Smart City
Smart City Lightning (Street lighting)
EM008 »
This project is about building a Smart City Lightning System: Specifically streetlights for this particular project. Operating street lights are very necessary for security and safety in our communities and very costly as well. Sustainability when incorporated would improve efficiencies of the system in relation to its key objectives (security and safety) whilst cutting down cost as well. We focus on improving the efficiencies of streetlights for security and safety of our roads and cities in a smart approach. Explained below are some aspects of this project.
City cameras are almost found everywhere in our cities. The quality of these cameras is useless without proper street lighting. To do this, we include analog light sensors to read the brightness of the environment and allow the street light to give a certain brightness to improve illumination. The duration of day and night are also incorporated as well to deliver the right amount of lighting.
A sound reception device with trained machine learning models for different kinds of sound that depict a car crash, gun shot(s), intense noise (from human or not) indicating a variety of responses from a bad event would be incoporated as well. This concept would be applied, especially in areas where city cameras are around. Should in case a gunshot is heard, within a considerable radius in the surrounding, streetlights would be brightened to allow the city cameras have a better recording of the incident with and see how the shotter moves around when spotted in the city camera: This would be applied to other scenarios as well. In so doing, security agencies are alerted and this system would help them track the armed robbers or unwanted events as well (could be an accident, riot, etc).
All of the streetlights would be connected and inditcated on app with a map. This would help to indicate various conditions or states of the streetlights such as those that are down in real-time and need repairs, amongst others.
With regards to the above, the cost of operating streetlights would be controlled sustainably whilst improving efficiencies of streetlights for security and safety on our roads and cities.
An FPGA is ideal for this case since it is very fast and embraces parallel computing.
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
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).
Industrial
Conditon-based monitoring using FPGA
AP023 »
Condition-based monitoring device for industrial setup using FPGA
Food Related
TerraMon: Climate Change and Soil Health monitoring
AS014 »
Research has shown that climate change impacts soil PH but long term studies have been challenging to conduct at large scales. Terra-Mon hopes to leverage power efficient edge computing, analog device sensors and the cloud to create a solution that can be deployed in remote regions and relay data back via satellite (SWARM), long range low bandwidth (LORAWAN) terrestrial links as well as faster urban links (WIFI or Cellular) to monitor soil quality. Terra-Mon measures soil PH, moisture and temperature. Once the data is measured, the data is preprocessed at the edge to make sure the data stream is as compact as possible.
A neutral PH of 5.5 to 7.5 is ideal for growing food. Food security over time will be impacted by climate change as USDA zones change and the need to amend soils changes from our standard operational model. Researchers need to start gathering a healthy time series dataset today to create appropriate models for changes in soil health. For Farmers & Hobbyists can use Terra-Mon to monitor real time properties and see the how various soil products impact soil health and yields.
InnovateFPGA allows us to leverage the combination of Intel’s edge compute capabilities, Analog Devices daughter boards and the power of Azure’s IoT stack to create a solution that can be used to gather data that will allow for a comprehensive understanding of soil health and ultimately understand how to improve soil quality for improved harvests and food security.
Food Related
Dregs Reloaded
AS015 »
Good food is the foundation of genuine happiness.But once discarded, its also the source
of 8-10% of greenhouse gas emissions of our earth. According to the latest UNEP (United Nations Environmnet Programme)
food waste index report, the true scale of food waste and the opprotunities related to it largely untapped and under-exploited.
In US restaurants alone,about 33 billion pounds of food is wasted each year. If these discarded food is
collected in an inhouse reservoir, it could be reused to power up via biogas and the produce manure to grow
in-house vegetables.
The Dregs Reloaded project involves setting up an external reservoir/tank outside a restaurant or home
which is used to collect food waste. The tank includes a pulverizing and churning motor which is activated at regular intervals to accelerate the
decomosping process. It also monitors temperature, biogas, food level etc, which could be analyzed making use of cloud storage
and computing. The biogas generated from the tank could be used for restaurant cooking. The decomposed food
waste can be collected and used as fertilizer. Temperature,light & gas sensors can be monitored and analyzed , so that the entire system/feedback controls can be used efficiently.
Water Related
Design and Development of FPGA based Smart Sensors for Water Quality Analysis
AP025 »
Water is indispensable for the survival of every life. It needs to be protected and preserved for generations to come. Water harvesting and inadequate management of this natural resource will also contribute to its contamination. The prevention of fluorosis, a chronic illness resulting from excessive fluoride consumption, requires monitoring of all water sources in underground chloride tanneries in endemic areas. The deployable field color analyzer based on design low cost, smart sensors based on portable devices for determining chloride and lead in water. DE10-Nano Cyclone V SoC FPGA Board based set-up has been built for access through mobile apps and display the concentration of the measured sample. It has the advantages of the Internet of Things (IoT) for real-time deployment and continuous monitoring. The smart sensors developed can be integrated with it for continuous tracking of chloride, lead measurement and water quality.
Health
Family health assistant
PR014 »
Integrate the sphygmomanometer, stethoscope and thermometer into one platform and realize the intelligent evaluation of measurement results. At the same time, it will have the function of reminding measurement every day, upload the measurement results to the cloud and form a report. Doctors in the hospital can realize remote consultation by observing the daily measurement data, give reasonable medical suggestions and provide medical help for patients who are inconvenient to move
Other: Autonomous Vehicles + Food Related
Mobile Precision Agriculture Platform
EM010 »
The Mobile Precision Agriculture Platform is a battery-powered, lightweight 4x4 vehichle, used for probing the soil on the field and for applying mixtures of fertilizer and pH regulators, precisely synthesized in real-time, based on the measured parameters and the requirements submitted to the cloud platform. A camera is used to identify objects in the field and record images for recognizing pest.
A probe mounted at the front of the vehicle tests the soil, before the vehicle crosses over the measured ground to apply the required substances. In addition, it can be equipped with pesticide sprayers. The system is autonomous, using GPS navigation and following way-points uploaded to Azure. Spatial and temporal sensory data, together with device telemetry (temperature, battery status, etc.) are transmitted in real-time to Azure for analysis.
GIS is used visualizing spatial sensor data and perhaps also for navigation. The accelerometer provides stability control and ultrasonic sensors are used for collision detection.
The HPS is mainly used for connectivity, vision and GPS, while the FPGA is used for sensor data acquisition, vehichle control and fertilizer mixing.
The Azure Cloud architecture makes use of Azure IoT, Cosmos DB, Azure Functions and if time permits, machine learning algorithms to predict crop quality based on the parameters measured repeatedly, crop type, weather data and geographical location.
It will not be easy to quantify the crop yield results empirically, without a full season with an already working device - though research material in precision agriculture can be used for these purposes. It will however be straight-forward to quantify the equipment, labor and energy cost, as well as the environmental impact, compared with other methodologies used in (precision) agriculture.
The design will make full use of FPGA I/O and parallelism, while also outlining the solid advantages provided by the HPS and the convenience of utilizing Microsoft Azure.
Other
Process variation study on Nanosheet FET
AP026 »
Process variation study on Nanosheet FET,
Marine Related
Waterway cleanup
AS017 »
Using AI to recognize plastic or other waste present in waterways. The location will be recorded and information on the identified waste will be transmitted to a clean up crew.