Automated Blood censor for blood violence

Project Title

Automated Blood censor for blood violence

Project Area of Specialization Artificial IntelligenceProject Summary

One of the main factors of success of any news channel is a timely broadcast of current news. In manual censoring, it requires time to edit and a professional editor with lots of human effort. The machine will give results using pre-trained models way faster than manual editing. So it is very useful for the news industry.

In this project, we want to automate the task of censoring blood violence videos using Deep learning and Image Processing technique in a short time to save efforts, attain efficiency with just a few clicks of actions.

Project Objectives

Classify, detect and censor bloody images and videos by breaking them down into frames using deep learning algorithms by training on a custom data set

Project Implementation Method

1. Registration
2. Upload Media
3. Classify Media (Bloody or non-Bloody)
4. Censoring Media 
5. Blurring bloody part
6. save Media

Benefits of the Project

1. Automate Task
2. Time saving
3. Better Result

Technical Details of Final Deliverable

1. User Friendly Interface
2. Collecting Dataset
3. Training Models
4. performance Measurements
5. Testing
6. Finalizing Report
7. preparing presentation

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	60000
GPU	Equipment	1	40000	40000
Api	Miscellaneous	1	10000	10000
RAM	Equipment	1	10000	10000