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
Smart off sensor
AS037 »
To be able to determine with a higher likelihood when to be be able to turn off electronics, lights, set air conditioning higher and not to interrupt someone at home simultaneously.
Smart City
Environmental Humidity Control System Based on RISC-V
PR040 »
Use Intel's FPGA development platform to design an intelligent environment adjustment system driven by a 32-bit RISC-V architecture processor. The system embeds the RISC-V soft core in the FPGA development platform, drives peripheral sensors, and realizes the shortest path optimization algorithm. Finally, it can control the mobile platform in a specific environment and realize the detection and adjustment of environmental humidity with the optimal path. Real-time obstacle avoidance function is realized by distance sensor during movement. In the process of system development, the system will be tested and improved.
Smart City
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AS042 »
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Smart City
Package deliverance
EM039 »
This system proposes an update in packages deliverance system, improving how couriers deliver their packages optimising the time to deliver it and the number of packages delivered in a day.
Smart City
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AP107 »
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Smart City
Fire Detection and Cryptography with FPGA
EM040 »
In response to forest fires, fires that are not noticed within the first 5 minutes and cannot be intervened in 15-20 minutes spread to large areas and become difficult to control. With the system, it is possible to detect forest fires at the initial stage and to inform the firefighting teams, then to respond to the fire immediately and prevent the progression of the fire. "Early" fire detection is possible by closely monitoring the blind spots in forests and habitats all over the world, where watchtowers cannot follow, and by monitoring critical changes in temperature in these areas. Fires, which cannot be detected early and therefore cannot be intervened immediately, cause the destruction of our forests, which take years or even centuries to grow, and impoverish our world in terms of green space. The system in question has been developed to find solutions to these problems.
Method; In the early warning system, using the mesh network topology, thermal cameras and sensors connected to wireless devices take measurements in the forest area, detecting a possible fire threat and informing the center immediately. By sending regular information to the central monitoring software of the devices, statistical information about the weather conditions of the forest area will also be provided. System; It is the most effective alternative to the existing methods such as human eye tracking, telephone notification, aircraft monitoring and camera monitoring, and the operating costs of the system are reduced thanks to the use of "wireless sensor network" technology in fire fighting.
Considering these, we will realize our project.
Smart City
Smart Driving
EM041 »
A system to reduce the consume of fuel driving in the city.
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.