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Acoustic Sensor And Range Sensor
Medandrao. Kavya Sree
20501A0355
ACOUSTIC
SENSORS
The term "acoustic" relates to sound or the sense of hearing.
DEFINITION :
Acoustic sensors are devices that
convert sound waves into electrical signals. They
work by detecting the changes in pressure or
velocity caused by sound waves. These changes
are then converted into electrical signals using a
variety of methods, such as electromagnetism,
capacitance, or piezoelectricity.
PRINCIPLE
:
Acoustic sensors operate based on the principle of
converting mechanical vibrations caused by sound waves into
electrical signals. The core components typically include a
diaphragm or membrane that vibrates in response to sound, and
this motion is transformed into an electrical signal through various
mechanisms, such as piezoelectric, electromagnetic, or capacitive
transduction.
“Several methods for
converting sound waves
into electrical signals will
be discussed in the
following slides.”
FLOW CHART OF WORKING
:
The working of an acoustic sensor
is depicted in a flowchart, illustrating the key
stages from sound wave input to the output
of acoustic data.
Start
Sound Waves
Detected
Diaphragm
Vibrates
Mechanical
Deformation
Electrical Signal
Generated
Output Electrical
Signal
End
CLASSIFICATION
:
• Dynamic Microphones: Commonly used in audio recording.
• Condenser Microphones: Known for their high sensitivity and accuracy.
• Piezoelectric Sensors: Utilize piezoelectric materials to generate an electrical charge.
• Ultrasound Sensors: Emit and receive ultrasonic waves for distance measurement.
• Microphone Arrays: Multiple microphones arranged in an array for directional sound capture.
• Hydrophones: Designed for underwater sound detection.
• Geophones: Detect and record ground vibrations using acoustic sensors.
• Surface Acoustic Wave (SAW) sensors: Rely on surface acoustic waves to measure physical
phenomena like pressure, temperature, and viscosity.
Advantages:
• High sensitivity and accuracy in
sound detection.
• Versatile and applicable in various
environments for qualitative and
quantitative analysis.
• Some types are highly directional,
enabling the isolation of specific sound
sources.
Disadvantages:
• Some equipment has a limited
frequency response range.
• The equipment may need calibration
and maintenance for optimal
performance.
• Background noise can affect the
accuracy of this equipment.
APPLICATIONS IN GENERAL
USAGE:
1.Audio Recording: Music Production
2.Telecommunications: Phone Calls
3.Home Automation: Voice Commands
4.Security Systems: Intrusion Detection
5.Medical Devices: Stethoscopes
APPLICATIONS IN
ROBOTICS:
1.Collision Detection: Robot Safety
2.Distance Measurement: Obstacle Avoidance
3.Leak Detection: Fluid Systems
4.Quality Control: Defect Detection
5.Sound Localization: Navigation Aid
1. Self-driving cars
2. Service robots
3. Industrial robots
4. Search and rescue
robots
5. Space exploration
robots
6. Medical robots
7. Underwater robots
8. Military robots
APPLICATIONS IN INDUSTRIAL
ROBOTICS:
ADVANCEMENTS IN ACOUSTIC
SENSOR APPLICATIONS IN
INDUSTRIAL ROBOTICS:
1.Collaborative Robots ( Cobots )
2.Condition Monitoring
3.Sound-Based Object Detection
4.Localization and Mapping
5.Human-Robot Collaboration
6.Sound-Based Quality Control
7.Dynamic Object Tracking
8.Noise Reduction
9.Combining Multiple Sensor Inputs
10.Improved Sensing Algorithms
RANGE
SENSOR
DEFINITION :
A range sensor is a device that measures the distance between itself and an object.
Range sensors are used in a wide variety of applications, including robotics, self-driving cars,
industrial automation, and consumer electronics.
PRINCIPLE
:
Range sensors operate based on the time it takes for a signal (such as light, sound, or
radio waves) to travel from the sensor to an object and back.
FLOW CHART OF WORKING :
The working of a range
sensor is depicted in a flowchart,
illustrating the key stages from sound
wave input to the output of acoustic
data.
Start
Emit a signal
Measure the signal's
interaction with an object
Calculate the distance to
the object
Output the distance
measurement
End
THERE ARE SEVERAL COMMON PRINCIPLES USED IN
RANGE SENSORS :
•ToF sensors: LiDAR sensors, radar sensors, and ultrasonic sensors
•Phase shift sensors: Infrared range sensors
•Triangulation sensors: Laser range sensors
CLASSIFICATION :
• By type of signal emitted:
• Optical range sensors: Emit light, such as laser light or infrared light.
• Acoustic range sensors: Emit sound waves, such as ultrasonic waves.
