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Sensor

From Wikipedia, the free encyclopedia
Converter that measures a physical quantity and converts it into a signal
For other uses, seeSensor (disambiguation).
"Sensors" redirects here. For other uses, seeSensors (disambiguation).
"Detector" redirects here. For detector circuits in radio and other signal-related electronics, seeDetector (radio).
Not to be confused withCenser,Censor,Censure, orSenser.
Different types oflight sensors

Asensor is often defined as a device that receives and responds to a signal or stimulus. The stimulus is the quantity, property, or condition that is sensed and converted into electrical signal.[1]

In the broadest definition, a sensor is a device, module, machine, or subsystem that detects events or changes in its environment and sends the information to other electronics, frequently a computer processor.

Sensors are used in everyday objects such as touch-sensitive elevator buttons (tactile sensor) and lamps which dim or brighten by touching the base, and in innumerable applications of which most people are never aware. With advances inmicromachinery and easy-to-usemicrocontroller platforms, the uses of sensors have expanded beyond the traditional fields of temperature, pressure and flow measurement,[2] for example intoMARG sensors.

Analog sensors such aspotentiometers andforce-sensing resistors are still widely used. Their applications include manufacturing and machinery, airplanes and aerospace, cars, medicine,robotics and many other aspects of our day-to-day life. There is a wide range of other sensors that measure chemical and physical properties of materials, including optical sensors for refractive index measurement, vibrational sensors for fluid viscosity measurement, and electro-chemical sensors for monitoring pH of fluids.

A sensor's sensitivity indicates how much its output changes when the input quantity it measures changes. For instance, if the mercury in a thermometer moves 1  cm when the temperature changes by 1 °C, its sensitivity is 1 cm/°C (it is basically the slopedy/dx assuming a linear characteristic). Some sensors can also affect what they measure; for instance, a room temperature thermometer inserted into a hot cup of liquid cools the liquid while the liquid heats the thermometer. Sensors are usually designed to have a small effect on what is measured; making the sensor smaller often improves this and may introduce other advantages.[3]

Technological progress allows more and more sensors to be manufactured on amicroscopic scale as microsensors usingMEMS technology. In most cases, a microsensor reaches a significantly faster measurement time and higher sensitivity compared withmacroscopic approaches.[3][4] Due to the increasing demand for rapid, affordable and reliable information in today's world, disposable sensors—low-cost and easy‐to‐use devices for short‐term monitoring or single‐shot measurements—have recently gained growing importance. Using this class of sensors, critical analytical information can be obtained by anyone, anywhere and at any time, without the need for recalibration and worrying about contamination.[5]

Classification of measurement errors

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Aninfrared sensor

A good sensor obeys the following rules:[5]

  • it is sensitive to the measured property
  • it is insensitive to any other property likely to be encountered in its application, and
  • it does not influence the measured property.

Most sensors have alineartransfer function. Thesensitivity is then defined as the ratio between the output signal and measured property. For example, if a sensor measures temperature and has a voltage output, the sensitivity is constant with the units [V/K]. The sensitivity is the slope of the transfer function. Converting the sensor's electrical output (for example V) to the measured units (for example K) requires dividing the electrical output by the slope (or multiplying by its reciprocal). In addition, an offset is frequently added or subtracted. For example, −40 must be added to the output if 0 V output corresponds to −40 C input.

For an analog sensor signal to be processed or used in digital equipment, it needs to be converted to a digital signal, using ananalog-to-digital converter.

Sensor deviations

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Since sensors cannot replicate an idealtransfer function, several types of deviations can occur which limit sensoraccuracy:

  • Since the range of the output signal is always limited, the output signal will eventually reach a minimum or maximum when the measured property exceeds the limits. Thefull scale range defines the maximum and minimum values of the measured property.[citation needed]
  • Thesensitivity may in practice differ from the value specified. This is called a sensitivity error. This is an error in the slope of a linear transfer function.
  • If the output signal differs from the correct value by a constant, the sensor has an offset error orbias. This is an error in they-intercept of a linear transfer function.
  • Nonlinearity is deviation of a sensor's transfer function from a straight line transfer function. Usually, this is defined by the amount the output differs from ideal behavior over the full range of the sensor, often noted as a percentage of the full range.
  • Deviation caused by rapid changes of the measured property over time is adynamic error. Often, this behavior is described with abode plot showing sensitivity error and phase shift as a function of the frequency of a periodic input signal.
  • If the output signal slowly changes independent of the measured property, this is defined asdrift. Long term drift over months or years is caused by physical changes in the sensor.
  • Noise is a random deviation of the signal that varies in time.
  • Ahysteresis error causes the output value to vary depending on the previous input values. If a sensor's output is different depending on whether a specific input value was reached by increasing vs. decreasing the input, then the sensor has a hysteresis error.
  • If the sensor has a digital output, the output is essentially an approximation of the measured property. This error is also calledquantization error.
  • If the signal is monitored digitally, thesampling frequency can cause a dynamic error, or if the input variable or added noise changes periodically at a frequency near a multiple of the sampling rate,aliasing errors may occur.
  • The sensor may to some extent be sensitive to properties other than the property being measured. For example, most sensors are influenced by the temperature of their environment.

