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File Date Author Commit
 image1 2018-02-05 agraj agraj [dc1f2d] first commit
 scripts 2018-02-05 agraj agraj [dc1f2d] first commit
 sendemail 2018-02-05 agraj agraj [dc1f2d] first commit
 tf_files 2018-02-05 agraj agraj [dc1f2d] first commit
 tmp 2018-02-05 agraj agraj [dc1f2d] first commit
 LICENSE 2018-02-05 agraj agraj [dc1f2d] first commit
 README.md 2018-02-06 AgAbhishek AgAbhishek [b211d0] Update README.md
 main.sh 2018-02-05 agraj agraj [dc1f2d] first commit
 monitoring 2018-02-05 agraj agraj [dc1f2d] first commit

Read Me

DeepLearningHomeSecurity

Home Security software designed based on Deep Learning architecture using widely used opensource tensorflow platform.
It has been tested on ubuntu 15.04/16.04 OS on AMD64 and ARM architecture. The software is distributed under
APACHE licence (see licence).

The standalone binary executable requires minimal external dependencies as the libraries such as tensorflow, openCV, pygame and others
are linked within the software. The software works by capturing the image using inbuilt/USB powered webcam, comparing the subsequent
images for pixel differences and piping the image through deep learning algorithm. Once the object of interest(human in
present case) is detected, the software attempts to send email with image as an attachment to the designated email ids. The feature
is currently restricted to dummy email id, if you want to customize it to yours, pl. send me an email with request. I will send you the
required binaries.

Usage:

a). Download/extract the zip file or clone it to your /home directory

b). After wards pass the following in your terminal

            $./monitoring {/path/to/current/directory}

            Initiating the Camera !!
            =======================
            Initiating the Main Module !!
            =============================
            Done !!

            Output image is generated in "sendemail/" directory

The download file is approx 185 MB, it may take a while. Pl. feel free to raise an issue if you face any problem.

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