8427e"
33 |         }
34 |       }
35 |     }
36 |   ]
37 | }
38 | 


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/index.js:
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 1 | console.log('Loading event');
 2 | var AWS = require('aws-sdk');
 3 | var async = require('async');
 4 | var util = require('util');
 5 | var cv = require('cv');
 6 | var twilio = require('twilio')('API_KEY')('AUTH_TOKEN')
 7 | var s3 = new AWS.S3();
 8 | var rcptNumber = '+16506900657'
 9 | var fromNumber = '+12345968901'
10 | 
11 | exports.handler = function(event, context) {
12 |     console.log("Reading options from event:\n", util.inspect(event, {depth: 5}));
13 |     var imgBucket = event.Records[0].s3.bucket.name;
14 |     var imgKey    = event.Records[0].s3.object.key;
15 |     var typeMatch = imgKey.match(/\.([^.]*)$/);
16 |     if (!typeMatch) {
17 |         console.error('unable to infer image type for key ' + imgKey);
18 |         return;
19 |     }
20 |     var imageType = typeMatch[1];
21 |     if (imageType != "jpg" && imageType != "png") {
22 |         console.log('skipping non-image ' + imgKey);
23 |         return;
24 |     }
25 |     async.waterfall([
26 |         function download(next) {
27 |             s3.getObject({Bucket: imgBucket, Key: imgKey}, next);
28 |         },
29 |         function detect(image, next) {
30 |             cv.readImage(image.Body, function(err, im) {
31 |                 im.detectObject(cv.FACE_CASCADE, {}, function(err, faces) {
32 |                     if(!faces.length) {
33 |                         next(false, null);
34 |                     } else {
35 |                         for (var i=0;i<faces.length; i++) {
36 |                             var x = faces[i];
37 |                             im.ellipse(x.x + x.width/2, x.y + x.height/2, x.width/2, x.height/2);
38 |                         }
39 |                     }
40 |                     im.toBuffer(imageType, function(err, buffer) {
41 |                         if (err) {
42 |                             next(err);
43 |                         } else {
44 |                             next(true, image.ContenType, buffer);
45 |                         }
46 |                     });
47 |                 });
48 |             });
49 |         },
50 |         function upload(faces, contentType, data, next) {
51 |             if (faces) {
52 |                 s3.putObject({
53 |                     Bucket: -,
54 |                     Key: -,
55 |                     Body: data,
56 |                     ContentType: contentType
57 |                 }, next);
58 |             } else {
59 |                 next();
60 |             }
61 |         },
62 |         function (err) {
63 |             if (err) {
64 |             } else {
65 |             }
66 |             context.done()
67 |         }
68 |     ]);
69 | };
70 | 


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