Other: Educational
Logisim 2.0
AP011 »
Digital circuits design methods are considered as a fundamental knowledge base in Informatics, Engineering and Computer Science related study programs. This is because digital circuits constitute the basis of all the digital systems used these days. Knowledge of digital circuits is a basic requirement for the successful study and implementation of the complex technologies and systems, which are built around them. In courses devoted to the design of digital circuits, it is important that students are provided with the capability of verifying their designs with the corresponding experiments. This is particularly useful in teaching introductory engineering courses because the use of hands-on labs in the early years of the study suffers from restricted laboratory capacity and requires student training on the use of laboratory equipment and now due to this covid-19 pandemic it is not possible to visit physical library. Based on the above, the use of educational software tool Logisim together with cloud support provides significant advantages for the teaching of digital circuits, design concepts and computer architecture.
Transportation
AI based data-driven approach and hardware accelerators (FPGA) to predict the SoC, SoH and RuL of the LiBs
AP012 »
The advancement in digitalization and availability of reliable sources of information that provide credible data, Artificial Intelligence (AI) has emerged to solve complex computational real-life problems which was challenging earlier. However, Artificial Neural Networks(ANN) need rigorous main processors and high memory bandwidth, and hence cannot provide expected levels of performance. As a result, hardware accelerators such as Graphic Processing Units (GPUs), Field Programmable Gate Arrays (FPGAs), and Application Specific Integrated Circuits (ASICs) have been used for improving overall performance of AI based applications. FPGAs are widely used for AI implementation as FPGAs have features like high-speed acceleration, low power consumption which cannot be done using central processors and GPUs. In Electric-powered vehicles (E-Mobility), Battery Management Systems (BMS) perform different operations for better use of energy stored in lithium-ion batteries (LiBs). The LiBs are a non-linear electrochemical system which is very complex and time-variant in nature. Because of this nature, estimation of States like State of Health (SoH) and Remaining Useful Life (RuL) is very difficult. The goal is to develop an advanced AI based BMS that can precisely indicate the LiBs states which will be useful in E-Mobility. This gives useful information for the prediction of when the battery should be removed or replaced and helps to optimize the battery performance and extend battery lifespan.
Smart City
Project Watchdog
AS008 »
Project Watchdog is an FPGA-based smart home security camera. Existing solutions such as Google Nest and Amazon Ring require an internet connection and a monthly subscription to operate properly. They send the video to an external server and then perform all processing on that server, increasing bandwidth and latency. Furthermore, these devices are rendered useless without an internet connection. Watchdog will perform all video capture and analysis right on the device, regardless of an internet connection. The device will run inference using an AI model that has been trained to identify people and animals. When any people or animals are detected, that snippet will be uploaded to Azure cloud storage, for easy online access to these clips. The video footage will be stored on a micro-SD card on the FPGA board, which can be accessed if the full video needs to be viewed. Ultimately, Watchdog will perform identically to the state-of-the-art consumer solutions, but will use significantly less bandwidth and latency while not requiring an internet connection. The FPGA solution will be paired with a temperature sensor to provide a complete picture of the environment to the user.
Industrial
LIDAR
AP013 »
Laser imaging, detection, and ranging (LIDAR), is a method for measuring the distance to a targeted object in space. This works by aiming a laser at an object then firing pulses of light and receiving these using a light sensor next to the laser. The time it takes to receive the reflected light pulses can then be utilized to determine the distance of the object.
This project will utilize a laser that can be optically steered to aim in any direction. By scanning the lasers in every direction, a 3-dimensional image can be generated that gives a complete view of all surrounding obstacles. The ideal application for such a system is within self-driving cars, to detect other vehicles and pedestrians. This is also useful for 3d mapping either on land or underwater.
The Cloud Connectivity kit is ideal for this application as it includes an FPGA that is able to rapidly process the laser measurements in real-time which is essential for an application such as autonomous vehicles. The Wi-Fi connectivity combined with the Azure IoT application makes the platform even more powerful by allowing for results to be stored and processed further and then visualized to derive useful insights.
Water Related
sustainable fishery
AP014 »
Our venture is coming up with the cutting edge End-to-End product which can help the marine species and over a 5-10 years course wild capture would be rejuvenated naturally with the ultimate solution what we offer with the existing Hardware/Software but integrating and applying it for a unique way.
