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UG LAND INDIA
Ai Thinker Ai-M62-12F-Kit
Ai Thinker Ai-M62-12F-Kit
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Specification:
| Category | Specification |
|---|---|
| Core SoC | Bouffalo Lab BL616 (32-bit RISC-V, up to 320 MHz, DSP, FPU) |
| Wireless Connectivity | Wi-Fi 6 (2.4GHz, 802.11 b/g/n/ax), Bluetooth 5.3 LE, Thread (IEEE 802.15.4) |
| Memory | ~480–532 KB SRAM, 4 MB onboard Flash, internal ROM and eFuse |
| Security | Secure Boot, AES/MD5/SHA/RSA/ECC acceleration, TRNG, TrustZone, OTFAD |
| Interfaces | UART, SPI, I²C, I²S, PWM, ADC, GPIO, SDIO |
| USB Support | USB Type-C for power and programming (USB 2.0 FS) |
| Pin Count | 30 pins (2×15 header rows, breadboard-compatible) |
| Onboard Components | RGB LED, 2x User LEDs, Reset Button, Boot (Flash) Button |
| Antenna | Onboard PCB antenna (U.FL option may be available) |
| Audio | Audio Codec support via I²S |
| Programming | Programmable via USB (CDC), supports flashing through BL Dev Cube & CLI tools |
| Power Supply | 5V via USB-C, onboard LDO to 3.3V |
| Operating Voltage | 3.3V logic level |
| Power Consumption | Ultra-low power sleep modes supported |
| SDK Support | Bouffalo Lab SDK (C, IoT stacks including Wi-Fi/BLE/Thread) |
| Dimensions | Approx. 49.7 mm × 25.4 mm |
| Temperature Range | -40°C to +85°C (Industrial-grade operating range) |
| Use Cases | Smart home, Matter/Thread development, BLE beacons, secure IoT nodes, RISC-V dev |
| Development Tools | BL Dev Cube, GCC toolchain, Visual Studio Code plugins, JTAG (via headers) |
Features:
🔧 Processing & Core
-
RISC-V 32-bit CPU, up to 320 MHz
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Integrated DSP and FPU for signal processing and computation
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Low power consumption with various sleep modes
📡 Wireless Connectivity
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Wi-Fi 6 (802.11 b/g/n/ax @ 2.4GHz) for fast, efficient networking
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Bluetooth 5.3 LE with advanced BLE features and low-power communication
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IEEE 802.15.4 (Thread) for mesh networking and Matter protocol support
🔐 Security
-
Secure boot
-
Hardware encryption engines: AES, SHA, MD5, RSA, ECC
-
True Random Number Generator (TRNG)
-
TrustZone-like memory protection
-
On-the-fly decryption (OTFAD) support
⚙️ Hardware Interfaces
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GPIO, UART, SPI, I²C, I²S, PWM, ADC, SDIO
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USB 2.0 (via USB-C connector) for programming and communication
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Onboard RGB LED + 2 user LEDs
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Reset and Flash buttons for easy control
📏 Design & Build
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Breadboard-friendly 2×15 pin header layout
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Compact size: approx. 49.7 mm × 25.4 mm
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USB-C interface for modern connectivity
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Integrated PCB antenna (optional U.FL connector for external antenna)
💾 Memory
-
~480–532 KB SRAM
-
4 MB onboard flash
-
ROM and eFuse for boot and secure storage
🔌 Power
-
5V input via USB-C
-
Onboard 3.3V regulator
-
Ultra-low-power modes supported
💡 Developer Support
-
Supported by Bouffalo Lab SDK
-
Works with BL Dev Cube and GCC toolchain
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Debugging via UART or JTAG (through headers)
-
Examples available for Wi-Fi, BLE, Thread, and Matter development
🧠 Application Areas
-
Smart home (Matter/Thread)
-
BLE-enabled IoT sensors and devices
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Wi-Fi 6-based automation systems
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Educational RISC-V development and learning
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Low-power wireless mesh networks
Description:
The Ai-Thinker Ai-M62-12F-Kit is a compact, cost-effective, and powerful development board designed for next-generation IoT applications. At its core is the Ai-M62-12F module, which integrates the Bouffalo Lab BL616 SoC — a high-performance 32-bit RISC-V processor with built-in support for Wi-Fi 6 (802.11 b/g/n/ax), Bluetooth 5.3 LE, and IEEE 802.15.4 (Thread), making it ideal for Matter-based smart home devices, BLE applications, and low-power wireless mesh networks.
This board is particularly appealing to developers and engineers seeking a feature-rich and security-capable platform that also supports the RISC-V architecture. With its USB-C interface, dual-row pin headers, built-in user LEDs, and robust peripheral options, the Ai-M62-12F-Kit offers a plug-and-play environment for rapid prototyping.
Shipping & Returns
Shipping & Returns
Return Policy According
• Order can be return within 10 days from date of delivery.
Generate (RMT) Return Merchant Ticket
• Note : Take photo and upload. Condition of product. Enter Correct Name, Mobile, Email, Order id / Invoice number (any one ) you can enter. Select Payment mode
Refund policy
Prepaid Customer
• Refund of the order will be initiated after receiving the product at the warehouse address
• You will receive a notification message or mail for confirmation, of receiving the product.
For any query, please Call/WhatsApp to our helpline number +91-9999115521/+91-9999115512