• Radio range sensors: Emit radio waves, such as radar waves.
• By principle of operation:
• Time-of-flight (ToF) range sensors: Measure the time it takes for a signal to travel to and
from an object.
• Phase shift range sensors: Measure the shift in the phase of a signal when it is reflected
from an object.
• Triangulation range sensors: Measure the angle at which a signal is reflected from an
object.
• By range:
• Short-range range sensors: Measure distances of up to a few meters.
• Medium-range range sensors: Measure distances of a few meters to a few hundred meters.
• Long-range range sensors: Measure distances of a few hundred meters to several kilo
metres.
EXAMPLES OF DIFFERENT TYPES OF RANGE
SENSORS:
•Optical range sensors:
• Laser range sensors
• Infrared range sensors
• LiDAR sensors
•Acoustic range sensors:
• Ultrasonic range sensors
•Radio range sensors:
• Radar sensors
ADVANTAGES:
• Range sensors are highly precise and ideal for applications requiring accuracy.
• They offer non-contact measurement, preventing wear and tear.
• Range sensors provide real-time data for quick decision-making.
• They are versatile and adaptable to various industries and needs.
• Range sensors detect objects, aiding in collision avoidance.
• They enhance safety in applications like robotics and autonomous vehicles.
• Range sensors enable automation by responding to their environment.
DISADVANTAGES:
• Some range sensors have limited measurement range.
• Range sensors can be sensitive to environmental conditions, affecting accuracy.
• High-precision range sensors can be costly.
• Calibration can be complex in multi-sensor setups.
• Regular maintenance may be needed, adding to operational costs.
• Data processing is often computationally intensive.
• Interference from similar signals may affect range sensor performance.
RANGE SENSOR APPLICATIONS IN GENERAL
USAGE:
• Everyday Tech
•Car Safety
•Phone Features
•Drone Navigation
•Gaming Magic
APPLICATIONS IN INDUSTRIAL ROBOTICS:
•Robot Safety
•Quality Control
•Object Detection
•Path Planning
•Collision Avoidance
•Precision Measurement
•Environmental Sensing
•Robotic Perception
FUTURE TRENDS IN RANGE SENSOR
TECHNOLOGY:
1.New Materials
2.AI Integration
3.3D Sensing
4.Cost Reduction
As range sensor technology continues to develop, the cost of range
sensors is expected to decrease. This will make range sensors more
accessible to a wider range of applications.
THANK YOU

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Acoustic & Range Sensors - Industrial Robotics.pptx

  • 1. Acoustic Sensor And Range Sensor Medandrao. Kavya Sree 20501A0355
  • 2. ACOUSTIC SENSORS The term "acoustic" relates to sound or the sense of hearing.
  • 3. DEFINITION : Acoustic sensors are devices that convert sound waves into electrical signals. They work by detecting the changes in pressure or velocity caused by sound waves. These changes are then converted into electrical signals using a variety of methods, such as electromagnetism, capacitance, or piezoelectricity.
  • 4. PRINCIPLE : Acoustic sensors operate based on the principle of converting mechanical vibrations caused by sound waves into electrical signals. The core components typically include a diaphragm or membrane that vibrates in response to sound, and this motion is transformed into an electrical signal through various mechanisms, such as piezoelectric, electromagnetic, or capacitive transduction. “Several methods for converting sound waves into electrical signals will be discussed in the following slides.”
  • 5. FLOW CHART OF WORKING : The working of an acoustic sensor is depicted in a flowchart, illustrating the key stages from sound wave input to the output of acoustic data. Start Sound Waves Detected Diaphragm Vibrates Mechanical Deformation Electrical Signal Generated Output Electrical Signal End
  • 6. CLASSIFICATION : • Dynamic Microphones: Commonly used in audio recording. • Condenser Microphones: Known for their high sensitivity and accuracy. • Piezoelectric Sensors: Utilize piezoelectric materials to generate an electrical charge. • Ultrasound Sensors: Emit and receive ultrasonic waves for distance measurement. • Microphone Arrays: Multiple microphones arranged in an array for directional sound capture. • Hydrophones: Designed for underwater sound detection. • Geophones: Detect and record ground vibrations using acoustic sensors. • Surface Acoustic Wave (SAW) sensors: Rely on surface acoustic waves to measure physical phenomena like pressure, temperature, and viscosity.
  • 7. Advantages: • High sensitivity and accuracy in sound detection. • Versatile and applicable in various environments for qualitative and quantitative analysis. • Some types are highly directional, enabling the isolation of specific sound sources. Disadvantages: • Some equipment has a limited frequency response range. • The equipment may need calibration and maintenance for optimal performance. • Background noise can affect the accuracy of this equipment.
