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.
Marine Related
Biodiversity
AP092 »
I want to create an IoT based solution for the given SGP project Idea "Mauritius: improving Livelihoods of Communities- Oyster Farming for Jewelry Making in Rodrigues" which will collect all the problem statement mentioned data and share the data as well as specific high swell, theft warning through the azure cloud platform.
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
Other: SGP - Biodiversity
MEDICINAL PLANT PLUCKER
AP094 »
Plants are considered as one of the greatest assets in the field of Indian science of medicine called Ayurveda.Some plants have it's medicinal values apart from serving as the source of food.The innovation in the allopathic medicines has degraded the significance of these therapeutic plants. People fail to have their medication at their doorstep instead went behind the fastest cure unaware of its side effects.
The main reasons are extinction of medicinal plants and lack of knowledge about identifying medicinal plants among the normal one's.Plant from the basis of Ayurveda and today's modern day medicines are great source of income.Due to cutting of forests,lot of medicinal plants have almost become extinct.Because of Ecosystem is the major part of Biodiversity,Where plants plays a crucial role. So we have to replant the extincting medicinal plants to improve our Ecosystem And to do not disturb Biodiversity.
So there is an immediate need for us to identify medicinal plants and replant them for next generations.Medicinal plants identification by manually means often leads to incorrect identification.
This project aims at implementing a System which can be able to identify some medicinal plants and Plucking of plants if they are medicinal.
Autonomous Vehicles
Autonomous Pick & Place Robot
AP095 »
The idea of this project is to create an autonomous pick and place robot. This robot will do its movement through line follower robot using IR sensors. The main function of this robot is to pick an object and place it on a desired place; it will select its destination through QR code scanning e.g. there’s a box at X place and a rack at Y place, the robot will scan the QR code of the box at X place. After scanning, next step will be the selection of placing the carried object; robot will select its dropping place after going through the program designed in it using Arduino. Now that our path and dropping place has been selected, object will be placed at Y place as the scanned box belongs to it.
Other
Crisis
AP096 »
One of the major issues that we are facing today is overpopulation which results in food crisis
Autonomous Vehicles
Autonomous Pick & Place Robot
AP097 »
The idea of this project is to create an autonomous pick and place robot. This robot will do its movement through line follower robot using IR sensors. The main function of this robot is to pick an object and place it on a desired place, it will select its destination through QR code scanning e.g. there’s a box at X place and a rack at Y place, the robot will scan the QR code of the box at X place. After scanning, next step will be the selection of placing the carried object; robot will select its dropping place after going through the program designed in it using Arduino. Now that our path and dropping place has been selected, object will be placed at Y place as the scanned box belongs to it.
Other: Agriculture
Plant Disease Identification Robot
AP098 »
In order to overcome the major problem, Diseases in plants. A robot is designed that detects the leaf disease using image processing and Machine learning is deployed. The robot is build using a controller known as Raspberry pi 3 and the Raspberry pi 3 is interfaced with motor driver L293D which operates the geared motor. The robot is controlled via IoT using Blynk app an android mobile application which is interfaced with Raspberry pi unique Token. This Blynk app controls the entire operation of the robot which is integrated with machine learning model. We have interfaced Multispectral image sensor integrated with CMOS spectral filter which captures image data at specific frequencies across the electromagnetic spectrum. VNC viewer (Virtual Network Computing) software used to access Raspberry pi 3 operation. By using the IP address of the raspberry pi 3 we can login in any device to access and control the performance. The robot moves towards the plant and captures the RGB image along with raw reflectance NIR (near-infrared) and Rededge images of the leaves. The captured image is stored and also monitor the farm lively via IoT using the camera interfaced in the robot from anywhere on any device and an HTML web page is developed to diagnose plant and check whether the plant leaf is healthy or infected. Once the image is captured the URL is generated and performs to convert NIR and REDEDGE images to NDVI (Normalized Difference Vegetation Index) then it provides the image within the web page which diagnosis the leaf with the given dataset using CNN algorithm and finally it concludes that the plant is healthy or infected with plant name and disease name in VNC viewer.
Other: Smart Robot assistant
COOPER (Co-operative Personal Ergonomic Remotely accessed)
AP099 »
This project is targeting those people who need a companion/assistant in their daily life.
A remotely controlled robot with actuators and sensors for human interaction, capable to control the surrounding devices with IOT setup.
The bot is controlled wirelessly by a centralized processor (DE-10 nano) having customizable instruction sets along with a Neural Processing Unit for image processing. The proposed architecture can control multiple robots with a single FPGA device to share processing resource within multiple robots via same IOT setup.
Water Related
Water contamination detection
AP100 »
Water purity identificationand detection
Marine Related
Mauritus : Improving Livelihoods of communities oyster farming
AP101 »
IoT technology is playing a major role in advancing our lives not only in industry but also in every aspect of our lives. Although IoT technology cannot synthesize oysters, it can serve as a tool to increase production by monitoring the environment in which oysters grow. In this project, we will use IoT and cloud technology to help increase women's income. Specifically, by performing image processing on the FPGA using a camera, it detects the symptoms of excessive swelling of oysters early and generates a warning so that divers can take action early. It will use an accelerometer to detect the movement of sea waves and other unusual movements, giving an early indication of whether a burglary is occurring. This will save women from wasting time in front of the beach, and this precious time saved will contribute to making the world a brighter place.
Food Related
AgroSimu
AP102 »
This project is all about educating and training farmers for better strategies that provide enhanced harvest while ensuring minimal damage to the environment. It is a simulator, much like a game, for simulating the whole process in agriculture and customizable based on the location and type of the crop. The simulator will fetch data from the cloud, in which data including rain-level of the day, moisture and humidity, temperature and other important factors of the environment will be stored. These data will be collected from different locations, processed and stored in the cloud by FPGA. The key idea here is integration of knowledge of the environment for an extended period while only exposing past and present data at any point of time in the simulation.
FPGAs will be deployed in several locations for a long period to collect adequate data and transmit them to the cloud. To reduce the data traffic pre-processing will be done on the FPGA itself.
Actions
The simulator has actions such as preparing the soil, transplantation, applying pesticides and fertilization. One should take appropriate actions at the right time at the right quantity based on the information about data available for a successful result at the end.
Benefits
Farmers will better understand the relationship between the actions and yield. It includes when to perform an action such as preparing the soil, fertilizing the field and what quantity things should be applied.
React wisely to environmental factors that are always hard to predict and control.
Can be used as a platform to attract the younger generation towards farming.