Proximity Sensors

Image Part Number Description / PDF Quantity Rfq
BHS0041

BHS0041

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INDUCTIVE SENSOR, 51 X 48 X 52.3

93

BHS003H

BHS003H

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DIMENSION=51 X 48 X 23.16 MM, ST

0

BES0161

BES0161

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DIMENSION= 12 X 70 MM, STYLE=M12

43

BES00J6

BES00J6

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DIMENSION= 4 X 27 MM, STYLE=D4.0

8

BES02HK

BES02HK

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DIMENSION= 8 X 55.5 MM, STYLE=M8

38

BHS000M

BHS000M

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DIMENSION=64.2 X 48 X 44.45 MM,

6

BES005P

BES005P

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DIMENSION= 12 X 53 MM, STYLE=M12

16

BHS0007

BHS0007

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DIMENSION=64.2 X 48 X 31.125 MM,

7

BCS0011

BCS0011

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DIMENSION= 5 X 29 MM, SERIES=M05

23

BES009P

BES009P

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DIMENSION= 30 X 65 MM, STYLE=M30

5

BCS003K

BCS003K

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DIMENSION= 50 X 10 MM, SERIES=D5

37

BES0286

BES0286

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DIMENSION= 12 X 60 MM, STYLE=M12

30

BES01PC

BES01PC

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DIMENSION= 8 X 58 MM, STYLE=M8X1

12

BES05NC

BES05NC

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DIMENSION= 18 X 56 MM, STYLE=M18

0

BES01LR

BES01LR

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DIMENSION= 8 X 55 MM, STYLE=M8X1

15

BES02WP

BES02WP

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DIMENSION= 12 X 60 MM, STYLE=M12

21

BUS004J

BUS004J

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STYLE=BLOCK STYLE, ANALOG OUTPUT

24

BHS002Y

BHS002Y

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DIMENSION= 12 X 56 MM, STYLE=M12

9

BES00Z1

BES00Z1

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DIMENSION= 12 X 44 MM, STYLE=M12

134

BES02A5

BES02A5

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DIMENSION= 30 X 61.5 MM, STYLE=M

4

Proximity Sensors

1. Overview

Proximity sensors are non-contact detection devices that identify the presence, absence, or distance of objects within a specific range. These sensors convert physical phenomena into electrical signals, enabling automated systems to perceive environmental changes. Their importance in modern technology spans across industrial automation, consumer electronics, automotive safety systems, and smart infrastructure, providing critical data for process optimization and human-machine interaction.

2. Main Types and Functional Classification

TypeFunctional CharacteristicsApplication Examples
Inductive Proximity SensorsReact to metallic objects via electromagnetic fieldsIndustrial machinery position detection
Capacitive Proximity SensorsRespond to dielectric properties of materialsLevel detection in chemical tanks
Photoelectric SensorsUse light beam interruption/reflection principlesAutomatic door systems
Ultrasonic SensorsMeasure distance via sound wave propagationVehicle parking assistance
Hall Effect SensorsRespond to magnetic field variationsBrushless motor commutation

3. Structure and Components

Typical proximity sensors consist of: - Sensing Element: Converts physical parameters to electrical signals - Signal Conditioning Circuitry: Amplifies and filters raw signals - Enclosure: IP65-IP69K rated housing for environmental protection - Interface Module: Provides analog/digital output interfaces - Power Supply Unit: Regulates operating voltage for internal components

4. Key Technical Specifications

ParameterDescriptionImportance
Detection RangeEffective operating distance (mm to meters)Determines application suitability
ResolutionSmallest detectable distance changeImpacts measurement precision
Response TimeSignal processing speed ( s to ms)Critical for high-speed operations
Environmental ResistanceTemperature, humidity, and vibration toleranceEnsures operational reliability
Output TypeAnalog voltage/current or digital interfaceSystem integration compatibility

5. Application Fields

  • Industrial Automation: Robotic arms, conveyor systems
  • Consumer Electronics: Smartphone proximity detection
  • Automotive: Collision avoidance systems
  • Healthcare: Non-contact patient monitoring
  • Smart Cities: Intelligent lighting systems

6. Leading Manufacturers and Products

ManufacturerRepresentative ProductKey Features
OmronE2E-X10DT30mm detection range, IP69K rating
KeyenceLKG50Laser-based 50m range
Siemens3RG4134IO-Link interface support
TE ConnectivityKSC1093481Automotive-grade reliability
ams AGTCS3701Capacitive touch detection

7. Selection Recommendations

Key selection criteria include: - Target material properties and detection requirements - Environmental operating conditions - Required detection accuracy and response speed - Interface compatibility with control systems - Mechanical mounting constraints - Total cost of ownership (TCO) considerations Example: For high-precision semiconductor handling, select capacitive sensors with sub-micron resolution and ESD protection.

8. Industry Trends Analysis

Emerging trends include: - Miniaturization for IoT device integration - AI-powered adaptive sensing algorithms - Wireless sensor network (WSN) capabilities - Multi-spectral sensing fusion technology - Energy-harvesting self-powered sensors - Enhanced security protocols for industrial applications - MEMS-based micro-sensor arrays - Increased environmental robustness (IP69K, ATEX compliance)

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