A Fast and Low Cost Embedded Test Solution for CMOS Image Sensors

Visual Sensor Network (VSN) is a network of distributed battery-powered low-cost cameras and CMOS image sensors, each with the capability of capturing, processing, sending, and receiving images. VSN applications include remote monitoring, Security, elderly assistance, Visual Ubiquity, home monitoring, tracking. The highly sensitive nature of images makes security and privacy in VSNs even more important than in most other sensor and data networks. However, the direct use of security techniques developed for scalar WSN will not be suitable for VSN due to its resource constraint. Hence light weight security mechanisms need to be explored. In this chapter the challenging security issues at various layers in VSN are addressed. It also fosters discussion on privacy protection techniques like subjective privacy, Video masking techniques and identifies recent trends in VSN security and privacy. A discussion of open research issues concludes this chapter.

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A Low Cost Environmental Ionizing Radiation Detector Based on COTS CMOS Image Sensors

2018 IEEE Biennial Congress of Argentina (ARGENCON) ◽

10.1109/argencon.2018.8645967 ◽

2018 ◽

Author(s):

Clara Lucia Galimberti ◽

Fabricio Alcalde Bessia ◽

Martin Perez ◽

Mariano Gomez Berisso ◽

Miguel Sofo Haro ◽

...

Keyword(s):

Ionizing Radiation ◽

Low Cost ◽

Radiation Detector ◽

Image Sensors ◽

Cmos Image Sensors

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Visual Sensor Networks

Advances in Digital Crime, Forensics, and Cyber Terrorism - Combating Security Breaches and Criminal Activity in the Digital Sphere ◽

10.4018/978-1-5225-0193-0.ch016 ◽

2016 ◽

pp. 263-282

Author(s):

Suseela G ◽

Asnath Victy Phamila Y

Keyword(s):

Low Cost ◽

Home Monitoring ◽

Image Sensors ◽

Security And Privacy ◽

Data Networks ◽

Visual Sensor ◽

Visual Sensor Network ◽

Security Issues ◽

Cmos Image Sensors ◽

Recent Trends

Visual Sensor Network (VSN) is a network of distributed battery-powered low-cost cameras and CMOS image sensors, each with the capability of capturing, processing, sending, and receiving images. VSN applications include remote monitoring, Security, elderly assistance, Visual Ubiquity, home monitoring, tracking. The highly sensitive nature of images makes security and privacy in VSNs even more important than in most other sensor and data networks. However, the direct use of security techniques developed for scalar WSN will not be suitable for VSN due to its resource constraint. Hence light weight security mechanisms need to be explored. In this chapter the challenging security issues at various layers in VSN are addressed. It also fosters discussion on privacy protection techniques like subjective privacy, Video masking techniques and identifies recent trends in VSN security and privacy. A discussion of open research issues concludes this chapter.

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Test for Low Cost CMOS Image Sensors

European Test Symposium (ETS'05) ◽

10.1109/ets.2005.37 ◽

2005 ◽

Cited By ~ 3

Author(s):

P. Maxwell

Keyword(s):

Low Cost ◽

Image Sensors ◽

Cmos Image Sensors

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1/f Noise Modelling and Characterization for CMOS Quanta Image Sensors

Sensors ◽

10.3390/s19245459 ◽

2019 ◽

Vol 19 (24) ◽

pp. 5459

Author(s):

Wei Deng ◽

Eric R. Fossum

Keyword(s):

Analog Circuits ◽

Image Sensor ◽

Image Sensors ◽

Correlated Double Sampling ◽

Cmos Image Sensors ◽

Source Follower ◽

Cmos Analog Circuits ◽

Different Origins ◽

Noise Models ◽

Fitting Model

This work fits the measured in-pixel source-follower noise in a CMOS Quanta Image Sensor (QIS) prototype chip using physics-based 1/f noise models, rather than the widely-used fitting model for analog designers. This paper discusses the different origins of 1/f noise in QIS devices and includes correlated double sampling (CDS). The modelling results based on the Hooge mobility fluctuation, which uses one adjustable parameter, match the experimental measurements, including the variation in noise from room temperature to –70 °C. This work provides useful information for the implementation of QIS in scientific applications and suggests that even lower read noise is attainable by further cooling and may be applicable to other CMOS analog circuits and CMOS image sensors.

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