Other: Agriculture
Mini Electric Vehicle Reducing Waste In Agriculture
EM022 »
With the development of technology in agriculture, clean water and fertilizer etc. There has been a reduction in wastage of products. However, a large amount of waste is still experienced today. In order to prevent this even a little bit, we designed a mini electric vehicle project that works with solar energy and does not harm the nature.
The designed tool takes a piece of soil sample and determines its humidity, pH ratio, mineral ratio etc. in it. By making the analysis, it transfers it to the user and automatically starts the irrigation system as much as the water needed by the soil. In line with the deficiencies, if the fertilization process is done manually, the farmer will only apply the necessary pesticides.
Water Related
Smart irrigation system for dense crops using FPGA
AP081 »
The main focus is on a smart irrigation system which is a vital need in today’s world. The twenty-first century deals with technology and automation, making our lives easier, adaptable, and cost-effective. In our country, India is divided into two groups of people, the agro-based farmers whose livelihood depends on food production and on the other side the consumers who depend solely on the consumption of food produced by the farmers. Both have an interdependent link. India an agriculture-based country, it is very important that the methods used for agriculture are efficient to satisfy the increasing demand. This led to the origination of smart irrigation system which is one of the smartest methods used in agriculture. It provides an automatic irrigation of crop fields and does not require human involvement. It keeps the track of the water level as well as soil moisture content. This ensures the proper and healthy growth of plants. The major factor involving agriculture is the depletion of water which keeps on increasing day by day. The smart irrigation system also resolves this issue as the water is conserved by the automated water system consisting of a sensor that senses the climatic data such as humidity, soil moisture, and water level. The agriculture field is irrigated based on this data and water flow.
Other: AGRICULTURE
FPGA implementation of measurement of minerals, moisture on plants and Pressure,temperature,humidity of crop area.
AP082 »
Prediction of nature is uncertain. This uncertainty creates an imbalance in many things just like no proper rainfall in many areas. it’s important to generate crops with the required moisture. Due to differences in areas, the rate of moisture and fertility of the soil is different in different soils. To meet the requirements of moisture, we design a device that measures moisture at the bottom of the plants with the help of moisture sensors such that we can provide the necessary amount of water using valves. For soil fertility, different minerals in different compositions are required for different crops. our design also helps in detecting and measuring nitrogen, phosphorus, and potassium using NPK sensors. By adding BME 280 sensor, we can provide additional information like pressure, temperature, and humidity. This may help farmers in saving energy and time. the proposed system is designed using Verilog and implemented on FPGA. This system might create revolutionary of being handy to the farmers.
Food Related
FPGA - Based Hardware Acceleration Wireless Sensor Network For Agriculture
AP083 »
By using FPGA we can develop reconfigurable wireless sensor network node for transmitting real time data like (temperature, pressure, oxygen level etc.) with low power consumption and high Execution speed, basically wireless sensor node have three different work there are sensing, computing and communicating by using verilog HDL programming language we can program a entire wireless sensor node Architecture, after successfully complete simulation and synthesis or verification we can bout that program into the FPGA board and by using pipelining and parallel processing we can improve the speed of the computing, especially by using hardware acceleration method we can design our WSN different independent block like “sensing block with independent memory - so we can control speed of sensing ability” “computation block with independent memory example - ALU block, Error check block, FIFO registers by using independent block we can improve the flow of execution with high speed and low power ” and “communication block with FIFO independent memory - so we can control the speed of transmitting and receiving with help of PLL” by using this method we can make our wireless sensor node work different mode or different algorithm like “Sleep mode - in this state “sensing block” and “computation block” will stop temporary but still communication block will work because some we need to transmit other node data to another node inside the node there is internal timer will run and it will wake up our node” and “Idle mode - in this state all three block are stop and the internal timer will run and it will wake up our node ”by using these mode we can able to increase the life time of network so it will reduce the Maintenance cost and with help of interfacing LORA wireless communication protocol with FPGA we can do long distance transmit and receive data with low power and it's come under communication block
Smart City
Smart Trashcan
AS034 »
The practice of recycling helps reduce pollution, greenhouse gas emissions, and the amount of waste that is disposed in landfills. The majority of Americans unfortunately does not embrace the three Rs (reduce, reuse, recycle). The lack of adequate knowledge for sorting and recycling materials is one of the biggest barriers to being green. Recycling is a behavior that can be improved through technology. This proposed project is centered around the creation of a smart trash can prototype designed to create awareness among students at Queens University and in its neighboring community on the importance of correctly sorting waste items. The smart-trash can has both a hardware and a software component. The project will specifically focused on developing a working prototype and deep learning (DL) model using the Intel FPGA Cloud Connectivity kit in combination with Microsoft Azure IOT. The model is able to correctly classify different types of disposable and recyclable food service items (paper cups, paper boxes, paper trays, food containers, etc.) commonly found in the Queens University’s cafeteria and around campus. The classification is used by the hardware to provide a visual prompt to indicate the bin for a particular waste item. This can lead to improving the process of pre-sorting recyclable materials once the smart trash can is fully deployed on campus.
