Giulia Attanasio
Event-based camera communications: a measurement-based analysis.
Rel. Paolo Giaccone. Politecnico di Torino, Master of science program in Communications And Computer Networks Engineering, 2019
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview |
Abstract
Address Event Sensing (AES) represents a completely new way of sensing reality. Legacy vision systems rely on sensors that capture intensity images at a constant rate (e.g., $30$~fps) leading to high latency and redundancy in terms of information and computation. This results in wasting precious resources such as energy, CPU, memory access, storage and waiting time for superfluous frames. AES silicon retina instead are bio-inspired sensors that asynchronously emit spikes, i.e., events, whenever they occur. An ON/OFF event is a positive/negative log intensity change that is registered at a pixel whenever a brightness threshold is crossed. Since the concept of frame is completely eliminated, this approach allows to significantly reduce the latency between photodiode illumination change detection and its off-chip transmission down to $\approx 15$~\textmu s.
By contrast, the time it takes to build a single frame is $33.3$~ms for a video at $30$~fps resolution
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modify record (reserved for operators) |