All these deviations can be classified assystematic errors orrandom errors. Systematic errors can sometimes be compensated for by means of some kind ofcalibration strategy. Noise is a random error that can be reduced bysignal processing, such as filtering, usually at the expense of the dynamic behavior of the sensor.

Resolution

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Thesensor resolution ormeasurement resolution is the smallest change that can be detected in the quantity that is being measured. The resolution of a sensor with a digital output is usually thenumerical resolution of the digital output. The resolution is related to theprecision with which the measurement is made, but they are not the same thing. A sensor's accuracy may be considerably worse than its resolution.

  • For example, thedistance resolution is the minimum distance that can be accurately measured by anydistance-measuring devices. In atime-of-flight camera, the distance resolution is usually equal to thestandard deviation (total noise) of the signal expressed inunit of length.
  • The sensor may to some extent be sensitive to properties other than the property being measured. For example, most sensors are influenced by the temperature of their environment.

Chemical sensor

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A chemical sensor is a self-contained analytical device that can provide information about the chemical composition of its environment, that is, aliquid or agas phase.[6][7] The information is provided in the form of a measurable physical signal that is correlated with theconcentration of a certain chemical species (termed asanalyte). Two main steps are involved in the functioning of a chemical sensor, namely, recognition andtransduction. In the recognition step, analyte molecules interact selectively withreceptor molecules or sites included in the structure of the recognition element of the sensor. Consequently, a characteristic physical parameter varies and this variation is reported by means of an integratedtransducer that generates the output signal.A chemical sensor based on recognition material of biological nature is abiosensor. However, as syntheticbiomimetic materials are going to substitute to some extent recognition biomaterials, a sharp distinction between a biosensor and a standard chemical sensor is superfluous. Typical biomimetic materials used in sensor development aremolecularly imprinted polymers andaptamers.[8]

Chemical sensor array

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This section is an excerpt fromChemical sensor array.[edit]
Achemical sensor array is a sensor architecture with multiple sensor components that create a pattern for analyte detection from the additive responses of individual sensor components. There exist several types of chemical sensor arrays including electronic, optical, acoustic wave, and potentiometric devices. These chemical sensor arrays can employ multiple sensor types that are cross-reactive or tuned to sense specific analytes.[9][10][11][12]

Biosensor

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Main article:Biosensor

Inbiomedicine andbiotechnology, sensors which detectanalytes thanks to a biological component, such as cells, protein, nucleic acid orbiomimetic polymers, are calledbiosensors.Whereas a non-biological sensor, even organic (carbon chemistry), for biological analytes is referred to as sensor ornanosensor. This terminology applies for bothin-vitro and in vivo applications.The encapsulation of the biological component in biosensors, presents a slightly different problem that ordinary sensors; this can either be done by means of asemipermeable barrier, such as adialysis membrane or ahydrogel, or a 3D polymer matrix, which either physically constrains the sensingmacromolecule or chemically constrains the macromolecule by bounding it to the scaffold.

Neuromorphic sensors

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Neuromorphic sensors are sensors that physically mimic structures and functions of biological neural entities.[13] One example of this is theevent camera.