Health
Implementation of Deep Learning Based Neural Network Algorithm for Intracranial Hemorrhage Detection
AS035 »
This project introduces the concept of deep learning based automatic intracranial hemorrhage recognition & detection from CT Scans images dataset. Purpose of this is to remove role of man from detection purpose to increase efficiency and save time and manpower. CT Scans are used widely in medical for detecting the type of hemorrhage etc.
The task of detecting and identifying hemorrhage is very sensitive as it is a serious health problem requiring often intensive medical treatment. It requires very high precision and accuracy in very short time. Several techniques are available for detection but this project will focus on training a deep learning convolutional neural network model that is trained to detect images and identify the type of hemorrhage. CNNs are more useful because they automatically extract features of targets unlike machine learning algorithms.
Intracranial hemorrhage, bleeding that occurs inside the cranium, is a serious health problem requiring rapid and often intensive medical treatment.
Diagnosis requires an urgent procedure. When a patient shows acute neurological symptoms such as severe headache or loss of consciousness, highly trained specialists review medical images of the patient’s cranium to look for the presence, location and type of hemorrhage. The process is complicated and often time consuming.
We will implement a new algorithm on CT Scans dataset for detecting the Hemorrhage to increase the efficiency of the output results and we will also make it fast enough to give the output in short time in order to save the life of patient.
We will use machine learning and deep learning techniques and different image processing methods to identify the types of hemorrhage. We will use different image identification and processing algorithms, if required the combination of different Neural network and image processing algorithms like YOLO, Faster RCNN and Tensorflows and Keras etc. will be used in order to increase the efficiency of the output results.
Smart City
Agrocision ( Agriculture and precision)
EM026 »
PROBLEM
Farmers are receiving less yields than expected because they are subject to the unpredictable climatic changes which is resulting in Zimbabwe importing food and slowly losing its bread basket status.
SOLUTION
Agrocision offers farm management using information technology to ensure that plants, animals and the soil receive exactly what they need to foster optimum health and productivity through analyzing and reacting to data gathered from inter and intra-field variability of crops.
Target Market
Large Scale and Small-scale Farmers in Zimbabwe.
Industrial Effectiveness
Agrocision will help the government in implementing industry 5.0 in the farming sector as the system uses Internet of Things (IOT) and it will also be effective in paving way for Smart Cities.
Economic Feasibility
Agrocision will be available in two modes, outright purchase and subscription to curter for everyone.
Approximate Budget for one unit: USD $1500
Expected Breakeven: After 20 units
Expected Timeline: 2 Months
Food Related
Adaptive Greenhouses
EM027 »
Our project aims to update the current greenhouse infrastructure in order to make it more resilient against the new challenges of climate change, all keeping the cost low in order to update existing infrastructure intead of replacing it, minimising the impact on local farmers and their communities
Data Management
Reconfigurable matrix co-processor
EM029 »
The device is a co-processor that accelerates matrix operations. Its design supports the completeness of matrix algebra, which was proved in the research of hardware and software complexes. This completeness is provided by the isomorphic mapping of vector algebra to the matrix one. Vector algebra was chosen because of intuitive implementation of the one vector with fixed length computation in hardware without significant costs. The description of matrix algebra through vector`s one allows to provide full support of matrix algebra. As the signature operations were chosen the operations of primitive-program algebra (PPA), which are commonly used in programming.
