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Choose the 5g iot smart city you want to invest in. HKT Lora provides you with a variety of 5g iot smart city and related articles.
LoRaWAN Smoke Detector

The smoke detectors of HKT Lora, based on LoRaWAN, detect smoke and high temperatures, and support wireless sending warnings to the system.

  • Price: Negotiable
  • MOQ: 
  • NRC: 0.88 from ISO354
  • Fire protection performance: Class A
  • Eco-Friendly: E1
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LoRaWAN OUTDOOR Gateway

Outdoor IP67 LoRaWAN Gateway 8 Channel with Ethernet Wi-Fi Cellular compatible with multiple network server platforms like AWS, TTN, ChirpStack, Loriot and Everynet which offers a wide range of options for data processing.

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LoRaWAN Water Level Monitor

HKT LoRaWAN Water Level Monitor It features a ceramic capacitive pressure sensor, which is resistant to clogging, easy to clean, and offers excellent corrosion resistance.Leveraging the spread spectrum communication technology of LoRa, coupled with a high-gain external antenna, the device ensures better transmission and reception of wireless signals, thereby extending the wireless communication range.

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LoRaWAN Surface Mounted Parking Sensor

Our parking space sensors help improve the efficiency of parking management through collcting and transforming the data of parking space.

  • Price: Negotiable
  • MOQ: 
  • NRC: 0.88 from ISO354
  • Fire protection performance: Class A
  • Eco-Friendly: E1
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LoRaWAN PIR Sensor

The LoRa PIR sensor based on passive infrared technology to detect a motion or occupancy. It can detect whether there is movement within the range of 6-8m and send the changes via LoRaWAN* network. 

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LoRaWAN Smart Wall Switch Panel
Supports LoRaWAN protocol;Touch panel with tempered glass material;Supports delay and scheduled on/off functions;Button count from 1 to 3 (optional) ;Supports local control and remote control;Designed with an 86-type standard base.
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LoRaWAN light sensor

Ø Supports LoRaWAN protocol; Ø Supports tamper-proof alarms and low-voltage detection; ØBuilt-in 4000mAh battery; ØMeasurement Range: 0~65535LUX; ØAccuracy: ±7%.

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