The Milk-V Duo 256M is an ultra-compact embedded development platform based on the SG2002 chip. It can run Linux and RTOS, providing a reliable, low-cost, and high-performance platform for professionals, industrial ODMs, AIoT enthusiasts, DIY hobbyists, and creators.
This board is an upgraded version of Duo with a memory boost to 256M, catering to applications demanding larger memory capacities. The SG2002 elevates computational power to 1.0 TOPS @ INT8. It enables seamless switching between RISC-V/ARM architectures and supports simultaneous operation of dual systems. Additionally, it includes an array of rich GPIO interfaces such as SPI, UART, suitable for a wide range of hardware development in edge intelligent monitoring, including IP cameras, smart peephole locks, visual doorbells, and more.
SG2002 is a high-performance, low-power chip designed for various product fields such as edge intelligent surveillance IP cameras, smart door locks, visual doorbells, and home intelligence. It integrates H.264 video compression and decoding, H.265 video compression encoding, and ISP capabilities. It supports multiple image enhancement and correction algorithms such as HDR wide dynamic range, 3D noise reduction, defogging, and lens distortion correction, providing customers with professional-grade video image quality.
The chip also incorporates a self-developed TPU, delivering 1.0 TOPS of computing power under 8-bit integer operations. The specially designed TPU scheduling engine efficiently provides high-bandwidth data flow for all tensor processing unit cores. Additionally, it offers users a powerful deep learning model compiler and software SDK development kit. Leading deep learning frameworks like Caffe and Tensorflow can be easily ported to its platform. Furthermore, it includes security boot, secure updates, and encryption, providing a series of security solutions from development, mass production, to product applications.
The chip integrates an 8-bit MCU subsystem, replacing the typical external MCU to achieve cost-saving and power efficiency goals.
Specifications
SoC
SG2002
RISC-V CPU
C906 @ 1 Ghz + C906 @ 700 MHz
Arm CPU
1x Cortex-A53 @ 1 GHz
MCU
8051 @ 6 KB SRAM
Memory
256 MB SIP DRAM
TPU
1.0 TOPS @ INT8
Storage
1x microSD connector or 1x SD NAND on board
USB
1x USB-C for power and data, USB Pads available
CSI
1x 16P FPC connector (MIPI CSI 2-lane)
Sensor Support
5 M @ 30 fps
Ethernet
100 Mbps Ethernet with PHY
Audio
Via GPIO Pads
GPIO
Up to 26x GPIO Pads
Power
5 V/1 A
OS Support
Linux, RTOS
Dimensions
21 x 51 mm
Downloads
Documentation
GitHub
The LuckFox Pico Ultra is a compact single-board computer (SBC) powered by the Rockchip RV1106G3 chipset, designed for AI processing, multimedia, and low-power embedded applications.
It comes equipped with a built-in 1 TOPS NPU, making it ideal for edge AI workloads. With 256 MB RAM, 8 GB onboard eMMC storage, integrated WiFi, and support for the LuckFox PoE module, the board delivers both performance and versatility across a wide range of use cases.
Running Linux, the LuckFox Pico Ultra supports a variety of interfaces – including MIPI CSI, RGB LCD, GPIO, UART, SPI, I²C, and USB – providing a simple and efficient development platform for applications in smart home, industrial control, and IoT.
Specifications
Chip
Rockchip RV1106G3
Processor
Cortex-A7 1.2 GHz
Neural Network Processor (NPU)
1 TOPS, supports int4, int8, int16
Image Processor (ISP)
Max input 5M @30fps
Memory
256 MB DDR3L
WiFi + Bluetooth
2.4GHz WiFi-6 Bluetooth 5.2/BLE
Camera Interface
MIPI CSI 2-lane
DPI Interface
RGB666
PoE Interface
IEEE 802.3af PoE
Speaker interface
MX1.25 mm
USB
USB 2.0 Host/Device
GPIO
30 GPIO pins
Ethernet
10/100M Ethernet controller and embedded PHY
Default Storage Medium
eMMC (8 GB)
Included
1x LuckFox Pico Ultra W
1x LuckFox PoE module
1x IPX 2.4G 2 db antenna
1x USB-A to USB-C cable
1x Screws pack
Downloads
Wiki
With the availability of free and open source C/C++ compilers today, you might wonder why someone would be interested in assembler language. What is so compelling about the RISC-V Instruction Set Architecture (ISA)? How does RISC-V differ from existing architectures? And most importantly, how do we gain experience with the RISC-V without a major investment? Is there affordable hardware available?