Blind Fishing and overfishing has made the marine resources / wild capture as no longer a bottom less fishing.
This overfishing put a trouble to 1/3 of world population especially the under-developed and developing countries who rely ocean as their cheap protein.
Autonomous Vehicles
FPGA Implementation of Multi-beam Beamformer and RaDaR Processor for Highway Pothole Detection and Avoidance
AP015 »
Automotive RaDaRs that incorporate ADAS-AD perform a wide spectrum of monitoring tasks for event-free autonomous navigation. Most such systems are pulsed RaDaRs, because this principle provides high dynamic gain, short measurement times and unproblematic signal processing. On a subjective level, such ADAS application demands an antenna radiation pattern tailor-made for its efficient functionality. Having electronic beam steering capabilities with good resolution and imaging properties, in addition to satisfying the radiation pattern morphologies and peak side lobe levels, would give more functionality to existing ADAS applications.
Potholes on interstate highways and local roads have been a bane of road transportation worldwide. The presence of potholes has a devastating impact on the vehicular platforms – with the attended fiscal element – in addition to hampering a smooth and predictable flow of traffic that is paramount to future autonomous road transportation. The impact on air quality and driveability, on account of the sluggish traffic flow over a stretch of such degraded tarmac generating harmful vehicular exhaust from the laboured performance by its engines, is substantial.
A medium range RaDaR (MRR) would serve as a capable ADAS tool in this context. An MRR sets a requirement for availability of multiple instances of narrower beams that shall enable tandem detection of as many potholes over a particular stretch of degraded tarmac. An added functionality in this operation is the processing of RaDaR 2-D data in real time. The high spatial resolution radio image data would offer a measure of the pothole parameters, against which the autonomous driving aspect could be altered by a suitable proportion in the interest of defining the traffic predictability criterion. Such operations are highly computation-intense, with the need for agile engines to be implemented in hardware and software. The inherent parallelism and reconfigurability features offered by FPGAs would ably assist by providing an opportunity to specialize the data processing implementation as needed. This opportunity is likely to grow as the logic capacity of FPGAs increases and the cost of FPGA devices is reduced. In the aforementioned context, FPGA-based beamforming and radar processing systems would be developed, tested. and deployed. The RaDaR would be designed as capable of deploying upto 10 highly-directive beams that could enable sensing over a range of 50 m, with a range resolution of few tens of cm and a spatial resolution of few cm, without the aid of external delay elements. The use of FPGAs in vehicular radar systems and an analysis of their robustness would be comprehensively evaluated during the project.
An added element in the work shall be the geo-tagging aspect, that would help generate a vast database of all such pothole detections across a span of geography criss-crossed by all types of roads. A low-latency communication infrastructure would be paramount to this operation, given the pervasive access requirements placed on the data by multitudes of vehicular systems before they encounter any pothole from the catalogue. The database requirements could be met if they are cloud-based systems, that feature elements of data and system security.
Other: FPGA Based On Network On Chip
ReDeNOC :ReConfigurable Device for Network On Chip
AP016 »
Field programmable gate array (FPGA) is become one of the best way in looking the functionality of a integrated circuit. We can download any logic to an FPGA and test the logic quite easily and then if the design is correct then we can go in for an ASIC design if required. Also if the logic is going to change very frequent then the logic can be downloaded to a FPGA and used a chip.
Network on chip is a new dimension in VLSI design wherein we use a network for transfer of information rather than a bus structure which would be slow in working as the logic of implementation goes high. Many topologies like mesh, torus etc. were introduced area of network on chip in the beginning. These topologies became slow when the logic of the system grow. For this a new topology called RiCoBiT (Ring Connected Binary Tree) was introduced in this area. This topology is better in terms of the hop count by keeping the area the same as mesh or torus.
The project we are doing, will give a new dimension for FPGA based design. Here we are going to use the concept of FPGA with network on chip. We are designing a new reprogrammable device like a FPGA using RiCoBiT topology.
