STEVAL-SMARTAG NFC Sensor Tag

STMicroelectronics' smart and flexible NFC tracker evaluation boards STEVAL-SMARTAG2 and STEVAL-SMARTAG1 are equipped with sensors. They include a comprehensive software library and a sample application to monitor and log sensor data over NFC from an Android or iOS device. The ultra-low-power sensor node evaluation board mounts an ST25DV NFC tag, an STM32L4 or STM32L0 Arm® Cortex®-M0+, environment sensors (temperature, humidity, and pressure), and motion (accelerometer) sensor. The STEVAL-SMARTAG2 evaluation board can be equipped with a battery charger fed by a full-wave rectifier for NFC energy harvesting. The STEVAL-SMARTAG1 features NFC harvesting to supply power and a battery cradle for a CR2032 battery.

Software: Download the FP-SNS-SMARTAG1 Software

STEVAL-SMARTAG1 Features

• ST25DV64K dynamic NFC tag solution based on 64 Kbit (8 KByte) EEPROM and with I²C interface, fast transfer mode, and energy harvesting features
• STM32L031K6 ultra-low-power Arm Cortex-M0+ MCU running at 32 MHz with 32 Kbytes Flash and 8 Kbytes RAM
• LIS2DW12 ultra-low-power, high-performance, three-axis linear accelerometer
• LPS22HB ultra-compact piezo-resistive absolute pressure sensor, which functions as a digital output barometer: 260 hPa to 1260 hPa
• HTS221 capacitive digital sensor for relative humidity and temperature
• STLQ015 low drop linear regulator power management
• CR2032 battery-powered (not included)
• STM32Cube function pack (FP-SNS-SMARTAG1)
• Android (Google Play) and iOS demo apps (ST SmarTag)

STEVAL-SMARTAG2 Features

• NFCSENSORTAG.BOX: optimized form factor and encapsulated in a plastic case for testing
• ST25DV64KC-JF6D3 dynamic NFC/RFID tag IC with 64 Kbit EEPROM and fast transfer mode capability
• STM32L4P5-CGU6 ultra-low-power Arm Cortex-M4 32-bit MCU+FPU, 150 DMIPS, up to 1 MB Flash memory, 320 KB SRAM, LCD-TFT, external SMPS
• LSM6DSO32X iNEMO 6 DoF inertial module with 32 g accelerometer and embedded machine learning core
• LIS2DUXS12 ultra-low-power 3-axis smart accelerometer with machine learning core and Qvar
• H3LIS331DL MEMS motion sensor: low-power, high-g 3-axis digital accelerometer
• LPS22DF low-power and high-precision MEMS nano pressure sensor: 260 hPa to 1260 hPa absolute digital output barometer
• STTS22H low-voltage, ultra-low-power, 0.5°C accuracy I²C/SMBus 3.0 temperature sensor
• VD6283TX ambient light sensor with hybrid filter multispectral and with embedded light flicker engine
• STLQ020 200 mA ultra-low quiescent current LDO
• STBC15 ultra-low current consumption linear battery charger (optional component, not populated)
• STSAFE-A110 authentication, state-of-the-art security for peripherals and Internet of Things (IoT) devices (optional component, not populated)
• M41T62LC low-power serial real-time clocks (RTCs) with alarm (optional component, not populated)
• CR2032 or LIR2032 battery-powered (not included)
• STM32Cube function pack (FP-SNS-SMARTAG2)
• End-to-end proof of concept ecosystem mobile app and cloud dashboard:
  • DSH-ASSETRACKING web cloud dashboard
  • STAssetTracking mobile app available on Google Play and the App store