  • 8. APPLICATIONS IN GENERAL USAGE: 1.Audio Recording: Music Production 2.Telecommunications: Phone Calls 3.Home Automation: Voice Commands 4.Security Systems: Intrusion Detection 5.Medical Devices: Stethoscopes
  • 9. APPLICATIONS IN ROBOTICS: 1.Collision Detection: Robot Safety 2.Distance Measurement: Obstacle Avoidance 3.Leak Detection: Fluid Systems 4.Quality Control: Defect Detection 5.Sound Localization: Navigation Aid 1. Self-driving cars 2. Service robots 3. Industrial robots 4. Search and rescue robots 5. Space exploration robots 6. Medical robots 7. Underwater robots 8. Military robots APPLICATIONS IN INDUSTRIAL ROBOTICS:
  • 10. ADVANCEMENTS IN ACOUSTIC SENSOR APPLICATIONS IN INDUSTRIAL ROBOTICS: 1.Collaborative Robots ( Cobots ) 2.Condition Monitoring 3.Sound-Based Object Detection 4.Localization and Mapping 5.Human-Robot Collaboration 6.Sound-Based Quality Control 7.Dynamic Object Tracking 8.Noise Reduction 9.Combining Multiple Sensor Inputs 10.Improved Sensing Algorithms
  • 12. DEFINITION : A range sensor is a device that measures the distance between itself and an object. Range sensors are used in a wide variety of applications, including robotics, self-driving cars, industrial automation, and consumer electronics. PRINCIPLE : Range sensors operate based on the time it takes for a signal (such as light, sound, or radio waves) to travel from the sensor to an object and back.
  • 13. FLOW CHART OF WORKING : The working of a range sensor is depicted in a flowchart, illustrating the key stages from sound wave input to the output of acoustic data. Start Emit a signal Measure the signal's interaction with an object Calculate the distance to the object Output the distance measurement End
  • 14. THERE ARE SEVERAL COMMON PRINCIPLES USED IN RANGE SENSORS : •ToF sensors: LiDAR sensors, radar sensors, and ultrasonic sensors •Phase shift sensors: Infrared range sensors •Triangulation sensors: Laser range sensors
  • 15. CLASSIFICATION : • By type of signal emitted: • Optical range sensors: Emit light, such as laser light or infrared light. • Acoustic range sensors: Emit sound waves, such as ultrasonic waves. • Radio range sensors: Emit radio waves, such as radar waves. • By principle of operation: • Time-of-flight (ToF) range sensors: Measure the time it takes for a signal to travel to and from an object. • Phase shift range sensors: Measure the shift in the phase of a signal when it is reflected from an object. • Triangulation range sensors: Measure the angle at which a signal is reflected from an object. • By range: • Short-range range sensors: Measure distances of up to a few meters. • Medium-range range sensors: Measure distances of a few meters to a few hundred meters. • Long-range range sensors: Measure distances of a few hundred meters to several kilo metres.
  • 16. EXAMPLES OF DIFFERENT TYPES OF RANGE SENSORS: •Optical range sensors: • Laser range sensors • Infrared range sensors • LiDAR sensors •Acoustic range sensors: • Ultrasonic range sensors •Radio range sensors: • Radar sensors
  • 17. ADVANTAGES: • Range sensors are highly precise and ideal for applications requiring accuracy. • They offer non-contact measurement, preventing wear and tear. • Range sensors provide real-time data for quick decision-making. • They are versatile and adaptable to various industries and needs. • Range sensors detect objects, aiding in collision avoidance. • They enhance safety in applications like robotics and autonomous vehicles. • Range sensors enable automation by responding to their environment.
  • 18. DISADVANTAGES: • Some range sensors have limited measurement range. • Range sensors can be sensitive to environmental conditions, affecting accuracy. • High-precision range sensors can be costly. • Calibration can be complex in multi-sensor setups. • Regular maintenance may be needed, adding to operational costs. • Data processing is often computationally intensive. • Interference from similar signals may affect range sensor performance.
  • 19. RANGE SENSOR APPLICATIONS IN GENERAL USAGE: • Everyday Tech •Car Safety •Phone Features •Drone Navigation •Gaming Magic
  • 20. APPLICATIONS IN INDUSTRIAL ROBOTICS: •Robot Safety •Quality Control •Object Detection •Path Planning •Collision Avoidance •Precision Measurement •Environmental Sensing •Robotic Perception
  • 21. FUTURE TRENDS IN RANGE SENSOR TECHNOLOGY: 1.New Materials 2.AI Integration 3.3D Sensing 4.Cost Reduction As range sensor technology continues to develop, the cost of range sensors is expected to decrease. This will make range sensors more accessible to a wider range of applications.