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- Integrated Circuit Design for Event-based Vision Sensors
Integrated Circuit Design for Event-based Vision Sensors
Supervisors:
Primary supervisor Prof André van Schaik
Description:
Event-based vision sensors are the most popular neuromorphic sensor currently, and used for numerous projects at ICNS and elsewhere. However, the current crop of sensors generates its events in a very simple way: by detecting a temporal change in contrast independently at each pixel. While this has proven very useful for some applications, there are other applications where a different method to generate the events would be preferable. This project aims to design such methods and the sensor chips to implement them. This will involve both low-power analogue circuit and digital circuit design.
Eligibility criteria:
Expertise in Matlab, Python, or C++ for software simulation. Basic experience in IC design.
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- Fault Tolerant Distributed Swarm Intelligence using Neuromorphic Computing and Local Learning Principles
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- Integrated Circuit Design for Event-based Vision Sensors
- Low-Power Acoustic Ecological Monitoring in Remote Areas using Machine Learning and Neuromorphic Engineering
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- Machine Learning for Automated Child Reading Assessment and Intervention
- Underwater Acoustic Drone Detection via Neuromorphic Models of Marine Mammal Audition
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