AITD Goa

eProjects

TECHgium® 5th Edition organized by L&T Technology Services (LTTS), Report

Congratulations to our students Rahil Keni, Mohit Kamat, Shaivik Dhavjekar and Pranav Patil for being selected in the top 10 as finalists of TECHgium® 5th Edition organized by L&T Technology Services (LTTS) in which 3,400+ abstracts were submitted from 30,000+ engineering students who participated from over 450+ reputed Engineering colleges and Universities from all over […]

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Traffic Monitoring System

The traffic monitoring System monitors the cross-road traffic and depending on the number of vehicles in each lane allots time for the red and green signals with pre-defined algorithms. The calculations are done using image processing Eager to discover more regarding mobile casino apps? Our friends from Casinonongamstop.com completed a review about mobile gambling apps

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Mall Parking System

The proposed system in this paper is an advanced solution for monitoring the parking slots available in parking sections of malls for the incoming vehicle to be parked and allotting it to a nearest parking slot, which is done without any human interventions or human interference. The technology which is used is Image processing which

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Alcohol Detection System

The main objective of this project is reduction in the number of accidents taking place due to the driver being under the influence of alcohol. This system won’t allow the driver to start the car ignition if he/she is found drunk. The project uses MSP430 Microcontroller along with alcohol sensor (MQ-3) which is responsible for

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Smart Energy Meter

Energy meter readings are captured by camera placed in front of it. This image is processed by r-pi. User can see daily consumption of energy through a dedicated app and hence can limit the extra usage and hence can contribute towards conservation of energy.

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Smart Parking

Smart Parking system is based on image processing and iOT that enables a user to find an available parking spot through template matching technique that updates the number of available parking slots through an app/web browser using internet of things (AWS).

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