Proximity Sensors

Image Part Number Description / PDF Quantity Rfq
1202530318

1202530318

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SI600 8MM M18SNEMBNNOCPV3W

0

1202530476

1202530476

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SENSOR PROX INDUCT 0.8MM CYLIND

10

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1202530562

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SI700 10MM M12NEMBNNC

0

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SI500 20MM M18SNEMBNNCM12P4

0

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SI600 2.5MM M8NNEMBNNOCPV3W

0

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SI600 2.5MM M8SNEMBPNCM8P3

0

1202530532

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SI700 3MM M8EMBPNC

0

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SI700 6MM M8NEMBPNC

0

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SI700 10MM M18EMBNNO

0

1202530461

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SI6000.6MM03EMBPNCCPU4W

0

1202530247

1202530247

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SI600 8MM M18NNEMBNNCCPV3W

0

1202530457

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SI600 40MMC44EMBNCOM12P4

15

1202530566

1202530566

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SI700 10MM M12NEMBNNC

0

1202530194

1202530194

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SI600 1.5MM065NEMBNNOM12P4

0

1202530632

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SI700 6MM M12EMBPNC

0

1202530102

1202530102

Woodhead - Molex

SI500 10MM M12SNEMBPNOCPV3W

0

1202530380

1202530380

Woodhead - Molex

SENSOR PROX INDUCTIVE 4MM CYLIND

18

1202530602

1202530602

Woodhead - Molex

SI700 3MM 04NEMBNNC

0

1202530410

1202530410

Woodhead - Molex

SI600 2MM065SEMBNNOCPV4W

0

1202530660

1202530660

Woodhead - Molex

SI700 20MM M30EMBPNCCTP3W

0

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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