The availability of the Espressif ESP32-C3 chip provides a way to get hands-on experience with RISC-V. The open sourced QEMU emulator adds a 64-bit experience in RISC-V under Linux. These are just two ways for the student and enthusiast alike to explore RISC-V in this book.
The projects in this book are boiled down to the barest essentials to keep the assembly language concepts clear and simple. In this manner you will have “aha!” moments rather than puzzling about something difficult. The focus in this book is about learning how to write RISC-V assembly language code without getting bogged down. As you work your way through this tutorial, you’ll build up small demonstration programs to be run and tested. Often the result is some simple printed messages to prove a concept. Once you’ve mastered these basic concepts, you will be well equipped to apply assembly language in larger projects.
The ATmega328 Uno Development Board (Arduino Uno compatible) is a microcontroller board based on the ATmega328.
It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analogue inputs, a 16 MHz ceramic resonator, a USB connection, a power jack, an ICSP header and a reset button.
It contains everything needed to support the microcontroller; connect it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to get started.
Specifications
Microcontroller
ATmega328
Operating voltage
5 V DC
Input voltage (recommended)
7-12 V DC
Input voltage (limits)
6-20 V DC
Digital I/O pins
14 (of which 6 provide PWM output)
Analogue input pins
6
SRAM
2 kB (ATmega328)
EEPROM
1 kB (ATmega328)
Flash memory
32 kB (ATmega328) of which 0.5 kB used by bootloader
Clock speed
16 MHz
Downloads
Manual
The FRDM-MCXN947 is a compact and versatile development board designed for rapid prototyping with MCX N94 and N54 microcontrollers. It features industry-standard headers for easy access to the MCU's I/Os, integrated open-standard serial interfaces, external flash memory, and an onboard MCU-Link debugger.
Specifications
Microcontroller
MCX-N947 Dual Arm Cortex-M33 cores @ 150 MHz each with optimized performance efficiency, up to 2 MB dual-bank flash with optional full ECC RAM, External flash
Accelerators: Neural Processing Unit, PowerQuad, Smart DMA, etc.
Memory Expansion
*DNP Micro SD card socket
Connectivity
Ethernet Phy and connector
HS USB-C connectors
SPI/I²C/UART connector (PMOD/mikroBUS, DNP)
WiFi connector (PMOD/mikroBUS, DNP)
CAN-FD transceiver
Debug
On-board MCU-Link debugger with CMSIS-DAP
JTAG/SWD connector
Sensor
P3T1755 I³C/I²C Temp Sensor, Touch Pad
Expansion Options
Arduino Header (with FRDM expansion rows)
FRDM Header
FlexIO/LCD Header
SmartDMA/Camera Header
Pmod *DNP
mikroBUS
User Interface
RGB user LED, plus Reset, ISP, Wakeup buttons
Included
1x FRDM-MCXN947 Development Board
1x USB-C Cable
1x Quick Start Guide
Downloads
Datasheet
Block diagram
Build your own AI microcontroller applications from scratch
The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications.
This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board:
Onboard LEDs and buttons
External LEDs and buttons
Using analog-to-digital converters
I²C projects
SPI projects
UART projects
External interrupts and timer interrupts
Using the onboard microphone
Using the onboard camera
Convolutional Neural Network
This bundle contains:
Book: Get Started with the NXP FRDM-MCXN947 Development Board (normal price: €40)
NXP FRDM-MCXN947 Development Board (normal price: €30)
Book: Get Started with the NXP FRDM-MCXN947 Development Board
Develop projects on connectivity, graphics, machine learning, motor control, and sensors
This book is about the use of the FRDM-MCXN947 Development Board, developed by NXP Semiconductors. It integrates the dual Arm Cortex-M33, operating at up to 150 MHz. Ideal for Industrial, IoT, and machine learning applications. It features Hi-Speed USB, CAN 2.0, I³C and 10/100 Ethernet. The board includes an on-board MCU-Link debugger, FlexI/O for LCD control, and dual-bank flash for read-while-write operations, supporting large external serial memory configurations.
