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* Deadline to register is October 31, 2021. Teams can still edit your proposals during judging period.
Food Related
Food Saver

EM044 »

Food Saver aims to reduce food waste in resorts and hotels by preventing overproduction and improving storage and service conditions.

Other: Biodiversity
SGP: AIoT based platform for snow leopard tracking

EM045 »

The goal of this project is to develop an AIoT based platform to detect and track snow leopards in Sanjiangyuan region, China.

Industrial
Three-headed dragon

EM004 »

Designe special version of RISC-V MCU with three cores and special supervisor logic. The cores will work in parallel and independent with same as programm. The special logic part controls result of calculations and outputs for detect broken core/result. The best result is do working device with broken some parts by any reason and restore working all cores if possible.

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.

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.

Food Related
Soil Monitoring and Irrigation Control System Using Internet of Things

EM013 »

This project recommends Internet of Things based sensors network for cultivation use. This Sensor System Consist of sensor to detect wateriness of sand, sensor to detect temperature of soil, and ph. sensor for soil. This all sensor connected to each other FPGA kit that will be communicate with Azure cloud . After uploaded to Azure IoT, The agriculturist can access all the
data on his mobile phone and tablet. This system also
controls water necessity and fertilizer necessity for these
sensor data for different type of crop in different time of
year. The saved data of sensors can be further inspected and
used for future uses. This IoT based methodology provides
atomized irrigation and fertilizer usage in actual time to
farmer which is very useful.

Transportation
AN ECO-FRIENDLY POTHOLE DETECTION SYSTEM FOR PEER-TO-PEER VEHICULAR COMMUNICATION

EM025 »

Vehicle movement on most African roads could be quite frustrating and unpredictable. This is because these roads are made with substandard materials that would debilitate within a short period causing potholes and broken ways. Lots of lives have been lost in road accidents because road users are unaware of the current condition of the roads ahead. To address the problems associated with bad roads, intelligent traffic management infrastructures such as laser scanners and vibrators seem to be a viable solution to the increasing pressure on road infrastructures. However, these applications are expensive and require institutional intervention to setup on highways. The use of navigation maps have been economical for drivers but their focus has been on routing efficiency rather than safety provision. This project proposes a system that takes cognizance of the current state of road infrastructure by detecting potholes on driven roads and communicating road condition to a pothole database as well as oncoming vehicles up to 2 miles away from the spot, along the same road path.

The proposed system is divided into two modules; a pothole detection module and a vehicular communication module. The pothole detection module uses a conventional camera to capture road condition up to 100 meters away from the moving vehicle and processes these images using a pothole detection model that computes at real time. The model will be mapped to a resource efficient architecture suitable for FPGA implementation and an embedded computing environment. The vehicular communication module uses a data communication model to exchange stacked pothole attributes with bypassing vehicles to communicate the condition of the road ahead. Pothole attributes such as size, location, estimated depth and distance are stacked for the last 2 miles and are communicated in sequence to on coming vehicles. This attribute information is also sent to a remote cloud database that serves as information repository.

Industrial
FPGA controlled robot arm

EM028 »

The aim of this project is to build FPGA controlled robotic arm. The robot arm will have higher speed when it is compared to other robot arms which are controlled by the traditional ARM processors

Food Related
Albania: Smart and IoT solutions for agriculture and farming

EM033 »

Summary: Provide smart farming technologies and IoT for all type of greenhouses and farms.
Details: The project will consist in gathering greenhouses and/or farms sensors data into a central device that acts as an IoT gateway. Pest and Plant diseases data will be recorded to Azure storage and insight analysis using Machine Learning techniques will be used to classify the recorded diseases. An inference model will be generated and transmitted to the IoT Gateway (DE10-nano) for local and immediate determination of plants conditions to enable further control actions. The inference model will consist of neural networks parameters from which a neural network IP Core will be reconstructed in the FPGA portion of the cyclone V SoC device found in the DE10 board. The HPS side will handle the communication with the sensors and with the cloud, and the azure cli C libraries will be installed to enable the communication with azure cloud.
The project aims to minimize the time taken to manage the farm or greenhouse operations (data collection, analysis and insight, control actions) as well as to avoid the excessive use of chemicals.

Food Related
Fpga based aquaponic food production integrated with computer vision

EM036 »

The project will create a smart aquaponics system that uses fpga for fast computation and integration. It will also be supported by computer vision.

Other: Biodiversity
Snow Leopard Detection

EM038 »

Design low-power heterogeneous neural network accelerator for CNN (Convolutional Neural Network) application to identify snow leopards. Internet-connected cameras will be used to collect photos of areas to detect if any snow leopard has passed through that area. These photos will be uploaded to Microsoft Azure Platform and then be processed on an FPGA using CNN.

Smart City
Package deliverance

EM039 »

This system proposes an update in packages deliverance system, improving how couriers deliver their packages optimising the time to deliver it and the number of packages delivered in a day.