MOS sensors

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The MOSFET invented at Bell Labs between 1955 and 1960,[14][15][16][17][18][19] MOSFET sensors (MOS sensors) were later developed, and they have since been widely used to measurephysical,chemical,biological andenvironmental parameters.[20]

Biochemical sensors

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A number of MOSFET sensors have been developed, for measuringphysical,chemical,biological, andenvironmental parameters.[20] The earliest MOSFET sensors include the open-gate field-effect transistor (OGFET) introduced by Johannessen in 1970,[20] theion-sensitive field-effect transistor (ISFET) invented byPiet Bergveld in 1970,[21] theadsorption FET (ADFET)patented by P.F. Cox in 1974, and ahydrogen-sensitive MOSFET demonstrated by I. Lundstrom, M.S. Shivaraman, C.S. Svenson and L. Lundkvist in 1975.[20] The ISFET is a special type of MOSFET with a gate at a certain distance,[20] and where themetal gate is replaced by anion-sensitivemembrane,electrolyte solution andreference electrode.[22] The ISFET is widely used inbiomedical applications, such as the detection ofDNA hybridization,biomarker detection fromblood,antibody detection,glucose measurement,pH sensing, andgenetic technology.[22]

By the mid-1980s, numerous other MOSFET sensors had been developed, including thegas sensor FET (GASFET), surface accessible FET (SAFET), charge flow transistor (CFT),pressure sensor FET (PRESSFET),chemical field-effect transistor (ChemFET),reference ISFET (REFET),biosensor FET (BioFET),enzyme-modified FET (ENFET) and immunologically modified FET (IMFET).[20] By the early 2000s, BioFET types such as theDNA field-effect transistor (DNAFET),gene-modified FET (GenFET) andcell-potential BioFET (CPFET) had been developed.[22]

Image sensors

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Main articles:Image sensor,Charge-coupled device, andActive-pixel sensor

MOS technology is the basis for modernimage sensors, including thecharge-coupled device (CCD) and theCMOSactive-pixel sensor (CMOS sensor), used indigital imaging anddigital cameras.[23]Willard Boyle andGeorge E. Smith developed the CCD in 1969. While researching the MOS process, they realized that an electric charge was the analogy of the magnetic bubble and that it could be stored on a tiny MOS capacitor. As it was fairly straightforward to fabricate a series of MOS capacitors in a row, they connected a suitable voltage to them so that the charge could be stepped along from one to the next.[23] The CCD is a semiconductor circuit that was later used in the firstdigital video cameras fortelevision broadcasting.[24]

The MOSactive-pixel sensor (APS) was developed by Tsutomu Nakamura atOlympus in 1985.[25] The CMOS active-pixel sensor was later developed byEric Fossum and his team in the early 1990s.[26]

MOS image sensors are widely used inoptical mouse technology. The first optical mouse, invented byRichard F. Lyon atXerox in 1980, used a5 μmNMOS sensor chip.[27][28] Since the first commercial optical mouse, theIntelliMouse introduced in 1999, most optical mouse devices use CMOS sensors.[29]

Monitoring sensors

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ALIDAR sensor (bottom, center), as part of the camera system on aniPad Pro[30]

MOS monitoring sensors are used forhouse monitoring,office andagriculture monitoring,traffic monitoring (includingcar speed,traffic jams, andtraffic accidents),weather monitoring (such as forrain,wind,lightning andstorms),defense monitoring, and monitoringtemperature,humidity,air pollution,fire,health, security andlighting.[31] MOSgas detector sensors are used to detectcarbon monoxide,sulfur dioxide,hydrogen sulfide,ammonia, and othergas substances.[32] Other MOS sensors includeintelligent sensors[33] andwireless sensor network (WSN) technology.[34]

Electronics sensors

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The typical modernCPUs,GPUs andSoCs are usually integrated electric sensors to detect chip temperatures, voltages and powers.[35]

