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    International Journal of Innovative Science and Research Technology
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    AIDC(Automatic Image Detection And Censoring) is a software that utilizes AI and Machine learning to automatically detect and censor the contents on a web page. As we all know ,the internet is a vast space with enormous amount of data and content in it and a large portion of these contents are pornographic and violent images and videos.And the current situation is such that even a child can easily access these contents. So what AIDC aims to provide is a software that can be installed on the comp

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    Automatic Image Detection and Censoring on Web Pages

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    AIDC(Automatic Image Detection And Censoring) is a software that utilizes AI and Machine learning to automatically detect and censor the contents on a web page. As we all know ,the internet is a vast space with enormous amount of data and content in it and a large portion of these contents are pornographic and violent images and videos.And the current situation is such that even a child can easily access these contents. So what AIDC aims to provide is a software that can be installed on the comp

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    © All Rights Reserved
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    94 views4 pages

    Automatic Image Detection and Censoring On Web Pages

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    International Journal of Innovative Science and Research Technology
    AIDC(Automatic Image Detection And Censoring) is a software that utilizes AI and Machine learning to automatically detect and censor the contents on a web page. As we all know ,the internet is a vast space with enormous amount of data and content in it and a large portion of these contents are pornographic and violent images and videos.And the current situation is such that even a child can easily access these contents. So what AIDC aims to provide is a software that can be installed on the comp

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    © All Rights Reserved
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    of 4

    Volume 5, Issue 6, June – 2020 International Journal of Innovative Science and Research Technology

    ISSN No:-2456-2165

    Automatic Image Detection and


    Censoring on Web Pages
    Adithye Joseph1, Ajay Chacko Thomas1, Jobin Jose1, Divya Sunny2
    1
    UG Student, Dept. of CSE, SJCET Palai, Kerala, India
    2
    Assistant Professor, Dept of CSE, SJCET Palai, Kerala, India

    Abstract:- AIDC(Automatic Image Detection And off and access other controls. The users/children can now
    Censoring) is a software that utilizes AI and Machine access the internet via the web browser on the computer.All
    learning to automatically detect and censor the contents the content they access will now be automatically censored
    on a web page. As we all know ,the internet is a vast by AIDC. As the control panel of the censoring system is
    space with enormous amount of data and content in it password protected the users cannot make any changes to
    and a large portion of these contents are pornographic the settings set by the administrator. The control panel
    and violent images and videos.And the current situation gives the administrator access to various settings such as
    is such that even a child can easily access these contents. excluding certain websites from being censored.The
    So what AIDC aims to provide is a software that can be administrator can also turn off the censoring when
    installed on the computer that will automatically censor required.The software primarily focuses on blurring of guns
    these contents and thus keeping the young minds safe on to abstract the idea of violent image censoring on online
    the internet.This feature can controlled by an content.Censoring is only done on necessary areas so as to
    administrator.Due to limitations,the scope of this preserve the meaning of the image.This method is far
    project will include only censoring of violent images. superior to existing methods which completely blurs or
    hides the image destroying its intended purpose.
    I. INTRODUCTION
    II. PROPOSED METHOD
    The easy access and widespread of the Internet makes
    it easier than ever to reach content of any kind at any The working of the entire process is as
    moment, and while that poses several advantages, there is follows:Webscraper extracts images from the web page.The
    also the fact that sensitive audiences may be inadvertently images are then stored in a folder locally.An image
    exposed to violent content they did not ask for.AIDC aims detection model then access this folder to retrieve images
    to provide is a software that can be installed on the from it.The images are then processed by the model to
    computer that will automatically censor these contents and detect the relevant object.A masking algorithm generates a
    thus keeping the young minds safe on the internet.After mask for the object concurrently.The mask is then placed
    installing the AIDC plug-in/software the admin of the on the object to generate the censored image.The image is
    system or the parent can access the AIDC control panel then send back to be viewed bytheuser.
    which allows him/her to turn the censoring system on and

    Chart 1:- Overall Design

    The entire project can be divided into three sections. B. Detection of Objects
    Here object detection is done using Mask R-
    A. Extraction of Images CNN.Mask RCNN is a deep neural network aimed to solve
    A custom made webscraper is made to extract images instance segmentation problem in machine learning or
    from webpages. A web crawler is used to browses the computer vision. In other words, it can separate different
    internet to index and search for content by following links objects in a image or a video. You give it a image, it gives
    and exploring.A web scraper is a specialized tool designed you the object bounding boxes, classes and masks.We use a
    to accurately and quickly extract data from a web page. custom data set of guns to train this model .
    Web scraper used here collects only images.First, a scraper
    unique to your project, designed specifically to target and C. Masking
    extract the data you want from the websites you want it A mask is applied to the object to produce the
    from. censored image.

