Autonomous Vehicles
ABC
AP108 »
1234
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.
Autonomous Vehicles
Autonomous Airship Serving Humanity
AS045 »
We want to build batteries powered, autonomous, low cost (to be easily available globally), airship to monitor,
1- 24x7 monitoring of Agriculture to better protect and enhance yearly yield.
2- Regional environmental data to protect environment,
3- Low cost commute for carrying,
(a) Food
(b) Commuting waste to remote sites
(c) Year round, 24x7 monitoring of different habitats, environmental conditions globally to better protect and enrich environment.
4- Emergency situations monitoring to eradicate root causes, like wild fire.
Food Related
Sustainable Mushroom Farming
AP112 »
In Malaysia, mushroom cultivation activity has been long existed. Mushrooms have been identified as one of the high-value commodities under Malaysia’s National Agro Food Policy (2011-2020). The government recognizes the mushroom industry to have a potential to be developed as demand is increasing in tandem with the increase in population and consumption. Currently, the cultivation activity is growing and thriving due to high demand in Malaysian market. The consumption of mushrooms per capita has been expected to increase from 1.0 kg in 2008 to 2.4 kg in 2020. Besides, there were 648 mushroom entrepreneurs in Peninsular Malaysia in 2008. The higher demand together with the supports from government to improve this industry in future, has gave an opportunity to entrepreneurs to keep venturing in this area. The demand of mushroom is increasing but in Malaysia, the number of cultivators and production is decreasing. This is due to the inconsistent environmental condition with high temperature of 32–35 °C and low humidity of 60%–70%.
Humidity and temperature affect on fruiting body of oyster mushroom. Optimal temperature and humidity is known as 13-16°C and > 80%. High and low temperature indicates > 16°C and < 12°C, respectively and high and low humidity indicates > 80% and < 60%. The morphology of the mushroom depends on the humidity and temperature. Oyster mushroom also can grow at moderate temperature ranging from 20℃ to 30 ℃.
In Malaysia, some studies have been conducted and results show that in a room temperature, the optimum humidity should be larger than 90% in order to get the optimum growth and yield of mushroom. Due to the high demand in our country and also in the world, the industry requires high technology that uses less labour but produces higher productivity. Hence, electronic based monitoring system should be developed to maintain the humidity as high as 90% at room temperature and the data must be sent to cloud for further development. Mushroom farmers can view the temperature and humidity data remotely and watering process can be done automatically to maintain the humidity. Information or database is also important since the number of mushroom entrepreneurs keep increasing due to the demand and support from government. Besides the hardware, the software also should be developed to ensure that the mushroom industry will be sustained and growing. The Graphical User Interface (GUI) must be attractive and informative since it will be a medium of communication among the mushroom entrepreneurs, mushroom farmers and government agency.
Other
FPGA based Smart Watering System for indoor and agricultural plants
AP113 »
The goal of this project is to develop a smart monitoring and watering system for plants that records various factors that help plants survive. The idea behind this is to use FPGA and hence a hardware description language (HDL) along with the sensors that collect data in accordance with the change of weather and soil moisture levels. The project also provides the future scope of maintaining a gardening system precisely using FPGA boards and can also be deployed to understand different crop trends using different sensors.
Food Related
Test Project
AP114 »
Test 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.
Autonomous Vehicles
Autonomous Vehicle Speed Control on Heterogeneous Road ways
AP119 »
Road accidents have been very common in the present world, with the prime cause being careless driving and exceeding the speed limit. The necessity to check this has been very essential and different methods have been used so far. However, with the advancement in technology, different governing bodies are demanding some sort of computerised technology to control this problem of overspeed driving. Although all highways do have signboards indicating the maximum speed limit for the sake of the driver’s safety, people still do not obey the highway speed limit.
In this project, the speed of the vehicle is controlled through a continuous scanning of the signboards indicating the maximum speed limit on the roads and locking the maximum speed of the vehicle to the scanned value. By making use of a camera mounted to the vehicle pointing towards the left side of the road, the signboard image is captured. The camera captured an image of the speed limit signboard that was processed on the FPGA board for character recognition by using the optical character recognition (OCR) method. This value is compared with the database to lock the speed of the autonomous vehicle. The complete information of the autonomous vehicle with respect to speed maintained throughout the journey is monitored remotely over the IoT cloud for further enhancements and speed updates along the route.
Even in some areas where we do not find any speed limit boards, especially for these situations, we came up with an additional feature that consists of data pertaining to the speed of different vehicles in different types of lanes are not unique and classified based on the type of vehicle and carriage ways. As an illustration, for carriage type motor vehicles with no more than eight passengers, the maximum allowable speed on an expressway for plain terrain is 120km/h, where as it is 70km/h on municipal roads. Through such data, we propose a speed control system for controlled autonomous driving on any type of road and any type of terrain. The vehicle in which this control method is adopted initiates the journey with tracking using a GPS tracker provided in it. At the start of the journey, the user can select his/her destination point based on the estimated distance as well as the type of roads involved a priori. It shows what lanes are included in that path and respective vehicle speed limits saved as reference. If the vehicle finds any speed limit signboard on the journey, it compares with the data available. The priority for the database of the lines and respective speeds is given when there is no signboard in the way of a vehicle. This ensures the continuous control of the autonomous vehicle in both online and offline situations for all types of roads.
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
Other: AGRICULTURE
pest detection using fpga
AP127 »
project is to design a system to detect the pests automatically
using the technique of Image processing. Crop damage from pathogens and pests is a worldwide problem these days. In fact, agricultural crop productivity has been severely affected by various pests. So, in order to reduce this effect, we are doing this project to help farmers by providing a tool which
detects the pests at the very early stage, so that we can take possible measures to ensure the best quality yield of the crop.
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.