Automated Blood censor for blood violence

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

Project Title

Automated Blood censor for blood violence

Project Area of Specialization

Artificial Intelligence

Project 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 System

Core Industry

IT

Other Industries

Education

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com