Smart City
Design
AP032 »
Cloud & azure
Smart City
FPGA BASED SMART TRAFFIC SYSTEM FOR SMART CITIES
AP033 »
Modern world having the issue to controlling the traffic at major cities for rapid increase in automobiles and also large time delays between traffic lights. So, in order to rectify this problem, we will go for different modes of traffic light control system. In this article, we have three modes i.e., Normal mode, Density mode, Emergency mode, IOT Mode.
Smart City
Project
AP039 »
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Smart City
Advanced Automatic Number Plate Recognition System
AP075 »
Recognizing the vehicle number plates is a much needed system. This system is already applicable in so many countries but we want to make some advancements in it. So here we are proposing a vehicle number plate recognition system that automatically recognizes vehicle number plates using image processing. We will set a zone or the area, when the vehicle is entered in the parking area the camera automatically detect its number plate. The camera will also detect the type of vehicle, make and model. This will serve as a new benchmark in security systems as well as automatic toll deduction mechanism.
Smart City
ABC
AP107 »
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Smart City
Intelligent Parking using Drone Surveillance
AP117 »
UAVs or Unmanned aerial vehicles have recently gained popularity for surveillance, the applications of which are gargantuan.
One of the major problems of various metropolitans are increasing traffic and scarcity of parking spaces.
Our project idea is to use the UAV for surveillance around various busy spots in the city and guide the cars to an optimal spot based on duration of parking and location.
Smart City
Real Time and Low Power Smart Vehicle Tracker
AP125 »
Automatic Number Plate Recognition (ANPR) solutions are most an essential element of road safety and public transportation.
Deep learning computer vision is an effective approach to deploying ANPR.
And by computing all the required data at edge enables to achieve low power and near real time application
Smart City
Solar Energy Power Production Outlook
AP128 »
Urban areas have an immense requirement for energy so, much of the power produced are supplied to these regions. These areas must be able to produce power that can at least supplement their energy requirement so that grid system losses can be minimized. The technology used for power production must become sustainable so, renewable sources must be deployed. Renewable energy has the reputation of being intermittent and solar power is also characterized as such given its nature. This is one of the challenges in transitioning to clean energy. This challenge can be surmounted by understanding weather patterns which may be monitored in order to determine the potential power production from solar energy. This is necessary for energy resource assessment and for solar power generation forecasting. Thus, a solar profile can be made at any location with careful observation and analysis.
Solar energy is a relatively mature renewable energy source given the advancement in technology such as the photovoltaic cells. However, much work is necessary to determine which locations are suited to solar power. A cost-effective solution is necessary to do solar observations in order to perform energy resource asssessments to find ideal sites for solar energy and forecast potential power production for operations. This is important for long-term investments on solar power and to help in the transition to sustainable energy sources.
This project proposal aims to use the FPGA kit and sensors to measure light intensity and soil moisture so that the availability of sunlight can be determined. The FPGA and the Azure cloud platform will be used to perform statistical analysis on the data to produce solar profiles that will be used for energy resource assessment and for short-term forecasting of solar power generation. Such a platform will be useful for site selection of solar energy within urban areas.
Smart City
Smart Sewage System
AP130 »
The world’s urban population continues to increase.The City has to provide basic urban services like proper sewage system for an increasing number of inhabitants inrespecting both sustainable development and safety requirements. This challenge requires the construction of efficient urban sewage system ,that use latest technology, in particular the smart technology. Through smart monitoring as well as data collection and analysis, the smart technology allows a real-time supervision of smart sewage system. Analysis of both historical and real-time problems in sewage system helps in improvement in their management. Since the smart sewage technology is recent, its implementation suffers from a lack of field feed-back. The construction of large scale demonstrators ofsmart urban infrastructures is then necessary for a good understanding of issues related to this technology such as smart sensors, data storage, analysis and visualization, engineering exploitation, interaction with end users.
Smart City
ULTRASONIC BIRD DETERRING SYSTEM
AP134 »
The majority of birds under migration do so at night, when the atmosphere is cold and quiet, and they frequently find themselves deviating into cities due to their bright light. Birds are naturally drawn to light, according to scientists, therefore when they fly over a bright metropolis with tall structures at night, they are naturally drawn to it, unknowing that they are in perilous territory. This has a significant impact on avian diversity. In order to curb this complication, we opt for an ultrasonic based bird deterrent system using image processing and cloud technology. The Intel FPGA Cyclone controller was employed in our project. The reason for choosing FPGA Cyclone controller because of its low power consumption, high bandwidth performance, and inexpensive cost. Our target users are people who own sky-scrappers and ornithophiles(bird lovers).
Smart City
Word Level Sign Language Detector
AP136 »
Sign language is used by members of deaf community to communicate .Each hand gestures in the language corresponds to a meaning.
In India there are over 5-million deaf people but there are only 250 certified interpreters which is one Interpreter for every 20000 deaf-people .
It is a practically impossible to balance this ratio between Interpreters and Deaf people ,this is where our project comes into action.
We propose "Word Level Sign language Detector " for Indian Sign language by using INCLUDE Dataset which contains 2-3 second videos with the sign mentioned.
This can prove as a Game-Changer for deaf community people to interact with other people.
This detector device can be used in places like Information service centers in railway stations for deaf people to get interact and communicate with people and can get the required information with less effort.This device increases the inclusivity for the deaf people and makes them feel comfortable in public places.
First we are planning to extract key pose features points (body-positions ) and then we feed these videos in to Neural network architecture to find the spatial differences between the frames, with that we think we can build an model to classify the signs to words.
This Word Level Sign language Detector model is finally deployed in FPGA . A camera is connected in FPGA which is placed infront of the signer which captures the real time video of the sign and predicts the respective class of the sign.
Smart City
SMART WASTE MANAGEMENT SYSTEM
AP138 »
The project is based on a waste management system, which helps in maintaining environmental hygiene. Overflowing dustbins has always been a problem to the environment. So for a smart lifestyle, cleanliness is needed, and cleanliness begins with the Garbage Bin. This project will help to eradicate or minimize the garbage disposal problem. This process is effectively carried out with the help of IOT, an advanced technology.