In the co-processor`s architecture is used the logical-subject principle, according to which control and executive parts are separated and connected by forward and backward connection. To support isomorphic mapping, a special block is used – Isomorphism Support Unit (ISU). Its goal is to calculate addresses and control operations on vectors. In addresses calculation the counters are used. And for the work of the entire unit the responsibility is brought by the special control structure, which is described by the logical equations for the control signals. All this allows the programmer not to worry about the implementation of matrix computations. The programmer works directly with Control Unit (Ctrl Unit) of the entire co-processor. The Ctrl Unit supports all PPA operations as it is based on the RISC architecture.
Input-Output Unit (IO Unit) contains modified multi-lines Serial Peripheral Interface (SPI) in half-duplex mode. The interface besides SPI`s standart control signals, such as synchronization signal and device selection, has also the interrupt signals from the co-processor. And the data bus uses multiple lines to transfer the data fast. IO unit has a counter that calculates the memory address for reading and writing, it allows to work independently of the Ctrl Unit. In order to get and access the co-processor`s memory a special key should be given. If the given access key is incorrect, the address counter will be switched on timer mode. The access to the co-processor is denied until the counter will be overflowed, then an access key should be given again. For the correctness of the operations and description of the software interface is responsible for the control scheme, which is described by the transition diagram of the state machine. All transitions occur at the rising edge of the synchronization signal.
The project uses partial cells reconfiguration. Namely, for control circuits of IO Unit, ISU and decoding schemes of instructions in Ctrl Unit. Reconfiguration of ISU control circuit allows to declare new operations and change the old ones. Reconfiguring IO Unit`s control circuit allows to change the software interface. And change the decoding scheme - the instructions themselves. Also, the parameterization of the co-processor allows to adapt it to certain limitations of the different FPGA chips.
One of the main reasons for using FPGA is the use of partial cell reconfiguration, as this technology is one of the main advantages of FPGA. Parameterization of the co-processor allows to implement it on a wide range of devices. Also, parts of the co-processor are used as blocks in the Platform Designer tool, which will allow them to be used in other projects.
Other: Smart city + food related
Smart garden
EM030 »
It is about how we have a good garden , how we have healthy food, and how we do them in smart manner .
Food Related
Sustainable Agriculture
AP091 »
We are going to build a cloud-based remote hydroponic farm environment system that will capture the raw data from the farm, remote plus autonomous control of the farm activities, automated crop growth estimation & analysis. We are already working on this project based on a microcontroller and moving towards the FPGA based implementation due to its several benefits.
Other: IOT
Stolen Vehicle Recovery - Anti Theft Solution
AP093 »
Vehicle theft is becoming a growing problem. Thieves are very organized and can steal a vehicle in seconds as statistics show all over the world. Meanwhile, police fail to recover more than half of stolen vehicles. For criminals, it is a low-risk way of making a fortune,
According to Interpol, the use of the Internet has contributed to a dramatic increase in the resale of illicit automotive components in recent years.
This has become a worry for car owners, insurance providers, and car manufacturers.
Most anti-theft solutions are run by a vehicle's central command, which is easy to override.
Stolen vehicle recovery has become more convenient with IoT technology and GPS sensors.
IoT devices that can be installed in cars have low maintenance costs and are energy-efficient.
The devices that are small and easy to conceal can be fitted in multiple spots in a car.
They can get a stolen vehicle’s location based on the slightest signal, and they also offer a wide area of coverage.
So in our design, we aimed to show the intelligent use of FPGA and Azure IoT in detecting thefts very easily.
Features:
1) GPS tracking
2) Interactive user interface
3) Owner's Face recognition
4) Towing detection
5) Vehicle engine blocker(Blocks engine starter when jammer detected)
6) Manual & autonomous driving modes