Overview
This board is NOT recommended for new designs. Please consider using SAM-IoT Wx v2 Development Board (EV62V87A)
The SAM-IoT WG Development Board features the SAMD21G18 Arm® Cortex®-M0+ based 32-bit microcontroller (MCU), an ATECC608A CryptoAuthentication™ secure element IC and the fully certified ATWINC1510 Wi-Fi® network controller for evaluating sensor node applications. The on-board debugger allows you to program and debug the MCU without any additional hardware. Use the mikroBUS™ sockets to expand your design with your choice of MIKROE Click boards™.
Microchip MCP9808 high accuracy temperature sensor , the light sensor, as well as the add-on board with TDK InvenSense ICM-42688-P, High precision 6-axis MEMS and an additional option with Bosch's BMI160, a low power Inertial Measurement Unit (IMU, will enable designers to collect data to train and create Machine Learning models.
We now support cloud connectivity to AWS and Azure with SAM IoT WX v2 Development Board.
- SAMD21G18, 32-bit Microcontroller
- 256 KB flash memory and 32KB of SRAM
- ATWINC1510 WiFi Module
- Single-band 2.4GHz b/g/n IoT Network Controller, Pre-certified module
- ATECC608A CryptoAuthentication™ device
- Protected storage for 16 keys, SHA256, AES-CCM, ECDH (Elliptic Curve Diffie-Hellman), ECDSA
- Other Board Features
- Four Status LED’s
- Blue LED indicates a connection to Wi-Fi network
- Green LED indicates a connection to the Google Cloud servers
- Yellow LED indicates a packet of sensor data has been successfully published to the Google Cloud MQTT servers
- Red LED indicates an Error occurred
- Two mechanical buttons
- TEMT6000 Light sensor
- MCP9808 Temperature sensor
- mikroBUS™ header to interface to MIKROE Click boards™
- Four Status LED’s
- On-board Debugger
- Auto-ID for board identification in Microchip MPLAB X
- Programming and debugging
- Virtual COM port (CDC)
- One logic analyzer channel (DGI GPIO)
- USB and battery powered
- Integrated Li-Ion/LiPo battery charge
| Tool Details |
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The SAMD21 Machine Learning evaluation kit features the SAMD21G18 Arm® Cortex®-M0+ based 32-bit microcontroller (MCU) with on-board debugger (nEDBG), an ATECC608A CryptoAuthentication™ secure element IC and the fully certified ATWINC1510 Wi-Fi® network controller.
Microchip MCP9808 high accuracy temperature sensor , the light sensor, as well as the add-on board with TDK InvenSense ICM-42688-P, High precision 6-axis MEMS, will enable designers to collect data to train and create Machine Learning models. User's guide and project examples are available in MPLAB Machine Learning Development Suite User's Guide. |
The SAMD21 Machine Learning evaluation kit features the SAMD21G18 Arm® Cortex®-M0+ based 32-bit microcontroller (MCU) with on-board debugger (nEDBG), an ATECC608A CryptoAuthentication™ secure element IC and the fully certified ATWINC1510 Wi-Fi® network controller.
Microchip MCP9808 high accuracy temperature sensor , the light sensor, as well as the add-on board with Bosch's BMI160, a low power Inertial Measurement Unit (IMU), will enable designers to collect data to train and create Machine Learning models. User's guide and project examples are available in MPLAB Machine Learning Development Suite User's Guide. |