Sreebha Bhaskaran

TL;DR: It is possible to serve multiple emergency vehicles reaching the traffic intersection according to their distance from the intersection and accurately taking the decision to turn the signal green for the particular vehicle, and eliminate the false trigger occurring in sound (siren) based method due to noise and fading.

TL;DR: The main objective of the paper will be to combine smart meter with Load Management System (PLMS) and theft detection and Smart Grid interoperability and standards relevant to the Indian context, development of indigenous low-cost smart solutions.

TL;DR: Text detection approach based on Stroke Width Transform (SWT) and methodology to extract letter candidates to help people to deal with different Indian languages which involve text associated with natural scenes in the local public places is presented.

TL;DR: A language identification technique using tree bagging algorithm is also integrated along with SWT algorithm for text detection to detect and identify text belonging to Kannada, Hindi and English.

TL;DR: This work classify each line of text to a particular language and focused on short phrases of length 2–6 words for 15 Indian languages to detect that a given document is in multilingual and identifies the appropriate Indian languages.