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A 
Seminar on 
“SMART SENSORS AND THEIR 
APPLICATIONS” 
Guided By Submitted By 
Dr. Piyush N. Patel Yash Kant Verma 
Assistant Professor U11EC011 
ECED, SVNIT, SURAT ECED, SVNIT, SURAT
CONTENTS 
• INTRODUCTION 
• ARCHITECTURE 
• FABRICATION 
• ADVANTAGES AND DISADVANTAGES 
• APPLICATIONS 
• SUMMARY 
• REFERENCES
1. INTRODUCTION 
• Sensors are devices that responds to a physical 
stimulus heat, light, sound, pressure, magnetism, 
motion, etc , and convert that into an electrical signal. 
They perform an input function. 
• Devices which perform an output function are 
generally called Actuators and are used to control 
some external device, for example movement. 
• Both sensors and actuators are collectively known as 
Transducers. Transducers are devices used to 
convert energy of one kind into energy of another 
kind.
SMART SENSOR 
A smart sensor is an analog/digital transducer combined 
with a processing unit and a communication interface. It 
consists of transduction element, signal conditioning 
electronic and controller/processor that support some 
intelligence in a single package. 
This integrated sensors which has electronics and the 
transduction element together on one silicon chip, this 
system can be called as system-on-chip (SoC).The main 
aim of integrating the electronics and the sensor is to 
make an intelligent sensor, which can be called as smart 
sensor. Smart sensors then have the ability to make 
some decision.
Smart sensors / Intelligent sensor 
are sensors with integrated 
electronics that can perform one 
or more of the following 
function:[1] 
1. Data Conversion 
2. Bidirectional communication 
3. Take decisions 
4. Perform logical operations
TYPES OF SMART SENSORS 
SMART SENSOR HYBRID 
Three different types of configurations 
are shown in which all the components 
are placed on a chip. This is called 
standardization. In the first hybrid 
system, a sensor is connected with ADC 
and bus interface with the help of 
universal sensor interface. The second 
configuration shows the connection of 
sensor analog system with the digital 
circuit and bus interface. In the third 
configuration, sensor is combined with 
the interface circuit already to provide 
duty cycle and bit stream as shown in 
figure
INTEGRATED SMART SENSORS 
If we integrate all functions from sensor to bus interface in one chip, we get an 
integrated smart sensor as shown in figure below.[1]
SMART SENSOR NETWORK 
A sensor network is a collection of sensors interconnected with each other by a 
communication network. A sensor network is made up of individual 
multifunctional sensor nodes. It has much significance like sensing accuracy, area 
coverage, connectivity, minimal human interaction. 
Figure below shows the elements of a single network node.
2. SMART SENSOR ARCHITECTURE 
The basic architectural components of smart sensor are listed 
as follows: 
 Sensing element/transduction 
element, 
 Amplifier, 
 Sample and hold, 
 Analog multiplexer, 
 Analog to digital converter (ADC), 
 Offset and temperature 
compensation, 
 Digital to analog converter (DAC), 
 Memory, 
 Serial communication 
 Processor
Five main parts of sensor node are: 
 The central unit: It is in the 
form of microprocessor which 
manages the tasks. 
 Battery: Is the source of 
energy 
 A Transceiver: Interacts with 
the environment and collects 
data. 
 Memory: Used as storage 
media for storing data or 
processing data. 
 Communication module: It 
includes transceivers and 
forwards queries and data to 
and from central module. [2]
Signal Processing 
 The signals recorded by many sensors are typically low in 
amplitude, Integration of interface electronics and signal 
processing circuitry at the sensor site (monolithic or hybrid) 
serves a number of functions, including signal amplification, 
impedance transformation, signal filtering and buffering, and 
multiplexing. 
 CMOS amplifiers are perhaps the most suitable since they 
provide high gain and high input impedance through a 
relatively simple and compact circuit and are readily 
compatible with integration of high-density digital circuitry on 
the same chip. 
 In addition to signal amplification, impedance transformation 
and signal filtering are also required.
Digital Processing and Manipulation 
 The main circuit block required before digital control and 
manipulation of sensor data can take place is the analog-digital 
converter. 
 Once the sensor data is digitized, a variety of signal 
processing schemes can be used to correct for a number 
of errors and shortcomings. These include offset 
cancellation, auto-calibration, self-testing, fault detection 
and correction and linearity correction. 