See also

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References

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  1. ^FRADEN, JACOB (2004).HANDBOOK OF MODERN SENSORS (3rd ed.). New York: Springer. p. 1.ISBN 0-387-00750-4.
  2. ^Bennett, S. (1993).A History of Control Engineering 1930–1955. London: Peter Peregrinus Ltd. on behalf of the Institution of Electrical Engineers.ISBN 978-0-86341-280-6The source states "controls" rather than "sensors", so its applicability is assumed. Many units are derived from the basic measurements to which it refers, such as a liquid's level measured by a differential pressure sensor.{{cite book}}: CS1 maint: postscript (link)
  3. ^abJihong Yan (2015).Machinery Prognostics and Prognosis Oriented Maintenance Management. Wiley & Sons Singapore Pte. Ltd. p. 107.ISBN 978-1-118-63872-9.
  4. ^Ganesh Kumar (September 2010).Modern General Knowledge. Upkar Prakashan. p. 194.ISBN 978-81-7482-180-5.
  5. ^abDincer, Can; Bruch, Richard; Costa-Rama, Estefanía; Fernández-Abedul, Maria Teresa; Merkoçi, Arben; Manz, Andreas; Urban, Gerald Anton; Güder, Firat (2019-05-15)."Disposable Sensors in Diagnostics, Food, and Environmental Monitoring".Advanced Materials.31 (30) 1806739.Bibcode:2019AdM....3106739D.doi:10.1002/adma.201806739.hdl:10044/1/69878.ISSN 0935-9648.PMID 31094032.
  6. ^Toniolo, Rosanna; Dossi, Nicolò; Giannilivigni, Emanuele; Fattori, Andrea; Svigelj, Rossella; Bontempelli, Gino; Giacomino, Agnese; Daniele, Salvatore (3 March 2020)."Modified Screen Printed Electrode Suitable for Electrochemical Measurements in Gas Phase".Analytical Chemistry.92 (5):3689–3696.doi:10.1021/acs.analchem.9b04818.ISSN 0003-2700.PMID 32008321.S2CID 211012680.
  7. ^Bǎnicǎ, Florinel-Gabriel (2012).Chemical Sensors and Biosensors:Fundamentals and Applications. Chichester, UK: John Wiley & Sons. p. 576.ISBN 978-1-118-35423-0.
  8. ^Svigelj, Rossella; Dossi, Nicolo; Pizzolato, Stefania; Toniolo, Rosanna; Miranda-Castro, Rebeca; de-los-Santos-Álvarez, Noemí; Lobo-Castañón, María Jesús (1 October 2020). "Truncated aptamers as selective receptors in a gluten sensor supporting direct measurement in a deep eutectic solvent".Biosensors and Bioelectronics.165 112339.doi:10.1016/j.bios.2020.112339.hdl:10651/57640.PMID 32729482.S2CID 219902328.
  9. ^Albert, Keith J.; Lewis, Nathan S.; Schauer, Caroline L.; Sotzing, Gregory A.; Stitzel, Shannon E.; Vaid, Thomas P.; Walt, David R. (2000-07-01)."Cross-Reactive Chemical Sensor Arrays".Chemical Reviews.100 (7):2595–2626.doi:10.1021/cr980102w.ISSN 0009-2665.PMID 11749297.
  10. ^Johnson, Kevin J.; Rose-Pehrsson, Susan L. (2015-07-10)."Sensor Array Design for Complex Sensing Tasks".Annual Review of Analytical Chemistry.8 (1):287–310.Bibcode:2015ARAC....8..287J.doi:10.1146/annurev-anchem-062011-143205.ISSN 1936-1327.PMID 26132346.
  11. ^Li, Zheng; Askim, Jon R.; Suslick, Kenneth S. (2019-01-09)."The Optoelectronic Nose: Colorimetric and Fluorometric Sensor Arrays".Chemical Reviews.119 (1):231–292.doi:10.1021/acs.chemrev.8b00226.ISSN 0009-2665.PMID 30207700.S2CID 206542436.
  12. ^Askim, Jon R.; Mahmoudi, Morteza; Suslick, Kenneth S. (2013-10-21)."Optical sensor arrays for chemical sensing: the optoelectronic nose".Chemical Society Reviews.42 (22):8649–8682.doi:10.1039/C3CS60179J.ISSN 1460-4744.PMID 24091381.
  13. ^Vanarse, Anup; Osseiran, Adam; Rassau, Alexander (2016)."A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors".Frontiers in Neuroscience.10: 115.doi:10.3389/fnins.2016.00115.PMC 4809886.PMID 27065784.
  14. ^Huff, Howard; Riordan, Michael (2007-09-01)."Frosch and Derick: Fifty Years Later (Foreword)".The Electrochemical Society Interface.16 (3): 29.doi:10.1149/2.F02073IF.ISSN 1064-8208.
  15. ^Frosch, C. J.; Derick, L (1957)."Surface Protection and Selective Masking during Diffusion in Silicon".Journal of the Electrochemical Society.104 (9): 547.doi:10.1149/1.2428650.
