| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
InnoSenT GmbH |
SMR-333 24GHZ RADAR MODULE |
545 |
|
 |
InnoSenT GmbH |
ISYS-5020 RADAR MODULE |
38 |
|
 |
InnoSenT GmbH |
ISYS-4001 RADAR MODULE |
60 |
|
 |
InnoSenT GmbH |
IPS-937_F RADAR MODULE |
103 |
|
 |
InnoSenT GmbH |
IVQ-3005 RADAR MODULE |
44 |
|
 |
InnoSenT GmbH |
IVS-282 RADAR MODULE |
76 |
|
 |
InnoSenT GmbH |
MOTION DETECTION RADAR SWITCH |
0 |
|
 |
InnoSenT GmbH |
SMR-314 RADAR MODULE |
857 |
|
 |
InnoSenT GmbH |
ISYS-6003 RADAR MODULE |
0 |
|
 |
InnoSenT GmbH |
MODULE RADAR SYSTEM |
0 |
|
|
InnoSenT GmbH |
MODULE RADAR SYSTEM |
0 |
|
|
InnoSenT GmbH |
MODULE RADAR SYSTEM |
0 |
|
|
InnoSenT GmbH |
MODULE RADAR SYSTEM |
0 |
|
|
InnoSenT GmbH |
MODULE RADAR SYSTEM |
0 |
|
|
InnoSenT GmbH |
MODULE RADAR SYSTEM |
0 |
|
|
InnoSenT GmbH |
MODULE RADAR SYSTEM |
0 |
|
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.
| Type | Functional Characteristics | Application Examples |
|---|---|---|
| Passive Infrared (PIR) | Detected motion via infrared radiation changes | Smart lighting, security alarms |
| Ultrasonic | Uses sound waves for distance measurement | Automotive parking assist, liquid level detection |
| Microwave/Radar | Doppler effect for high-precision motion detection | Industrial automation, healthcare monitoring |
| Capacitive | Electrostatic field disruption detection | Touchless switches, occupancy detection in seats |
| Time-of-Flight (ToF) | Light pulse travel time measurement | Robot navigation, augmented reality |
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
| Parameter | Importance |
|---|---|
| Detection Range | Defines operational coverage area (0.1m-10m typical) |
| Resolution | Minimum detectable movement (1cm-50cm) |
| Response Time | Critical for real-time applications (<10ms-1s) |
| False Trigger Rate | Measures reliability in complex environments |
| Power Consumption | Key for battery-operated devices (<10 A-100mA) |
| Environmental Tolerance | Operating temperature (-40 C to +85 C), IP rating |
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)
| Manufacturer | Representative Product | Key Features |
|---|---|---|
| Honeywell | HPIR-LS-3V | Low-power PIR with 120 FOV |
| Texas Instruments | AWR1642 | 76-81GHz automotive radar |
| STMicroelectronics | VL53L5CX | Multi-zone ToF sensor |
| Omron | E2AP | Ultrasonic presence detection |
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
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.