Health
IOT BASED ELECTROLYTE BOTTLE
AP017 »
During recent years, due to the technological advancements many sophisticated techniques has been evolved for assuring fast recovery of the patients in hospitals. Need for good patient care in hospitals, assessment and management of fluid and electrolyte is the most fundamental thing required. Almost in all hospital, a nurse is mainly responsible for manual monitoring of the electrolyte bottle level as most Hospital uses simple electrolytes bottles with no indication and electrolyte is the most fundamental thing required in hospitals and unfortunately most of the time, the observer may forget to change the bottle at correct time due their busy schedule due to which reverse blood flow starts from patient to electrolyte bottle due to which it can cause death of patient.
To overcome this critical situation, a IOT based automatic alerting and indicating device with portable cover is proposed.
We will design a portable cover system for such electrolyte bottle. Those Wearable cover will have non contactless water level sensor
along with GPS system on sides of bottle and non contactless water level sensor will detect level of fluid inside bottles. Such data will also send to nurses and/or doctor`s mobile through GPS system and they can start or stop the fluid and also will have monitoring fluid condition with security password also.
This project is completely IOT based which will break the wall of traditional methods used in Hospital and help in more fast and securing way and helps in fast recovering of the patients in case of emergency and prevent the panic situation in the hospital causing during manual monitoring of Electrolyte Bottle and will be a great assisting to the nurses which will reduce their stress and will be a great help to their work and and will focus on hospitals to equip with advanced Technology.
In, Hospital ICU, CCU, NICU, OPD, OT, most of all department of hospital required such kind of automatic monitoring and indication system. Also Health care industries will one of the users. such monitoring system can be useful in small , medium and large size of hospitals and also it useful during home care. This device will decrease the chances of patients hazards and increases the accuracy of health care in hospital. This is of high advantage to the patients especially during night times. This system also avoids the fatal risk of air bubbles entering the patient’s bloodstream, which is a serious threat as air bubbles in blood can cause immediate death. Such a device will create assurity of non-harm condition to patients and also helpful to monitoring of data and such data can be stored and will be useful in future. This project will be a great help in preventing hospital nurses to avoid direct contact with patients in hospital.
Smart City
A design for future city
AP018 »
A city with IoT connectivity, autonomous car is a city of the future.
This project will try to accelerate network architecture search algorithm on FPGA which will usually take hours and even days on decent GPU.
Some of the project modules which are currently being worked on :
https://github.com/promach/gdas
https://github.com/promach/DDR
Food Related
Sustainable, Safe and Profitable farming using FPGA
AP019 »
A farmer’s job is quite hard. Good results depend on several factors such as the type of Soil, Water, Fertilisers, Pesticides. Excessive use of chemicals can damage a crop and can also cause harm to its consumers. To top it off, global warming has created unpredictable weather patterns and has the potential to destroy entire seasons of crops without much notice.
To solve this we will build out a system that will be able to predict the outcome of a crop season based on the various information we will collect. This system will be able to guide the farmer to use the right amount of water, fertilizer, pesticides. Predict the correct intervals to use these. Be able to detect important threats such as unexpected rodents and suggest corrective measures. The system will also be keeping account of the changing weather patterns and suggest deviations accordingly.
The system will use sensors and cameras to collect the following information from the field for real time prediction:
# Soil Properties
# Localized Weather Properties
# Collect images of the plantation and nearby areas
# Images of chemicals use, if possible quantity of chemicals used by sensors
# Water properties
# Macro weather condition
We will build out the model using the data provided by the Ministry of Agriculture and Farmer’s Welfare, Government of India and various other open data sets. The model itself will be using KNN Algorithm. It is widely used in text categorization, predictive analysis, data mining and image recognition and will be suitable for our use case.
We will use KNN algorithm on FPGA based heterogeneous computing systems using OpenCL. Based on FPGA's parallel pipeline structure. Use of FPGA will improve the efficiency of the solution compared to a conventional GPU based KNN algorithm implementation.
Marine Related
AI based Coral Reefs monitor
AP020 »
This project is an implementation of a Neural Network on the FPGA platform to monitor coral reefs and updates the details on a cloud-based dashboard. Also, ocean parameters like salinity, pH, dissolved oxygen, the temperature can also be monitored. This device would be a small battery-powered submarine that would go to selected regions in the oven and collect the data from those regions. The submarine would be autonomous but we would also provide manual control via satellite communication in case of issues. The dashboard can be used to view the route, elapsed time, available battery, and the data being collected by the submarine.
Data Management
拥抱未来
PR010 »
电子工程系参赛队伍