Autonomous Vehicles
Gogreen 2020
AS002 »
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Water Related
Maji Safi Mazingira Safi - Clean water Clean environment
AS003 »
Nairobi city ; as was formally known as a place of cool waters gets its freshwater from 3 main rivers and dam ; Ngong river ,Nairobi river and Ndakaini dam.
These rivers pass through the industrialized and informal(slum areas) where polution is very rampard . One notorius area is the dandora dumbsite in the poorest slum area in the east .
The rivers are full of industrial chemicals , human wastes,used oil plastics etc .
Maji Safi Mazingira safi is a collaborative project between the Focuslense (intelligent imaging and mapping company) ,the local government environment agancy NEMA; National Environment Management Agency and local community to help reduce pollution ,identify the water pollutants ,chemicals ,plastics etc . The solution involves installation of water ph , chemical level and image (video ) monitoring systems along the river, especially where pollution is rampant.
an FPGA kit is used with remote sensors and cloud connectivity to record chemical and pollution levels in the water and transmit to Azure cloud IoT . Azure AI image and video analytics is also used to analyze sources of pollution.
Focuslense electronics is an engineering company established in 2016 to help tackle challanges affecting poor and marginalized communities around Nairobi ,using computer vision ,AI ,IoT and 3D printing technology .It consists of a team of 5 software,hardware engineers,data scientists and a consultaing city planner.
Industrial
High-Performance Bioinspired Binary Adder
AS004 »
Most of the innovations that use bioinspiration are capable of achieving high-performance in contrast with standard proposals. In this context, we propose a novel bioinspired binary adder to accelerate the latency of the binary addition at reduced cost. With this in mind, we designed a generic n-bit binary adder using VHDL hardware description language and terasic FPGAs. The simulation results have depicted that the proposed adder is faster than the LPM_ADD_SUB megafunction as n goes to infinity. Also, the simulations have demonstrated that the adder consumes less area resources than the megafunction. Since the binary addition is one of the most important operations carried out in the ALUs, this adder proposal will accelerate the digital processing of many digital applications.
Other
Reco-LWC: Reconfigurable Lightweight Crypto for IoT applications
AS005 »
NIST announced the finalist who are participating the Lightweight Cryptographic competition for securing small devices which is targeting Internet of Things applications. We are planning to build a reconfigurable processor which runs all of the 10 candidates on FPGA using dynamic reconfiguration. The proposed processor will be evaluated using DE10-Nano Cyclone V SoC FPGA Board
and also Microsoft Azure IoT on both software and hardware perspectives
Smart City
FPGA Catalyst
AS006 »
Not yet determined
Data Management
Cactus Fish
AS007 »
Utilizing Microsoft Azure to implement IoT solutions on DE10
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.
Smart City
Converter management system connected to the cloud (COMASYC)
AS009 »
Energy is a priority for humanity, in that sense, green energies are a necessity to satisfy the energy shortage and preserve the environment. So electronic converters play a key role.
A converter management system connected to the cloud controlled by a FPGA is proposed for applications in industry 4.0. It has capabilities to integrate panels solar arrays (PVs), batteries, loads at the same time with different converters according to user requirements. That means that the proposed system manages modulation, algorithms, collect information, and distribute energy.
For example, if the user requires a PV, then the P&O MPPPT algorithm is implemented to obtain the maximum energy in the PVs.
On the other hand, parameters such as energy consumption and production of each node are important for the redistribution of energy, for this reason, this model has a single brain that is connected to each node. So, a novel control is proposed based on load balancing managed by the cloud for high-priority requests. The cloud is the single brain that controls the system and organizes the flow power among nodes. The project is focused on the Peruvian reality for places where energy has to be a priority.
Water Related
Pool Purity
AS010 »
Swimming Pools provide the perfect evaluation testbed for monitoring and control of water chemistry. PH and Chlorine levels must be monitored and controlled for the health and safety of the swimmers. Given the destabilizing effects of solar exposure, air temperature, and rainfall, additional chemistry supports stabilizing the Chlorine and PH levels. Additionally, pumps circulate the pool water through filters which impact energy consumption. Using a 28 thousand gallon pool, we intend to demonstrate the use of FPGA’s for data collection and Cloud computing for control and monitoring of water chemistry processes. Stretch goals will include using weather forecasts to anticipate and hopefully minimize both chemical and energy usage.
Because other water applications have similar issues, this work will apply to other consumers; people, livestock, and agriculture are prime examples.
Marine Related
Artun Özdemir
AS011 »
Disabled
Smart City
Innova Qhawaq
AS012 »
Our project has as its main concept, the maximum use of energy through the efficient obtaining of renewable sources within the home, from photovoltaic energy through solar panels that move intelligently through neural networks that seek the maximum use of sunlight, harvesting energy obtained from strategic places such as doors, windows and the floor; and wind energy obtained efficiently through artificial intelligence and adapted to the environment. Through the use of the D10-nano FPGA as a data processing center where the information obtained from the sensors of these energy sources sends signals to actuators so that the energy is obtained more efficiently through the exact orientation where it is collected. as much energy as possible, making the fpga work as a decision-making center to control these actuators, and also by using data storage intelligently in the cloud, neural networks will be used to optimize energy collection from sources and optimize the use of resources.
Smart City
Reprogrammability Everywhere
AS013 »
FPGAs at the edge enable computationally intensive workloads to be performed with lower latency and lower total energy cost. They also enable custom functionality to be readily swapped and implemented. However, at the moment, FPGA configuration and deployment is not a very smooth and enjoyable as it could be. Compared to deploying a web application, generating and flashing an FPGA bitstream is manually intensive and hard to scale.
Using technologies like Azure IoT for device registration and enrolment, Azure Blob Storage for storing bitstreams, paired with a local Azure IoT client on the cloud connectivity kit and the Remote Update Intel FPGA IP, we will aim to develop a scalable, efficient, and easy-to-use "one click" bitstream deployment solution. With this we hope to enable the pervasive use of FPGAs in IoT deployments, with particular focus on smart cities.
In terms of demonstration, we will build a smart city proof of concept, to show that configuration and deployment of FPGA boards for traffic data collection (as one configuration), and weather and air conditions (as another configuration) can be robust (the system can support many deployments) and targeted (we can select individual boards).