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* Deadline to register is October 31, 2021. Teams can still edit your proposals during judging period.
Marine Related
Oyster Farm Autonomous Monitor

AS040 »

An oyster farm monitor system to detect when cleaning or repair is needed.

The Oyster Farm Autonomous Monitor project will consist of an anchored buoy system that will continuously monitor an oyster farm under the water using video analytics and other sensor data. The data, processed locally on the edge, will determine when oyster bed cleaning or repairs are due as well as produce alerts in the case of extreme swells or possible theft. Other sensor data such as pH level, water temperature, ambient temperature, and visibility are also added to the AI models to help produce future predictions well in advance of needed cleanings.

Mixing the team member's backgrounds of hardware engineering, marine biology, and consumer product architecture, The Educated Robot team has accepted the GEF SGP Biodiversity proposal of "Mauritius: Improving Livelihoods of Communities - Oyster Farming for Jewelry Making in Rodrigues" to present one solution to help our world. This unique use case is a perfect real world example highlighting the capabilities of edge computing using Intel Edge-centric FPGAs for advanced image processing. Analog Devices plug-in cards are used to gather additional diverse sensor data to be stored and analyzed using Microsoft Azure Cloud Services.

Other: Warm homes and clean air for everyone.
Smokeless Chimney

AS041 »

There are 10 million existing wood stoves in the USA alone. Each wood stove is a gathering place and source of heat when the power goes out. People who use wood stove are a passionate group. We have 2 issued patents and one pending patent. We have developed the components to measure the opacity of the emitted smoke and control the combustion reaction to adjust for a cleaner burn. This will bring wood stoves into the 21st Century.

Smart City
A

AS042 »

A

Data Management
Senior Network Engineer

AS043 »

RESUME PAYAM KHOSHBAKHT

EDUCATIONAL RECORDS & CERTIFICATES

COMPTIA CERTIFIED SECURITY+ , 2010
COMPTIA CERTIFIED A+ , 2009
Cisco Certified Network Professional (CCNP), 2009
Cisco Certified Network Associate (CCNA), 2009
Cisco Certified Network Associate (CCNA), 2005
Microsoft Certified Technology Specialist ( MCTS ) , 2009
Microsoft Certified IT PROFESSIONAL ENTERPRISE ( MCITP
ENTERPRISE ) , 2009
Microsoft Certified IT PROFESSIONAL ( MCITP ) , 2009
Microsoft Certified Systems Engineer (MCSE 2003) , 2004
Microsoft Certified Systems Administrator (MCSA 2003) , 2004
Microsoft Certified Database Administrator (MCDBA 2000) , 2004
Microsoft Certified Systems Engineer (MCSE 2000) , 2004

Best Regards,

PAYAM KHOSHBAKHT

Industrial
Sustaining Skilled Labor

AS044 »

My proposal is for a technology suite that uses hardware-accelerated computing features to maximize energy efficiency for industrial use cases. Object detection and classification techniques can be used to evaluate video of occupational tasks in a way like never before.

My technology suite will include a master unit with the FPGA that will capture video and other sensor input from skilled labor tasks. The goal is to identify ideal posture and workflow which can be used to train employees and monitor performance. I would like to have AR safety glasses that could help optimize dexterity and reduce fatigue.

Seamless integration and reasonable power consumption are important to create a system that is successful in the workplace. New technology will allow the entire system to be optimized. The flexibility of the FPGA means that the device could rearrange itself depending on the scope of the workspace (room, table, personal area, etc) for maximum efficiency.

Currently I have an NVIDIA Jetson, Raspberry PI, and another SOC here that was used for Android IoT. I think technology can help document skills that are no longer taught and also make workers more efficient with less fatigue. I have worked on this concept before and think it can be successful. Thank you for considering my application.

Autonomous Vehicles
Autonomous Airship Serving Humanity

AS045 »

We want to build batteries powered, autonomous, low cost (to be easily available globally), airship to monitor,

1- 24x7 monitoring of Agriculture to better protect and enhance yearly yield.
2- Regional environmental data to protect environment,
3- Low cost commute for carrying,
(a) Food
(b) Commuting waste to remote sites
(c) Year round, 24x7 monitoring of different habitats, environmental conditions globally to better protect and enrich environment.
4- Emergency situations monitoring to eradicate root causes, like wild fire.

