DocumentCode
801859
Title
A 100
W 128
64 Pixels Contrast-Based Asynchronous Binary Vision Sensor for Sensor N
Author
Gottardi, Massimo ; Massari, Nicola ; Jawed, Syed Arsalan
Author_Institution
Fondazione Bruno Kessler, Trento
Volume
44
Issue
5
fYear
2009
fDate
5/1/2009 12:00:00 AM
Firstpage
1582
Lastpage
1592
Abstract
An ultra-low power 128 times 64 pixels vision sensor is here presented, featuring pixel-level spatial contrast extraction and binarization. The asynchronous readout only dispatches the addresses of the asserted pixels in bursts of 80 MB/s, significantly reducing the amount of data at the output. The pixel-embedded binary frame buffer allows the sensor to directly process visual information, such as motion and background subtraction, which are the most useful filters in machine vision applications. The presented sensor consumes less than 100 muW at 50 fps with 25% of pixel activity. Power consumption can be further reduced down to about 30 muW by operating the sensor in Idle-Mode, thus minimizing the sensor activity at the ouput.
Keywords
CMOS image sensors; computer vision; feature extraction; low-power electronics; wireless sensor networks; CMOS vision sensor; asynchronous readout; background subtraction; byte rate 80 MByte/s; contrast-based asynchronous binary vision sensor; machine vision; pixel-embedded binary frame buffer; pixel-level binarization; power 100 muW; spatial contrast extraction; ultra-low power vision sensor; visual information; wireless sensor network; Acoustic sensors; Data mining; Energy consumption; Image sensors; Layout; Machine vision; Monitoring; Surveillance; Temperature sensors; Wireless sensor networks; CMOS vision sensors; energy autonomous low-power sensors; low-power; visual processing; wireless sensor networks;
fLanguage
English
Journal_Title
Solid-State Circuits, IEEE Journal of
Publisher
ieee
ISSN
0018-9200
Type
jour
DOI
10.1109/JSSC.2009.2017000
Filename
4907337
Link To Document