Lorex Camera Motion Detected

Prerequisites

1. Motion detection setup on your Lorex DVR
2. Lorex DVR
3. Python 3
4. Same requirements as listed here
5. An always on machine in your network...network attached storage options such as this work great with custom firmware installed following this tutorial
6. Picture(s) of those you'd like to index the faces of in Rekognition
   1. The files must be named NAME-PICTURENUMBER.EXTENSION - Ex: brian-4.png or brian-5.jpg
7. Static website with domain hosted on S3 with path for the motion detected alert images
8. Twilio account that has sms enabled
9. A comma delimited list of recipient phone numbers with international code prepended
10. Get a number on Twilio to send sms from
11. Get your twilio account sid
12. Get your twilio auth token

Instructions

1. Run the below commands with the appropriate values filled in

   npm install
   sls deploy --smsRecipients 'Result of #9 of prerequisites' \
   --twilioNumber 'Result of #10 of prerequisites' \
   --twilioAccountSid 'Result of #11 of prerequisites' \
   --twilioAuthToken 'Result of #12 for prerequisites' \
   --domain 'Domain result of #7 in prerequisites' \
   --domainPath 'Path result of #7 in prerequisites' \
   --facesCollectionId 'This can be any identifier or you can go with the default of OurFaces by removing this' \
   --s3fsUser 'This can be any identifier or you can go with the default of S3FSUser by removing this argument'

2. Create and note an access key for the newly created S3FSUser

3. Note the name of the created MotionBucket

4. Follow this tutorial to get s3fs setup on the always machine identified in prerequisite #3

5. Setup an ftp server with this newly created s3fs mount as the location for uploads

6. Enable FTP upload to this ftp server from the Lorex DVR settings