Water Related
Wastewater Detection

AS046 »

Our project will be based around wastewater detection in rivers and lakes. Specifically we will be testing in the Pittsburgh rivers region because in times of heavy rainfall, waste tends to end up in the rivers due to infrastructure problems. Our device will be able to tell the concentration of wastewater in the location where the sensor is placed.

Smart City
Blending Tech with TEK

AS047 »

As we move forward into a post-climate-change future, temperature regulation proves to be increasingly important for human survival and comfort, which makes up a significant portion of a building’s energy consumption. As such, our project focuses on improving the energy efficiency of temperature regulation in buildings through the use of Traditional Ecological Knowledge and smart-home design (with the help of the Azure cloud).
Ventilation, cooling, and heating account for 33% of energy use in U.S. commercial buildings, which relies upon conventional systems of cooling down air via refrigerants and pushing the air into rooms. However, there are different methods of cooling that utilize more passive properties of airflow. The Eastgate Centre in Zimbabwe is the biggest example of this.
The Eastgate Centre was designed with biomimicry in mind, to emulate the ability of termites to cool down and ventilate their nests while using less energy than conventional systems. It succeeds in this: despite still using high-powered fans, the Eastgate Centre uses only 10% of the energy compared to similarly-sized buildings using air conditioning, and uses 65% of the energy while actively cooling.
However, the Eastgate Centre’s design leaves some room for improvement, such as the usage of fans. Termites are able to do what they do by selectively opening and closing vents in the nest to maximize the flow of cool air. Our project improves upon the Eastgate design by more closely imitating the termite model and utilizing an FPGA-run system that uses actuator-operated windows to control airflow and further reduce energy consumption. It can accomplish this by sensing the temperature outside and inside of the building at the actuator locations, and opening and closing the windows accordingly. By opening the windows when it is cooler outside, the building takes advantage of cross-ventilation to passively draw in cool air without the use of fans. It will not be the same temperature on every side of the building; thus, the system opens the windows only at the specific sensor, and keeps it closed on the hotter sides.
An additional problem with both conventional AC and with the Eastgate Centre design is that they are reactive rather than predictive systems. Our design connects to the Azure cloud to obtain weather forecasts, which it then uses to pre-cool the building. This not only means the cooling system doesn’t work as hard during a specific period of time, but this also helps reduce energy use during an electric grid’s peak hours. It is also easier for the system to cool the building while it is still relatively cool than to do so when it has already become hot.
Overall, our system improves upon previous designs to reduce energy consumption when cooling buildings in three ways: by utilizing passive cross-ventilation as a cooling method, by taking into account the weather forecast, and by using the FPGA to monitor and manage all of these components together. By using an embedded system (the FPGA and the cloud) we are able to create a more proactive and energy efficient system than conventional AC systems.

Water Related
Irrigation Truth

AS048 »

We propose to develop a miniature and low power Soil Moisture Radar (SMR) designed to be mounted on either a land based farm tractor or a low flying airborne platform such as a drone. A GPS module will allow the system to construct soil moisture maps during normal daily farm operation. These maps will allow managers to view the field as a whole and to identify irrigation patterns that are not as easily recognized at ground level, reducing water use and allowing selective crop irrigation thereby reducing water consumption and increasing crop yield.

Health
3d scanner for human fat evaluation

AS049 »

The goal of this project is to develop a 3d scanner to evaluate the body FAT parcentage by processing the cloud points get by rgbd sensors. The results Will be collected by IOT and send to our aws server to analysis.

Industrial
Efficient Robot Controller

AS050 »

With 15 bears experience in building smart service robots, our goal is to leverage the flexibility of the FPGA with sensors attached to the board to create a novel realtime control system for a perceptive robot, which is able to carry out novel tasks at the intersection of Robotics & Machine Learning.

Food Related
Flood Control Monitoring Laboratories

AS051 »

Want to have students work in teams to create a flood monitoring system for hurricane flood control in school parking lots, bridge underpass and street to school passage during heavy rains. I want students to learn how important the FPGA is to the whole picture of edge to cloud A.I. They need to know FPGA's create a significant alternative to processing data at the point of collection. This contest would be highly instructive in A.I. Classes. Teams have yet to be assigned. I would like participation in this contest to be part of a laboratory where they can explore what the fundamentals of FPGA's are and how well they work with Azure Cloud.