  16. ^KAHNG, D. (1961). "Silicon-Silicon Dioxide Surface Device".Technical Memorandum of Bell Laboratories:583–596.doi:10.1142/9789814503464_0076.ISBN 978-981-02-0209-5.{{cite journal}}:ISBN / Date incompatibility (help)
  17. ^Lojek, Bo (2007).History of Semiconductor Engineering. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg. p. 321.ISBN 978-3-540-34258-8.
  18. ^Ligenza, J.R.; Spitzer, W.G. (1960)."The mechanisms for silicon oxidation in steam and oxygen".Journal of Physics and Chemistry of Solids.14:131–136.Bibcode:1960JPCS...14..131L.doi:10.1016/0022-3697(60)90219-5.
  19. ^Lojek, Bo (2007).History of Semiconductor Engineering.Springer Science & Business Media. p. 120.ISBN 978-3-540-34258-8.
  20. ^abcdefBergveld, Piet (October 1985)."The impact of MOSFET-based sensors"(PDF).Sensors and Actuators.8 (2):109–127.Bibcode:1985SeAc....8..109B.doi:10.1016/0250-6874(85)87009-8.ISSN 0250-6874.
  21. ^Chris Toumazou; Pantelis Georgiou (December 2011)."40 years of ISFET technology: From neuronal sensing to DNA sequencing".Electronics Letters. Retrieved13 May 2016.
  22. ^abcSchöning, Michael J.; Poghossian, Arshak (10 September 2002)."Recent advances in biologically sensitive field-effect transistors (BioFETs)"(PDF).Analyst.127 (9):1137–1151.Bibcode:2002Ana...127.1137S.doi:10.1039/B204444G.ISSN 1364-5528.PMID 12375833.
  23. ^abWilliams, J. B. (2017).The Electronics Revolution: Inventing the Future. Springer. pp. 245 & 249.ISBN 978-3-319-49088-5.
  24. ^Boyle, William S; Smith, George E. (1970). "Charge Coupled Semiconductor Devices".Bell Syst. Tech. J.49 (4):587–593.Bibcode:1970BSTJ...49..587B.doi:10.1002/j.1538-7305.1970.tb01790.x.
  25. ^Matsumoto, Kazuya; et al. (1985). "A new MOS phototransistor operating in a non-destructive readout mode".Japanese Journal of Applied Physics.24 (5A): L323.Bibcode:1985JaJAP..24L.323M.doi:10.1143/JJAP.24.L323.S2CID 108450116.
  26. ^Eric R. Fossum (1993), "Active Pixel Sensors: Are CCD's Dinosaurs?" Proc. SPIE Vol. 1900, p. 2–14,Charge-Coupled Devices and Solid State Optical Sensors III, Morley M. Blouke; Ed.
  27. ^Lyon, Richard F. (2014)."The Optical Mouse: Early Biomimetic Embedded Vision".Advances in Embedded Computer Vision. Springer. pp. 3–22 (3).ISBN 978-3-319-09387-1.
  28. ^Lyon, Richard F. (August 1981)."The Optical Mouse, and an Architectural Methodology for Smart Digital Sensors"(PDF). In H. T. Kung; Robert F. Sproull; Guy L. Steele (eds.).VLSI Systems and Computations. Computer Science Press. pp. 1–19.doi:10.1007/978-3-642-68402-9_1.ISBN 978-3-642-68404-3.
  29. ^Brain, Marshall; Carmack, Carmen (24 April 2000)."How Computer Mice Work".HowStuffWorks. Retrieved9 October 2019.
  30. ^"LiDAR vs. 3D ToF Sensors — How Apple Is Making AR Better for Smartphones". 31 March 2020. Retrieved2020-04-03.
  31. ^Omura, Yasuhisa; Mallik, Abhijit; Matsuo, Naoto (2017).MOS Devices for Low-Voltage and Low-Energy Applications.John Wiley & Sons. pp. 3–4.ISBN 978-1-119-10735-4.
  32. ^Sun, Jianhai; Geng, Zhaoxin; Xue, Ning; Liu, Chunxiu; Ma, Tianjun (17 August 2018)."A Mini-System Integrated with Metal-Oxide-Semiconductor Sensor and Micro-Packed Gas Chromatographic Column".Micromachines.9 (8): 408.doi:10.3390/mi9080408.ISSN 2072-666X.PMC 6187308.PMID 30424341.
  33. ^Mead, Carver A.; Ismail, Mohammed, eds. (May 8, 1989).Analog VLSI Implementation of Neural Systems(PDF). The Kluwer International Series in Engineering and Computer Science. Vol. 80. Norwell, MA:Kluwer Academic Publishers.doi:10.1007/978-1-4613-1639-8.ISBN 978-1-4613-1639-8.
  34. ^Oliveira, Joao; Goes, João (2012).Parametric Analog Signal Amplification Applied to Nanoscale CMOS Technologies.Springer Science & Business Media. p. 7.ISBN 978-1-4614-1670-8.
  35. ^"Page 486".xem.github.io. Retrieved2025-01-23.

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