One of the important features of the development board is that it features an integrated eIQ Neutron Neural Processing Unit (NPU), thus enabling users to develop AI-based projects. The development board also supports Arduino Uno form factor header pins, making it compatible with many Arduino shields, mikroBUS connector for MikroElektronika Click Boards, and Pmod connector.
One of the nice things of the FRDM-MCXN947 development board is that it includes several on-board debug probes, allowing programmers to debug their programs by communicating directly with the MCU. With the help of the debugger, programmers can single-step through a program, insert breakpoints, view and modify variables and so on.
Many working and tested projects have been developed in the book using the popular MCUXpresso IDE and the SDK with various sensors and actuators. Use of the popular CMSIS-DSP library is also explained with several commonly used matrix operations.
The projects provided in the book can be used without any modifications in many applications. Alternatively, readers can base their projects on those given in the book during the development of their own projects.
NXP FRDM-MCXN947 Development Board
The FRDM-MCXN947 is a compact and versatile development board designed for rapid prototyping with MCX N94 and N54 microcontrollers. It features industry-standard headers for easy access to the MCU's I/Os, integrated open-standard serial interfaces, external flash memory, and an onboard MCU-Link debugger.
Specifications
Microcontroller
MCX-N947 Dual Arm Cortex-M33 cores @ 150 MHz each with optimized performance efficiency, up to 2 MB dual-bank flash with optional full ECC RAM, External flash
Accelerators: Neural Processing Unit, PowerQuad, Smart DMA, etc.
Memory Expansion
*DNP Micro SD card socket
Connectivity
Ethernet Phy and connector
HS USB-C connectors
SPI/I²C/UART connector (PMOD/mikroBUS, DNP)
WiFi connector (PMOD/mikroBUS, DNP)
CAN-FD transceiver
Debug
On-board MCU-Link debugger with CMSIS-DAP
JTAG/SWD connector
Sensor
P3T1755 I³C/I²C Temp Sensor, Touch Pad
Expansion Options
Arduino Header (with FRDM expansion rows)
FRDM Header
FlexIO/LCD Header
SmartDMA/Camera Header
Pmod *DNP
mikroBUS
User Interface
RGB user LED, plus Reset, ISP, Wakeup buttons
Included
1x FRDM-MCXN947 Development Board
1x USB-C Cable
1x Quick Start Guide
Downloads
Datasheet
Block diagram
The OKdo E1 is an ultra-low-cost Development Board based on the NXP LPC55S69JBD100 dual-core Arm Cortex-M33 microcontroller. The E1 board is perfect for Industrial IoT, building control and automation, consumer electronics, general embedded and secure applications.
Features
Processor with Arm TrustZone, Floating Point Unit (FPU) and Memory Protection Unit (MPU)
CASPER Crypto co-processor to enable hardware acceleration for certain asymmetric cryptographic algorithms
PowerQuad Hardware Accelerator for fixed and floating point DSP functions
SRAM Physical Unclonable Function (PUF) for key generation, storage and reconstruction
PRINCE module for real-time encryption and decryption of flash data
AES-256 and SHA2 engines
Up to Nine Flexcomm interfaces. Each Flexcomm interface can be selected by software to be a USART, SPI, I²C, and I²S interface
USB 2.0 High-Speed Host/Device controller with on-chip PHY
USB 2.0 Full-Speed Host/Device controller with on-chip PHY
Up to 64 GPIOs
Secure digital input/output (SD/MMC and SDIO) card interface
Specifications
LPC55S69JBD100 640kbyte flash microcontroller
In-built CMSIS-DAP v1.0.7 debugger based on LPC11U35
Internal PLL support up to 100MHz operation, 16MHz can be mounted for full 150MHz operation.
SRAM 320kB
32kHz crystal for real-time clock
4 user switches
3-colour LED
User USB connector
2-off 16-way expansion connectors
UART over USB virtual COM port
The EC200U-EU C4-P01 development board features the EC200U-EU LTE Cat 1 wireless communication module, offering a maximum data rate of up to 10 Mbps for downlink and 5 Mbps for uplink. It supports multi-mode and multi-band communication, making it a cost-effective solution.
The board is designed in a compact and unified form factor, compatible with the Quectel multi-mode LTE Standard EC20-CE. It includes an onboard USB-C port, allowing for easy development with just a USB-C cable.