 Auto-calibration is a very desirable function for smart 
sensors. Most sensors should be adjusted for changes in 
gain and offset. 
 Reliability and accuracy.
Communication and Bus Interaction 
• A smart sensor should be capable of interacting with a 
higher level controller that manages the overall system. 
• Efforts are currently underway to develop such a standard 
bus for sensor applications that is uniquely designed to 
optimize functionality, speed and overall cost. 
• A variety of information can be exchanged between the 
sensor and the controller over the bus, including calibration 
and compensation data, addresses and personality 
information, measured data, and programming data initiated 
by the controller, the communication interface should have 
the ability to receive and transmit information over the bus 
at a fairly high speed it should be noted that many sensor 
signals have limited bandwidth and even in the case of a 
multi-sensor system, the bus data rate may be sufficient to 
accommodate all sensors [2]
3. FABRICATION 
 Sensor is made with the same technology as 
integrated circuit. A smart sensor utilizes the 
transduction properties of one class of materials and 
electronic properties of silicon (GaAs) 
 One problem with silicon is that its sensitivities to 
strain, light and magnetic field show a large cross-sensitivity 
to temperature. When it is not possible to 
have silicon with proper effects, it is possible to 
deposit layers of materials with desired sensitivity on 
the top of a silicon substrate.
• Solid- State integrated 
sensors are basically 
composed of four elements 
namely, custom films for 
transduction, 
microstructures, integrated 
interface circuitry and 
microcomputer based signal 
processing algorithms. 
Mainly, three techniques 
bulk micro-machining, 
surface micromachining and 
wafer bonding process are 
used for fabrication of smart 
sensors 
• Fig showing the fabrication 
of a pressure sensor[3]
4. ADVANTAGES AND DISADVANTAGES 
ADVANTAGES[4] 
 The smart sensor takes over the conditioning and control of the 
sensor signal, reducing the load on the central control system, 
allowing faster system operation. 
 Direct digital control provides high accuracy, not achievable 
with analog control systems and central processing. 
 The cost of smart sensor systems is presently higher than that 
of conventional systems, but when the cost of maintenance, 
ease of programming, ease of adding new sensors is taken into 
account, the long- term cost of smart sensor systems is less. 
 Individual controllers can monitor and control more than one 
process variable.
DISADVANTAGES 
 If upgrading to smart sensors, care has to be taken when 
mixing old devices with new sensors, since they may not be 
compatible. 
 If a bus wire fails, the total system is down, which is not the 
case with discrete wiring. However, with discrete wiring, if 
one sensor connection fails, it may be necessary to shut the 
system down. The problem of bus wire failure can be 
alleviated by the use of a redundant backup bus.
5. APPLICATIONS 
 INDUSTRIAL 
In industries machines and equipments are monitored and 
controlled for pressure, temperature , humidity level and also 
for vibrations 
 AUTOMOTIVES 
Communications between engine, transmission, suspension, braking 
and other controls has long been anticipated. 
 FINGER PRINT RECOGNISITION 
A fingerprint sensor is an electronic device used to capture a digital 
image of the fingerprint pattern. The captured image is called a live 
scan. This live scan is digitally processed to create a biometric template 
(a collection of extracted features) which is stored and used for 
matching.
PATTERN RECOGNISITION 
The sensor uses incident light or backlight to detect 
the contours of an object and compares them with the 
contours of one or several models in a reference 
image. 
TELECOMMUNICATION 
A smart card known as a Wireless Identity Module, is 
similar to the Subscriber Identity Module (SIM) used 
on existing GSM cellular phones. The card 
guarantees 100-percent security for e-commerce 
transactions by providing authentication of the parties 
involved, by means of encryption and digital 
signatures.[5]
SMART TOYS 
These days the trend in toys is to make them as life-like as 
possible which move or change directions after sensing objects 
around them. 
SMART DUST: 
Smart dust is a hypothetical wireless network of tiny micro-electro- 
mechanical (MEMS) sensors, robots, or devices, which 
can detect (for example) light, temperature, or vibration. The 
devices will eventually be the size of a grain of sand, or even a 
dust particle, with each mote having self-contained sensing, 
computation, communication and power.[6]
BIOMEDICAL APPLICATIONS 
A number of smart sensors for biomedical applications have 
also been developed by using chip technology .e.g. biochips 
Cyto-sensor micro-physio-meter: biological applications of 
silicon technology. 
