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.
Transportation
IOT SOLUTION ON FPGA
AP104 »
Image Processing is used to modify pictures to
improve their quality and extract structured information. The
need to process them in real time has lead to implement them
in hardware. To implement image processing algorithms using
high level languages requires thousands of lines of code which is
inefficient as it takes more time. Alternate solution is using Xilinx
System Generator, which is a modeling tool where design is
captured by using xilinx blockset from library environment. The
main advantage of system generator is Xilinx blocksets provide
close integration with MATLAB Simulink that helps in cosimulating FPGA module with pixel vector provided by
MATLAB Simulink blocks. The image analysis plays an
important role in medical imaging. This paper provides image
analysis of a CT scan image. The algorithms are performed on an
image to extract significant features such as image enhancement,
contrast stretching, negative of image, image segmentation and
detecting the edges for a CT scan image. The area and power
parameters are evaluated using reconfigurable platform -Artix-7
FPGA.
Smart City
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AP107 »
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Autonomous Vehicles
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AP108 »
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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