Thousands of video recordings are created and shared on the internet every day. It is becoming increasingly difficult to spend time to watch such videos, which may take longer than anticipated, and our efforts may go in vain if we are unable to extract meaningful information from them. Summarizing transcripts of such videos helps us to quickly search for relevant patterns in the video without having to go through the entire content. Abstractive transcript summarization model is very useful in extracting YouTube video transcripts and generates a summarized version. An automatic summarizer's purpose is to shorten the time of reading, enable easier selection, be less prejudiced compared to humans, and portray content that is compressed while preserving the important material of the actual document. Extractive and abstractive approaches are the two most common ways to summarise text. Extractive approaches choose phrases or sentences from input text, whereas Abstractive methods generate new words from input text, making the task much more difficult.
This paper provides the estimation through drone for surveillance and bomb diffusion the using actuators. The proposed model is composed that lightweight, portable and user pleasant with reduced complexity. The new glove system is a wi-fi and self-contained machine that's established at the user arm in an effort to control the motion of the robot. The device is not restricted to the variation inside the finger sizes thereby imparting accuracy and comfort for the robotic control. The system is ready with bomb detection and diffusion mechanism. Once the presence of bomb/Metal is detected by using robotic, it initiates commands to the legal officials and the detected bomb can be subtle from a remote area, it linked direct touch with the bomb. Thus the machine provides high security for the existence of the bomb diffusion squad. The proposed device is noticeably useful in the all regions that call for safety and it presents virtual fact in surveillance and diffusion.
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