MEMS AND PROCESS CONTROL 
MEMS (Micro-Electro-Mechanical Systems) is a class of 
systems that are physically small. These systems have both 
electrical and mechanical components. MEMS originally used 
modified integrated circuit (computer chip) fabrication 
techniques and materials to create these very small mechanical 
devices
DEFENCE APPLICATIONS 
Smart cameras that can operate sophisticated software 
analytics onboard the camera itself, and then report alarms 
remotely using IP networking facilities. It has ability to 
perform object detection, crowd pattern analysis, secure zone 
intrusion detection, and so on boost the efficiency and 
accuracy of a human operator who is likely monitoring 
multiple banks of displays. 
Smart sensor equipments helps in monitoring a wide variety of 
parameters like EMI, fatigue loading, thermal cycling, 
vibration and shock levels, acoustic emissions and corrosive 
environments
6. SUMMARY 
Automization can’t be imagined without the smart sensors. 
These sensors are potentially cheaper, offer higher 
performance and reliability, and are much smaller in size than 
their discrete counterparts. They have also been employed in 
applications including transportation and health care and in 
large part have fulfilled their promise. 
Sensor signals can be amplified and properly processed, are 
multiplexed and are buffered ready to be received by micro-processor 
on these signals and offer a standard data stream to 
the user thus making the entire sensing module behave like a 
system periphery rather than a passive component.
REFERENCES 
1. Frank. R; “Understanding the Smart Sensors”; Artech House; 
Second edition; Page 1-5; 2000 
2. Nitaigour P. Mahalik: Sensor Networks and Configuration. 
Fundamentals, Standards, Platforms and Applications. Springer 
Verlag Berlin, english, 1st ed. November 2006, ISBN 3-540- 
37364-0, ISBN 978-3-540-37364-3 
3. Borky J M and Wise K D 1979 Integrated signal conditioning for 
silicon pressure sensors IEEE Trans. on Electron Devices ED-26 
1906-10 
4. M. Bowen, G. Smith, “Considerations for the design of smart 
sensors,” Sensors and Actuators, A 46- 47(1995) 516-520. 
5. S. Middelhoer and A.C. Hoogerwerf, “Smart sensors when and 
where,” Sensors and Actuators, 8(1985) 39-48. 
6. http://www.smartsensortechnologies.com/fs-system.html 
[Retrieved on 11-11-2014]
THANK YOU

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Smart sensors and their Application

  • 1. A Seminar on “SMART SENSORS AND THEIR APPLICATIONS” Guided By Submitted By Dr. Piyush N. Patel Yash Kant Verma Assistant Professor U11EC011 ECED, SVNIT, SURAT ECED, SVNIT, SURAT
  • 2. CONTENTS • INTRODUCTION • ARCHITECTURE • FABRICATION • ADVANTAGES AND DISADVANTAGES • APPLICATIONS • SUMMARY • REFERENCES
  • 3. 1. INTRODUCTION • Sensors are devices that responds to a physical stimulus heat, light, sound, pressure, magnetism, motion, etc , and convert that into an electrical signal. They perform an input function. • Devices which perform an output function are generally called Actuators and are used to control some external device, for example movement. • Both sensors and actuators are collectively known as Transducers. Transducers are devices used to convert energy of one kind into energy of another kind.
  • 4.
  • 5. SMART SENSOR A smart sensor is an analog/digital transducer combined with a processing unit and a communication interface. It consists of transduction element, signal conditioning electronic and controller/processor that support some intelligence in a single package. This integrated sensors which has electronics and the transduction element together on one silicon chip, this system can be called as system-on-chip (SoC).The main aim of integrating the electronics and the sensor is to make an intelligent sensor, which can be called as smart sensor. Smart sensors then have the ability to make some decision.