    IJISRT20JUN709 www.ijisrt.com 891


    Volume 5, Issue 6, June – 2020 International Journal of Innovative Science and Research Technology
    ISSN No:-2456-2165
    This image is then given back to the browser to be A. Training Phase
    viewed by the user. In this phase we create a dataset and annotate
    them.The dataset contains almost 250 images. Validation
    III. EXPERIMENTAL ANALYSIS set contains almost 100 images.

    The image censoring section of the proposed system


    consists of two parts testing phase and training phase.The
    image is acquired through web browser.

    Fig 1:- Dataset

    B. Testing Phase
    In this phase we evaluate the performance of the model. We adopt image-centric training. Images are resized such that their
    scale (shorter edge) is 800 pixels. Each mini-batch has 2 images per GPU and each image has N sampled RoIs, with a ratio of 1:3
    of positive to negatives.

    Fig 2:- Test Phase Evaluation

    IV. SOFTWARE IMPLEMENTATION D. Keras API


    The Keras functional API used create models that is
    A. Python more flexible than other API’s. This functional API used to
    It used for processing and visualization of the data.It handle non-linear topology, shared layers, and multiple
    is used for initial segmentation and generation of attribute inputs or outputs.
    tables for data processing. It is also used to create
    webscraper E. Anaconda
    It is used to set up a platform for creating the object
    B. Tensor flow detection model.It is integrates tensorflow and keras api
    The fetched image is analyzed based on the factors into the training model.
    such as slope,NDVI etc and these images are processed for
    further scanning for predicting the output. V. HARDWARE IMPLEMENTATION

    C. MS COCO Dataset  1 TB Hard disk


    It is used for initial segmentation and detection.The  8 GB RAM minimum
    pre trained model on MS COCO forms the basis for the  Processor intel i5 or above
    later model.  GPU gtx 1050 or above
     3 GB minimum vram

    IJISRT20JUN709 www.ijisrt.com 892


    Volume 5, Issue 6, June – 2020 International Journal of Innovative Science and Research Technology
    ISSN No:-2456-2165
    VI. FUTURE SCOPE polishing and performance improvement can be done in
    future to make it more appealing to general public.
    The project in the future, can be further expanded by
    improving the detection accuracyand reducing load VII. RESULT
    times.Few ways it could be achieved is by Improving
    model accuracy by adding more images to data set,reducing The model shows almost 80% accuracy in test
    the dependency on on board hardware,Implementing the performed. We used cross validation for training
    software entirely on a SaaS platform to make it more dataset.This software provides a more advanced to deal
    flexible, adding more user friendly features.Much more with explicit images in webpages. The webpage with this
    software running in background is shown below.

    Fig 3:- Webpages after censoring.

    VIII. CONCLUSION REFERENCES

    The proposed system helps to censor violent and [1]. M. Andriluka, L. Pishchulin, P. Gehler, and B.
    explicit images on webpages.This provides an efficient and Schiele. 2D human pose estimation: New benchmark
    easy way to protect children from this type of content in and state of the art analysis. In CVPR, 2014.
    internet.Also this project provides a platform for further [2]. P. Arbela ́ez, J. Pont-Tuset, J. T. Barron, F. Marques,
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    [3]. A. Arnab and P. H. Torr. Pixelwise instance
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    [4]. M. Bai and R. Urtasun. Deep watershed transform for
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    IJISRT20JUN709 www.ijisrt.com 893


    Volume 5, Issue 6, June – 2020 International Journal of Innovative Science and Research Technology
    ISSN No:-2456-2165
    [5]. S. Bell, C. L. Zitnick, K. Bala, and R. Girshick.
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    IJISRT20JUN709 www.ijisrt.com 894

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