DocumentCode :
1348719
Title :
A CMOS Ultra-Low Power Vision Sensor With Image Compression and Embedded Event-Driven Energy-Management
Author :
Cottini, Nicola ; Gasparini, Leonardo ; De Nicola, Marco ; Massari, Nicola ; Gottardi, Massimo
Author_Institution :
Integrated Opt. Sensors & Interfaces Group (SOI), Trento, Italy
Volume :
1
Issue :
3
fYear :
2011
Firstpage :
299
Lastpage :
307
Abstract :
This paper presents an energy-aware CMOS vision sensor, targeted to surveillance and monitoring applications. The 64 × 64 pixels sensor directly estimates and binarizes the spatio-temporal contrast with a power consumption of 30 μW, at 30 fps and 3.3 V supply voltage. The sensor embeds event detection and energy management capabilities, which meet the requirements of an energy autonomous system. Data compression and fast readout delivering turn into a chip low power performance and duty-cycle optimization of the external processor, devoted to visual processing and communication. A preliminary prototype of vision system has been developed, estimating motion and looking for events occurring in the scene. It consists of the vision sensor interfaced with a small-density CPLD and a tiny micro-controller for data readout and communication. Here, the vision system performs ultra-low power consumption of about 1 mW. The presented system exhibits an operating life of more than four months, powered with 950 mA·h battery and a duty-cycle of 5%.
Keywords :
CMOS image sensors; data compression; image coding; low-power electronics; microcontrollers; motion estimation; CMOS ultralow power vision sensor; data compression; duty-cycle optimization; embedded event-driven energy-management; energy autonomous system; energy-aware CMOS vision sensor; event detection; external processor; image compression; microcontroller; motion estimation; power 30 muW; power consumption; small-density CPLD; spatio-temporal contrast; visual processing; Arrays; Batteries; Decoding; Estimation; Low power electronics; Machine vision; Power demand; CMOS vision sensor; early image processing; energy -autonomous sensors; energy-aware sensors; image compression;
fLanguage :
English
Journal_Title :
Emerging and Selected Topics in Circuits and Systems, IEEE Journal on
Publisher :
ieee
ISSN :
2156-3357
Type :
jour
DOI :
10.1109/JETCAS.2011.2167072
Filename :
6043878
Link To Document :
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