  • 6. Smart sensors / Intelligent sensor are sensors with integrated electronics that can perform one or more of the following function:[1] 1. Data Conversion 2. Bidirectional communication 3. Take decisions 4. Perform logical operations
  • 7. TYPES OF SMART SENSORS SMART SENSOR HYBRID Three different types of configurations are shown in which all the components are placed on a chip. This is called standardization. In the first hybrid system, a sensor is connected with ADC and bus interface with the help of universal sensor interface. The second configuration shows the connection of sensor analog system with the digital circuit and bus interface. In the third configuration, sensor is combined with the interface circuit already to provide duty cycle and bit stream as shown in figure
  • 8. INTEGRATED SMART SENSORS If we integrate all functions from sensor to bus interface in one chip, we get an integrated smart sensor as shown in figure below.[1]
  • 9. SMART SENSOR NETWORK A sensor network is a collection of sensors interconnected with each other by a communication network. A sensor network is made up of individual multifunctional sensor nodes. It has much significance like sensing accuracy, area coverage, connectivity, minimal human interaction. Figure below shows the elements of a single network node.
  • 10. 2. SMART SENSOR ARCHITECTURE The basic architectural components of smart sensor are listed as follows:  Sensing element/transduction element,  Amplifier,  Sample and hold,  Analog multiplexer,  Analog to digital converter (ADC),  Offset and temperature compensation,  Digital to analog converter (DAC),  Memory,  Serial communication  Processor
  • 11.
  • 12. Five main parts of sensor node are:  The central unit: It is in the form of microprocessor which manages the tasks.  Battery: Is the source of energy  A Transceiver: Interacts with the environment and collects data.  Memory: Used as storage media for storing data or processing data.  Communication module: It includes transceivers and forwards queries and data to and from central module. [2]
  • 13. Signal Processing  The signals recorded by many sensors are typically low in amplitude, Integration of interface electronics and signal processing circuitry at the sensor site (monolithic or hybrid) serves a number of functions, including signal amplification, impedance transformation, signal filtering and buffering, and multiplexing.  CMOS amplifiers are perhaps the most suitable since they provide high gain and high input impedance through a relatively simple and compact circuit and are readily compatible with integration of high-density digital circuitry on the same chip.  In addition to signal amplification, impedance transformation and signal filtering are also required.
  • 14. Digital Processing and Manipulation  The main circuit block required before digital control and manipulation of sensor data can take place is the analog-digital converter.  Once the sensor data is digitized, a variety of signal processing schemes can be used to correct for a number of errors and shortcomings. These include offset cancellation, auto-calibration, self-testing, fault detection and correction and linearity correction.  Auto-calibration is a very desirable function for smart sensors. Most sensors should be adjusted for changes in gain and offset.  Reliability and accuracy.
  • 15. Communication and Bus Interaction • A smart sensor should be capable of interacting with a higher level controller that manages the overall system. • Efforts are currently underway to develop such a standard bus for sensor applications that is uniquely designed to optimize functionality, speed and overall cost. • A variety of information can be exchanged between the sensor and the controller over the bus, including calibration and compensation data, addresses and personality information, measured data, and programming data initiated by the controller, the communication interface should have the ability to receive and transmit information over the bus at a fairly high speed it should be noted that many sensor signals have limited bandwidth and even in the case of a multi-sensor system, the bus data rate may be sufficient to accommodate all sensors [2]
  • 16. 3. FABRICATION  Sensor is made with the same technology as integrated circuit. A smart sensor utilizes the transduction properties of one class of materials and electronic properties of silicon (GaAs)  One problem with silicon is that its sensitivities to strain, light and magnetic field show a large cross-sensitivity to temperature. When it is not possible to have silicon with proper effects, it is possible to deposit layers of materials with desired sensitivity on the top of a silicon substrate.
  • 17. • Solid- State integrated sensors are basically composed of four elements namely, custom films for transduction, microstructures, integrated interface circuitry and microcomputer based signal processing algorithms. Mainly, three techniques bulk micro-machining, surface micromachining and wafer bonding process are used for fabrication of smart sensors • Fig showing the fabrication of a pressure sensor[3]
  • 18. 4. ADVANTAGES AND DISADVANTAGES ADVANTAGES[4]  The smart sensor takes over the conditioning and control of the sensor signal, reducing the load on the central control system, allowing faster system operation.  Direct digital control provides high accuracy, not achievable with analog control systems and central processing.  The cost of smart sensor systems is presently higher than that of conventional systems, but when the cost of maintenance, ease of programming, ease of adding new sensors is taken into account, the long- term cost of smart sensor systems is less.  Individual controllers can monitor and control more than one process variable.