Additionally, the board is equipped with a 40-pin GPIO header that is compatible with most Raspberry Pi HATs.
Features
Equipped with EC200U-EU LTE Cat 1 wireless communication module, multi-mode & multi-band support
Onboard 40-Pin GPIO header, compatible with most Raspberry Pi HATs
5 LEDs for indicating module operating status
Supports TCP, UDP, PPP, NITZ, PING, FILE, MQTT, NTP, HTTP, HTTPS, SSL, FTP, FTPS, CMUX, MMS protocols, etc.
Supports GNSS positioning (GPS, GLONASS, BDS, Galileo, QZSS)
Onboard Nano SIM card slot and eSIM card slot, dual card single standby
Onboard MIPI connector for connecting MIPI screen and is fully compatible with Raspberry Pi peripherals
Onboard camera connector, supports customized SPI cameras with a maximum of 300,000 pixels
Provides tools such as QPYcom, Thonny IDE plugin, and VSCode plugin, etc. for easy learning and development
Comes with online development resources and manual (example in QuecPython)
Specifications
Applicable Regions
Europe, Middle East, Africa, Australia, New Zealand, Brazil
LTE-FDD
B1, B3, B5, B7, B8, B20, B28
LTE-TDD
B38, B40, B41
GSM / GPRS / EDGE
GSM: B2, B3, B5, B8
GNSS
GPS, GLONASS, BDS, Galileo, QZSS
Bluetooth
Bluetooth 4.2 (BR/EDR)
Wi-Fi Scan
2.4 GHz 11b (Rx)
CAT 1
LTE-FDD: DL 10 Mbps; UL 5 Mbps
LTE-TDD: DL 8.96 Mbps; UL 3.1 Mbps
GSM / GPRS / EDGE
GSM: DL 85.6 Kbps; UL 85.6 Kbps
USB-C Port
Supports AT commands testing, GNSS positioning, firmware upgrading, etc.
Communication Protocol
TCP, UDP, PPP, NITZ, PING, FILE, MQTT, NTP, HTTP, HTTPS, SSL, FTP, FTPS, CMUX, MMS
SIM Card
Nano SIM and eSIM, dual card single standby
Indicator
P01: Module Pin 1, default as EC200A-XX PWM0
P05: Module Pin 5, NET_MODE indicator
SCK1: SIM1 detection indicator, lights up when SIM1 card is inserted
SCK2: SIM2 detection indicator, lights up when SIM2 card is inserted
PWR: Power indicator
Buttons
PWK: Power ON/OFF
RST: Reset
BOOT: Forcing into firmware burning mode
USB ON/OFF: USB power consumption detection switch
Antenna Connectors
LTE main antenna + DIV / WiFi (scanning only) / Bluetooth antenna + GNSS antenna
Operating Temperature
−30~+75°C
Storage Temperature
−45~+90°C
Downloads
Wiki
Quectel Resources
The CubeCell series is designed primarily for LoRa/LoRaWAN node applications.
Built on the ASR605x platform (ASR6501, ASR6502), these chips integrate the PSoC 4000 series MCU (ARM Cortex-M0+ Core) with the SX1262 module. The CubeCell series offers seamless Arduino compatibility, stable LoRaWAN protocol operation, and straightforward connectivity with lithium batteries and solar panels.
The HTCC-AB02S is a developer-friendly board with an integrated AIR530Z GPS module, ideal for quickly testing and validating communication solutions.
