Ad-Lull

To do away with Advertisments

Ad-Lull

Replacing Tv commercials with something more meaningfull

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Problem Statement

Our mission

The average T.V. viewer watches 5 hours of T.V. everyday, 75+ minutes of these are spent watching commercials. Seeing as most people pay to watch T.V, for the programming and not the commercials, we set out to resolve this issue.

Specifications

Reasonable features!
Accuracy

Detect TV commercials* in real time at a 75% success rate

Detection

Detect transition from commercial break back to TV program at an 80% success rate

Stability

No interruption of TV programs


Reliability

5 second detection delay (TV programming to commercial and vice versa)

User interface

Interface with android device via bluetooth and play/pause Spotify or Pandora

Flexibilty

Product will work on 10 of the top channels

Connectivy

Wired interface with cable video source and any TV

Block Diagrams

System
System Overview Ad-Lull Block diagram

Research

Our Approach

From our detection subsystem we recieve inputs in the form of audio and video from the RCA connectors, the inputs enable us to approach our challenge.

Commercial patterns

By studying T.V. commercials we noticed a number of things we can look for.

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Commercials occurs in intervals of 5 seconds.

There is concurrrent presence of silence and black frames in the transistions from Tv to commercial, commercial to commercial, and commercial to Tv.

From test we've seen accuracy between our theory(detecting transistions) and measurements both for Audio and black frames.

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Going futher we are looking into machine learning.

Meet the team

GANG!
Adam Lachmayr
Computer Engineering

Our resident sailor, captain Adam.

Ahanna Ugorji
Electrical Engineering

Creative Leader.

Dan Turner
Computer Engineering

A man of few words, but strong actions.

Jimmy LaCroix
Electrical Engineering

The Smartest man alive.

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Address :

University of Massachusetts Amherst

Amherst, MA

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Email :

alachmayr@umass.edu

dpturner@umass.edu

jrlacroix@umass.edu

ougorji@umass.edu