  • 19. DISADVANTAGES  If upgrading to smart sensors, care has to be taken when mixing old devices with new sensors, since they may not be compatible.  If a bus wire fails, the total system is down, which is not the case with discrete wiring. However, with discrete wiring, if one sensor connection fails, it may be necessary to shut the system down. The problem of bus wire failure can be alleviated by the use of a redundant backup bus.
  • 20. 5. APPLICATIONS  INDUSTRIAL In industries machines and equipments are monitored and controlled for pressure, temperature , humidity level and also for vibrations  AUTOMOTIVES Communications between engine, transmission, suspension, braking and other controls has long been anticipated.  FINGER PRINT RECOGNISITION A fingerprint sensor is an electronic device used to capture a digital image of the fingerprint pattern. The captured image is called a live scan. This live scan is digitally processed to create a biometric template (a collection of extracted features) which is stored and used for matching.
  • 21. PATTERN RECOGNISITION The sensor uses incident light or backlight to detect the contours of an object and compares them with the contours of one or several models in a reference image. TELECOMMUNICATION A smart card known as a Wireless Identity Module, is similar to the Subscriber Identity Module (SIM) used on existing GSM cellular phones. The card guarantees 100-percent security for e-commerce transactions by providing authentication of the parties involved, by means of encryption and digital signatures.[5]
  • 22. SMART TOYS These days the trend in toys is to make them as life-like as possible which move or change directions after sensing objects around them. SMART DUST: Smart dust is a hypothetical wireless network of tiny micro-electro- mechanical (MEMS) sensors, robots, or devices, which can detect (for example) light, temperature, or vibration. The devices will eventually be the size of a grain of sand, or even a dust particle, with each mote having self-contained sensing, computation, communication and power.[6]
  • 23. BIOMEDICAL APPLICATIONS A number of smart sensors for biomedical applications have also been developed by using chip technology .e.g. biochips Cyto-sensor micro-physio-meter: biological applications of silicon technology. MEMS AND PROCESS CONTROL MEMS (Micro-Electro-Mechanical Systems) is a class of systems that are physically small. These systems have both electrical and mechanical components. MEMS originally used modified integrated circuit (computer chip) fabrication techniques and materials to create these very small mechanical devices
  • 24. DEFENCE APPLICATIONS Smart cameras that can operate sophisticated software analytics onboard the camera itself, and then report alarms remotely using IP networking facilities. It has ability to perform object detection, crowd pattern analysis, secure zone intrusion detection, and so on boost the efficiency and accuracy of a human operator who is likely monitoring multiple banks of displays. Smart sensor equipments helps in monitoring a wide variety of parameters like EMI, fatigue loading, thermal cycling, vibration and shock levels, acoustic emissions and corrosive environments
  • 25. 6. SUMMARY Automization can’t be imagined without the smart sensors. These sensors are potentially cheaper, offer higher performance and reliability, and are much smaller in size than their discrete counterparts. They have also been employed in applications including transportation and health care and in large part have fulfilled their promise. Sensor signals can be amplified and properly processed, are multiplexed and are buffered ready to be received by micro-processor on these signals and offer a standard data stream to the user thus making the entire sensing module behave like a system periphery rather than a passive component.
  • 26. REFERENCES 1. Frank. R; “Understanding the Smart Sensors”; Artech House; Second edition; Page 1-5; 2000 2. Nitaigour P. Mahalik: Sensor Networks and Configuration. Fundamentals, Standards, Platforms and Applications. Springer Verlag Berlin, english, 1st ed. November 2006, ISBN 3-540- 37364-0, ISBN 978-3-540-37364-3 3. Borky J M and Wise K D 1979 Integrated signal conditioning for silicon pressure sensors IEEE Trans. on Electron Devices ED-26 1906-10 4. M. Bowen, G. Smith, “Considerations for the design of smart sensors,” Sensors and Actuators, A 46- 47(1995) 516-520. 5. S. Middelhoer and A.C. Hoogerwerf, “Smart sensors when and where,” Sensors and Actuators, 8(1985) 39-48. 6. http://www.smartsensortechnologies.com/fs-system.html [Retrieved on 11-11-2014]