Features
Arduino compatible
Based on ASR605x (ASR6501, ASR6502), those chips are already integrated the PSoC 4000 series MCU (ARM Cortex M0+ Core) and SX1262
LoRaWAN 1.0.2 support
Ultra low power design, 21 uA in deep sleep
Onboard SH1.25-2 battery interface, integrated lithium battery management system (charge and discharge management, overcharge protection, battery power detection, USB/battery power automatic switching)
Good impendence matching and long communication distance
Onboard solar energy management system, can directly connect with a 5.5~7 V solar panel
Micro USB interface with complete ESD protection, short circuit protection, RF shielding, and other protection measures
Integrated CP2102 USB to serial port chip, convenient for program downloading, debugging information printing
Onboard 0.96-inch 128x64 dot matrix OLED display, which can be used to display debugging information, battery power, and other information
Using Air530 GPS module with GPS/Beidou Dual-mode position system support
Specifications
Main Chip
ASR6502 (48 MHz ARM Cortex-M0+ MCU)
LoRa Chipset
SX1262
Frequency
863~870 MHz
Max. TX Power
22 ±1 dBm
Max. Receiving Sensitivity
−135 dBm
Hardware Resource
2x UART1x SPI2x I²C1x SWD3x 12-bit ADC input8-channel DMA engine16x GPIO
Memory
128 Kb FLASH16 Kb SRAM
Power consumption
Deep sleep 21 uA
Interfaces
1x Micro USB1x LoRa Antenna (IPEX)2x (15x 2.54 Pin header) + 3x (2x 2.54 Pin header)
Battery
3.7 V lithium battery (power supply and charging)
Solar Energy
VS pin can be connected to 5.5~7 V solar panel
USB to Serial Chip
CP2102
Display
0.96" OLED (128 x 64)
Operating temperature
−20~70°C
Dimensions
55.9 x 27.9 x 9.5 mm
Included
1x CubeCell HTCC-AB02S Development Board
1x Antenna
1x 2x SH1.25 battery connector
Downloads
Datasheet
Schematic
GPS module (Manual)
Quick start
GitHub
Build your own AI microcontroller applications from scratch
The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications.
This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board:
Onboard LEDs and buttons
External LEDs and buttons
Using analog-to-digital converters
I²C projects
SPI projects
UART projects
External interrupts and timer interrupts
Using the onboard microphone
Using the onboard camera
Convolutional Neural Network
The SparkFun RP2040 mikroBUS Development Board is a low-cost, high performance platform with flexible digital interfaces featuring the Raspberry Pi Foundation's RP2040 microcontroller. Besides the Thing Plus or Feather PTH pin layout, the board also includes a microSD card slot, 16 MB (128 Mbit) flash memory, a JST single cell battery connector (with a charging circuit and fuel gauge sensor), an addressable WS2812 RGB LED, JTAG PTH pins, four (4-40 screw) mounting holes, our signature Qwiic connectors, and a mikroBUS socket. The mikroBUS standard was developed by MikroElektronika. Similar to Qwiic and MicroMod interfaces, the mikroBUS socket provides a standardized connection for add-on Click boards to be attached to a development board and is comprised of a pair of 8-pin female headers with a standardized pin configuration. The pins consist of three groups of communications pins (SPI, UART and I²C), six additional pins (PWM, Interrupt, Analog input, Reset and Chip select), and two power groups (3.3 V and 5 V). The RP2040 is supported with both C/C++ and MicroPython cross-platform development environments, including easy access to runtime debugging. It has UF2 boot and floating-point routines baked into the chip. While the chip has a large amount of internal RAM, the board includes an additional 16 MB of external QSPI flash memory to store program code. The RP2040 contains two ARM Cortex-M0+ processors (up to 133 MHz) and features: 264 kB of embedded SRAM in six banks 6 dedicated IO for SPI Flash (supporting XIP) 30 multifunction GPIO: Dedicated hardware for commonly used peripherals Programmable IO for extended peripheral support Four 12-bit ADC channels with internal temperature sensor (up to 0.5 MSa/s) USB 1.1 Host/Device functionality Features (SparkFun RP2040 mikroBUS Dev. Board) Raspberry Pi Foundation's RP2040 microcontroller 18 Multifunctional GPIO Pins Four available 12-bit ADC channels with internal temperature sensor (500kSa/s) Up to eight 2-channel PWM Up to two UARTs Up to two I²C buses Up to two SPI buses Thing Plus (or Feather) Pin Layout: 28 PTH Pins USB-C Connector: USB 1.1 Host/Device functionality 2-pin JST Connector for a LiPo Battery (not included): 500mA charging circuit 4-pin JST Qwiic Connector LEDs:
PWR - Red 3.3V power indicator
CHG - Yellow battery charging indicator
25 - Blue status/test LED (GPIO 25)
WS2812 - Addressable RGB LED (GPIO 08) Buttons: Boot Reset JTAG PTH Pins 16MB QSPI Flash Memory µSD Card Slot mikroBUS Socket Dimensions: 3.7' x 1.2' Four Mounting Holes: 4-40 screw compatible Downloads Schematic Eagle Files Board Dimensions Hookup Guide Qwiic Info Page GitHub Hardware Repository
