High bandwidth, low latency perception framework

  • High bandwidth, low latency perception framework
EEECS Summer Research Internships 2018

Proposed Project Title:

  • High bandwidth, low latency perception framework

Principal Supervisor(s):
  • John Bustard


Project Description:

Low cost sensors and single board computers have made it affordable to have a very large amount of real-time sensed data. These represent a much greater challenge for storage and processing than traditional IoT devices which can often be managed with short text messages.

The goal of this project is to further develop our real-time sensor network that is being developed in the Makerspace and IoT lab.

The system we are developing includes networking and management of many devices, low latency network streaming of live sensor data (including video, audio, radio) to a web-based visualisation as well as logging to one of a number of network storage devices. The system will also send periodic samples to machine learning algorithms used to analyse and detect objects and events within the stream.


Objectives:

The project will include further developing this system as well as exploring new sensing modalities, deep learning processing and potential practical applications of the sensing framework.


Academic Requirements:

The scheme is open to all EEECS Undergraduates (apart from students on the BIT degree pathway and students who are due to graduate this summer)

Potential applicants should have strong programming skills, including enthusiasm for learning how to develop high performance systems based on C++, networking and sensor specific interfacing. The project includes reading and adapting existing C++ software.


General Information:

Each internship will last between 6-8 weeks and will pay a weekly stipend of £250.

Accommodation and travel costs are not provided under this scheme.

Start date: (Flexible based on student availability provided the project is complete before the start of term)

Duration:  8 (Weeks)

Location: Computer Science Building (IoT Lab)

Further information available at: http://www.qub.ac.uk/schools/eeecs/Research/


Contact details:

Supervisor Name: John Bustard
Address:

Queens University of Belfast
School of EEECS,
Computer Science Building,
18 Malone Road,
Belfast
BT9 5BN

Email: j.bustard@qub.ac.uk