Proximity/Occupancy Sensors - Finished Units

Image Part Number Description / PDF Quantity Rfq
80.00000155

80.00000155

InnoSenT GmbH

IPS-265_F RADAR MODULE

974

80.00000062

80.00000062

InnoSenT GmbH

IPM-165_F RADAR MODULE

1857

80.00000049

80.00000049

InnoSenT GmbH

INS-3330 24GHZ RADAR MODULE

503

80.00000324

80.00000324

InnoSenT GmbH

IVS-947 RADAR MODULE

204

80.00000351

80.00000351

InnoSenT GmbH

INS-3331 RADAR MODULE

198

80.00000161

80.00000161

InnoSenT GmbH

IPS-280 RADAR MODULE

206

80.00000154

80.00000154

InnoSenT GmbH

IPS-265 RADAR MODULE

974

80.00000328

80.00000328

InnoSenT GmbH

IVS-979 RADAR MODULE

46

80.00000341

80.00000341

InnoSenT GmbH

SMR-313 RADAR MODULE

864

80.00000079

80.00000079

InnoSenT GmbH

IPM-365_F RADAR MODULE

958

80.00000061

80.00000061

InnoSenT GmbH

IPM-165 24GHZ RADAR MODULE

17

80.00000347

80.00000347

InnoSenT GmbH

SMR-334 RADAR MODULE

1135

80.00000368

80.00000368

InnoSenT GmbH

IVS-362 RADAR MODULE

469

80.00000358

80.00000358

InnoSenT GmbH

IPS-937 24GHZ RADAR MODULE

94

80.00000443

80.00000443

InnoSenT GmbH

ISYS-6030 RADAR MODULE

9

80.00000356

80.00000356

InnoSenT GmbH

IPS-354 24GHZ RADAR MODULE

229

80.00000282

80.00000282

InnoSenT GmbH

IVS-167 RADAR MODULE

91

80.00000078

80.00000078

InnoSenT GmbH

IPM-365 RADAR MODULE

1494

80.00000194

80.00000194

InnoSenT GmbH

ISYS-4004 RADAR MODULE

22

80.00000199

80.00000199

InnoSenT GmbH

ISYS-5010 24GHZ RADAR MODULE

46

Proximity/Occupancy Sensors - Finished Units

1. Overview

Proximity/occupancy sensors are devices that detect the presence, absence, or distance of objects or humans within a specific area. These sensors convert physical presence into electrical signals, enabling automated control systems in various applications. Their importance spans across smart buildings, industrial automation, healthcare, and consumer electronics, driving energy efficiency, safety, and user experience improvements.

2. Major Types and Functional Classification

TypeFunctional CharacteristicsApplication Examples
Passive Infrared (PIR)Detected motion via infrared radiation changesSmart lighting, security alarms
UltrasonicUses sound waves for distance measurementAutomotive parking assist, liquid level detection
Microwave/RadarDoppler effect for high-precision motion detectionIndustrial automation, healthcare monitoring
CapacitiveElectrostatic field disruption detectionTouchless switches, occupancy detection in seats
Time-of-Flight (ToF)Light pulse travel time measurementRobot navigation, augmented reality

3. Structure and Components

Typical units consist of: - Sensing element (e.g., pyroelectric detector for PIR) - Signal conditioning circuitry (amplifiers, filters) - Microcontroller with detection algorithms - Communication interface (UART, I2C, Zigbee) - Protective housing with optical/mechanical shielding - Power management module

4. Key Technical Specifications

ParameterImportance
Detection RangeDefines operational coverage area (0.1m-10m typical)
ResolutionMinimum detectable movement (1cm-50cm)
Response TimeCritical for real-time applications (<10ms-1s)
False Trigger RateMeasures reliability in complex environments
Power ConsumptionKey for battery-operated devices (<10 A-100mA)
Environmental ToleranceOperating temperature (-40 C to +85 C), IP rating

5. Application Fields

Primary industries include: - Smart buildings (HVAC control, lighting automation) - Automotive (occupant detection, autonomous driving) - Healthcare (patient monitoring, equipment usage tracking) - Industrial (machine safety, asset management) - Consumer electronics (smartphones, gaming consoles)

6. Leading Manufacturers and Products

ManufacturerRepresentative ProductKey Features
HoneywellHPIR-LS-3VLow-power PIR with 120 FOV
Texas InstrumentsAWR164276-81GHz automotive radar
STMicroelectronicsVL53L5CXMulti-zone ToF sensor
OmronE2APUltrasonic presence detection

7. Selection Guidelines

Key considerations: - Match detection physics to application (e.g., radar for through-wall sensing) - Environmental factors (temperature, ambient light, EMI) - Integration requirements (form factor, communication protocols) - Regulatory compliance (FCC, CE) - Cost vs performance trade-offs

Industry Trends Analysis

Current developments focus on: - AI-enhanced pattern recognition - Wireless sensor network integration - Multi-modal sensing fusion - Energy harvesting capabilities - Miniaturization for IoT applications The global market is projected to grow at 12.3% CAGR through 2027, driven by smart city initiatives and Industry 4.0 adoption.

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