mmWave Human Presence Sensor, RS485/LoRa/LoRaWAN Output
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mmWave Human Presence Sensor, RS485/LoRa/LoRaWAN Output

Original price was: £92.15.Current price is: £27.64.

SKU: ATO-HPS-60G Category:

Description

Lifesmart 3D millimeter-wave radar human presence detection sensor using advanced FMCW processing and radar algorithms. Accurately detects movement, micro-movement, and stillness within a 6-meter adjustable range, supporting up to four detection zones. Offers RS-485 (Modbus-RTU), LoRa, and LoRaWAN for easy IoT integration.

Specification

Model ATO-HPS-S ATO-HPS-RS ATO-HPS-LO ATO-HPS-LW
Signal Output Switch RS485 LoRa LoRawan
DC Power Supply DC 12V
Warm-up Time 1min
Working Temperature -10°C-55°C
Working Humidity 5-80% RH, non-condensing
Material ABS
Installation Top-mounted/Side-mounted
Note If you require air quality monitor sensors in other measurement ranges not listed in the table above, please contact us with your operating environment to help you select the right sensor for your application.


Features

  • Advanced Radar Technology: Utilizes 60GHz FMCW radar, allowing the millimeter wave human presence sensor to detect both motion and stationary presence with high precision.

  • Adjustable Coverage: Detects within a configurable area of up to 20m², with a horizontal beam angle of ±60°, ensuring wide coverage in rooms and offices.

  • Smart Connectivity: Compatible with RS485, LoRa, LoRaWAN, the millimeter-wave radar human presence detection sensor easily integrates into smart control systems.

  • Fast Response: Detects human presence in under 1 second and switches to ‘no one’ status in about 30 seconds, ensuring it supports quick automation triggers.

  • Flexible & Durable: Supports both ceiling and wall mounting, with the mmWave human presence sensor enclosed in an impact-resistant ABS housing for long-term use.

Dimension (unit: mm)

Applications

Tips: The working principle of the millimeter-wave human presence sensor

The millimeter-wave radar human presence sensor detects human movement and rest by transmitting and receiving millimeter-wave signals and utilizing the Doppler effect and phase changes. The sensor can penetrate thin obstacles (such as glass and wooden boards) to detect targets. Even when the human body remains stationary, it can perceive through subtle signal changes generated by slight movements such as breathing. The internal signal processing algorithm will filter and identify the collected raw data, thereby achieving high-precision measurement of human presence and distance, which is suitable for scenarios such as smart home, lighting control, and security monitoring.

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