| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Woodhead - Molex |
SI500 10MM M12NNEMBNNOM12P4 |
0 |
|
 |
Woodhead - Molex |
SI6000.8MM 04EMBPNCM8P3 |
0 |
|
 |
Woodhead - Molex |
SI600 8MM M18SEMBNNOM8P3 |
0 |
|
 |
Woodhead - Molex |
SI500 20MM M30NQEMB5VCPU4W |
0 |
|
 |
Woodhead - Molex |
SI600 15MM M30NNEMBPNCM12P4 |
0 |
|
 |
Woodhead - Molex |
SI600 4MM M12NNEMBNNCM12P4 |
0 |
|
 |
Woodhead - Molex |
SI500 6MM M12SEMBNNOM12P4 |
0 |
|
 |
Woodhead - Molex |
SI600 8MM M30SNEMBNNOCPV3W |
0 |
|
 |
Woodhead - Molex |
SI600 4MM M12SNEMBPNCM8P3 |
0 |
|
 |
Woodhead - Molex |
SI600 8MM M30SEMBNNOCPV3W |
0 |
|
 |
Woodhead - Molex |
SI600 4MM M8NNEMBPNCM12P4 |
0 |
|
 |
Woodhead - Molex |
SI600 4MM M8NNEMBPNOM12P4 |
0 |
|
 |
Woodhead - Molex |
SI600 4MM M12NEMBNNCM12P4 |
0 |
|
 |
Woodhead - Molex |
SENSOR PROX INDUCTIVE 6MM CYLIND |
10 |
|
 |
Woodhead - Molex |
SI600 8MM M30SNEMBPNCCPV3W |
0 |
|
 |
Woodhead - Molex |
SI700 40MM M30NEMBPNC |
0 |
|
 |
Woodhead - Molex |
SI600 2MM M12SEMBPNOCPV3W |
0 |
|
 |
Woodhead - Molex |
SI500 22MM M30NEMBPNOCPV3W |
0 |
|
 |
Woodhead - Molex |
SI700 20MM M30EMBNNCCTP3W |
0 |
|
 |
Woodhead - Molex |
SI600 4MM M8NNEMBNNOM12P4 |
0 |
|
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.
| Type | Functional Characteristics | Application Examples |
|---|---|---|
| Inductive Proximity Sensors | React to metallic objects via electromagnetic fields | Industrial machinery position detection |
| Capacitive Proximity Sensors | Respond to dielectric properties of materials | Level detection in chemical tanks |
| Photoelectric Sensors | Use light beam interruption/reflection principles | Automatic door systems |
| Ultrasonic Sensors | Measure distance via sound wave propagation | Vehicle parking assistance |
| Hall Effect Sensors | Respond to magnetic field variations | Brushless motor commutation |
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
| Parameter | Description | Importance |
|---|---|---|
| Detection Range | Effective operating distance (mm to meters) | Determines application suitability |
| Resolution | Smallest detectable distance change | Impacts measurement precision |
| Response Time | Signal processing speed ( s to ms) | Critical for high-speed operations |
| Environmental Resistance | Temperature, humidity, and vibration tolerance | Ensures operational reliability |
| Output Type | Analog voltage/current or digital interface | System integration compatibility |
| Manufacturer | Representative Product | Key Features |
|---|---|---|
| Omron | E2E-X10DT | 30mm detection range, IP69K rating |
| Keyence | LKG50 | Laser-based 50m range |
| Siemens | 3RG4134 | IO-Link interface support |
| TE Connectivity | KSC1093481 | Automotive-grade reliability |
| ams AG | TCS3701 | Capacitive touch detection |
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.
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)