Deadline to register is Jun 30, 2019.
Teams can still edit your proposals during judging period.

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📁Machine Learning
👤Asmaa Ibrahim (Zewail City of Science and Technology)
📅Jul 01, 2019
In this Project we aim to use the powerful capabilities of fpgas to build a brand new type of glasses that can provide users with a visual representation of what they think. Those who can benefit from an application like this can be graphic designers, crime witness or maybe a gamer. It can also provide a means of communication for those who cannot verbally communicate. This can have endless uses in multiple fields and can even be developed for further applications.
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295
votes

👀 1192   💬 22
📁Machine Learning
👤Elisha Odemakinde (Obafemi Awolwo University, ile-ife)
📅Jul 08, 2019
In our world today there are tasks humans can't achieve or accomplish but can be achieved when ability is given to machines to do so. This project is all about having a collaborative interaction between humans and robots via hand gesture recognition (Machine learning) to accomplish a desirable task. This project is implemented In such a way that the machine learns co-currently from the human and gets used to such task for future purposes. We therefore believe this can be achieved using a computational device (The intel FPGA DE 10-Nano Kit).
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0
votes

👀 65   💬 0
📁Machine Learning
👤mohamed osama (None)
📅Jul 01, 2019
Our project is a firefighter robot that use AI and image processing to detect fire and deal with it, without human interaction
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0
votes

👀 66   💬 0
📁Machine Learning
👤. . (.)
📅Jun 30, 2019
.
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0
votes

👀 112   💬 1
📁Machine Learning
👤Mohamed Osman (None)
📅Jul 01, 2019
The Aim of the project is to create a modular-based low-energy digital design to implement Convolutional Neural Networks CNN using Stochastic-Computing SC approach. SC has a big benefit over binary computing in its low-energy requirements. Hence, enabling using sustainable energy-supplies like Solar photo-voltaic cells with batteries.
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0
votes

👀 90   💬 0
📁Machine Learning
👤Meghana Shanthappa (Intel)
📅Jul 01, 2019
EEG signals are used to build mode of game and will be used in future VR/AR. We can have multiple applications . We are using FPGA Nano kit to implement .
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0
votes

👀 81   💬 1
📁Machine Learning
👤Eugene Savastyuk (Unaffiliated)
📅Jul 02, 2019
Industrial drone auto piloting, waypoint mapping and navigation using multiple inferences running concurrently on the edge device, using OpenVINO on main board(s) and couple of Movidius sticks with pretrained networks. End result will be actual drone flying through the arbitrary obstacle course similar to real-world industrial environment. Big part of this effort is aimed towards safety (human interaction, dmz zones etc.).
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1
votes

👀 94   💬 0

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