SKU: IOWC-0033
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AI-Thinker Ai-WB2-12F Kit BL602 Wi-Fi & BLE 5.0 Dev Board

₹359.00 (Inclusive of all taxes)
Out of Stock

The AI-Thinker Ai-WB2-12F Kit is a development board for the Ai-WB2-12F module, featuring the BL602 RISC-V SoC for dual-band Wi-Fi 802.11b/g/n and Bluetooth Low Energy 5.0 connectivity, designed for low-power IoT applications and programmable via AT commands or the integrated SDK.

Features

  • Features the BL602 32-bit RISC-V CPU with integrated Wi-Fi 802.11b/g/n (72.2 Mbps) and Bluetooth BLE 5.0/Mesh for dual-mode IoT connectivity.
  • Ultra-low power operation with deep sleep current as low as 12μA, ideal for battery-powered sensor nodes and wearable devices.
  • Comprehensive peripheral set includes 11 GPIOs, UART, SPI, I2C, ADC, DAC, PWM, and IR remote interfaces for flexible hardware integration.
  • On-board PCB antenna simplifies design, supports Station, SoftAP, and concurrent BLE modes, and includes robust WPA3 security.
  • Supports secondary development with Windows/Linux SDKs and universal AT commands for rapid prototyping and deployment.

Out of stock

Description

The AI-Thinker Ai-WB2-12F Development Kit provides a hardware platform centered on the Ai-WB2-12F RF module, which integrates the BL602 chip as its core processor. This SoC combines a 32-bit RISC-V CPU, 276KB SRAM, and a fully integrated RF front-end (MAC/BB/PA/LNA) for 2.4GHz Wi-Fi and Bluetooth LE 5.0 operation. The board exposes the module’s DIP-30 pinout, granting direct access to its full suite of digital and analog interfaces for sensor connectivity and control.

Engineered for low-power IoT edge nodes, the module supports multiple sleep modes, including a deep sleep state drawing only 12μA, enabling long-term deployment on coin-cell or small Li-ion batteries. Its hardware-accelerated cryptographic engine (AES-256, SHA-256, TRNG, PKA) ensures secure boot and over-the-air firmware updates, meeting the security demands of commercial smart home and industrial telemetry applications.

Key Features

  • Dual-mode wireless connectivity with IEEE 802.11b/g/n Wi-Fi and Bluetooth Low Energy 5.0 + Mesh support.
  • BL602 RISC-V processor with 276KB RAM and hardware cryptographic accelerators for secure, efficient edge computing.
  • Extensive peripheral interfaces including UART, SPI, I2C, ADC, DAC, PWM, GPIO, and IR remote for versatile sensor and actuator integration.
  • Advanced power management with multiple sleep modes, achieving ultra-low 12μA current in deep sleep for battery-operated designs.
  • Integrated PCB antenna and RF matching circuit, simplifying PCB layout and reducing BOM cost for compact designs.
  • Supports Station, SoftAP, and concurrent Wi-Fi+BLE operational modes for flexible network topologies.
  • Comprehensive security suite supporting WPA3, WPA2 Enterprise, secure boot with ECC-256 signatures, and real-time AES decryption.
  • Development-friendly with pre-flashed AT command firmware and full SDK support for Windows and Linux environments.

Applications

  • Smart home automation sensors and actuators (motion, environment, lighting control).
  • Wearable electronic devices and personal health monitors with BLE connectivity.
  • Industrial IoT (IIoT) telemetry nodes for wireless data logging and monitoring.
  • Battery-powered sensor networks for agriculture, asset tracking, and environmental sensing.
  • Wi-Fi/Bluetooth gateways and bridges for protocol translation and mesh network formation.

Technical Specifications

Microcontroller/SoCBL602 32-bit RISC-V CPU
Wireless ProtocolsWi-Fi 802.11b/g/n, Bluetooth BLE 5.0, Bluetooth Mesh
Frequency Range2400 – 2483.5 MHz
RF Transmit PowerIntegrated PA/LNA (Typical for chip)
Supply Voltage3.3V, 5V
Operating Current< 500 mA (Peak)
Deep Sleep Current12 μA
InterfacesUART, SPI, I2C, ADC, DAC, PWM, GPIO (11 I/O), IR Remote
Antenna ConnectorIntegrated PCB Antenna
Operating Temperature-40°C to +85°C
Flash Memory4 MB (External)
Dimensions (Board)49.66 mm x 25.40 mm

Frequently Asked Questions

How do I program the Ai-WB2-12F development board?

You can program it using the official BL602 SDK for Windows or Linux, which supports C/C++ development. For quick prototyping, use the pre-loaded AT command set via a serial UART at 115200 baud. Connect the board's UART pins (TX/RX) to a USB-to-serial adapter, open a terminal, and send AT commands like "AT" to verify communication. For firmware flashing, use the bouffalo.blflash tool to write .bin files via UART with the GPIO8 pin held low during boot.

What is the power supply requirement and how do I minimize current consumption?

The board accepts a 3.3V or 5V DC supply via its VCC pin. For lowest power, use the deep sleep mode which draws approximately 12μA. Configure sleep via SDK APIs or AT commands (e.g., AT+SLEEP). Ensure unused GPIOs are set to input pull-up/down to prevent leakage. Power the module directly at 3.3V for optimal RF performance and efficiency, as the on-board regulator may add quiescent current if supplying 5V.

Can I use an external antenna with the Ai-WB2-12F module?

The Ai-WB2-12F kit version uses an integrated PCB antenna, which is not user-replaceable. For designs requiring an external antenna, you would need the Ai-WB2-12S module variant which features an IPEX (u.FL) connector. The PCB antenna provides adequate range for indoor applications up to approximately 50-100 meters in open space. To optimize range, ensure the board is placed away from metal obstructions and other 2.4GHz noise sources.

What development frameworks and example code are available?

Official resources include the BL602 IoT SDK (GitHub), which provides HAL drivers, Wi-Fi/BLE stack APIs, and example projects for sensors and network protocols. Community support exists for Arduino core adaptations and PlatformIO. Start by cloning the SDK, setting up the RISC-V toolchain, and building the "blinky" GPIO example. The AT firmware source is also available for custom command customization. Refer to AI-Thinker's documentation for pinout diagrams and hardware reference designs.

Package Includes

  • 1 x AI-Thinker Ai-WB2-12F Development Board

Additional Information

Weight 0.02 kg
Dimensions 7 × 5 × 3 cm