Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
NUCLEO-H723ZG

NUCLEO-H723ZG

STMicroelectronics

STM32 NUCLEO-144 DEVELOPMENT BOA

674

TOOLSTICK850-B-SK

TOOLSTICK850-B-SK

Silicon Labs

TOOLSTICK C8051F85X/C8051F86X

1

EVAL-ADUC7060QSPZ

EVAL-ADUC7060QSPZ

Analog Devices, Inc.

QUICKSTART PLUS ADUC7060 EVAL BD

0

KIT_AURIX_TC275_LITE

KIT_AURIX_TC275_LITE

IR (Infineon Technologies)

AURIX TC275 LITE KIT

86

102991335

102991335

Seeed

SIPEED M1N MODULE AI DEVELOPMENT

15

DM240013-1

DM240013-1

Roving Networks / Microchip Technology

PIC24F K-SER 3V MICROSTICK EVAL

4

OM13003,598

OM13003,598

NXP Semiconductors

IAR KICKSTART LPC11C14 EVAL BRD

3

MYD-CZU3EG-4E4D-1200-C

MYD-CZU3EG-4E4D-1200-C

MYIR Tech Limited

DEVELOPMENT BOARDS & KITS - ARM

5

40000

40000

Parallax, Inc.

P8X32A EVAL BRD

100

DFR0221

DFR0221

DFRobot

DFROBOT LEONARDO W/ XBEE R3

1

SPC58XXADPT64S

SPC58XXADPT64S

STMicroelectronics

SPC58XB/C EVAL BRD

1

OM11036,598

OM11036,598

NXP Semiconductors

LPC1758 EVAL BRD

3

DM320104

DM320104

Roving Networks / Microchip Technology

PIC32MZ EF CURIOSITY MRF24WN0MA

112

DFR0444

DFR0444

DFRobot

LATTEPANDA 2GB/32GB NOWIN10 KEY

29

DFR0162

DFR0162

DFRobot

XBOARD ATMEGA328 EVAL BRD

0

MIKROE-1207

MIKROE-1207

MikroElektronika

EASYPIC FUSION V7 DSPIC33EP

2

EVAL-ADUC841QSPZ

EVAL-ADUC841QSPZ

Analog Devices, Inc.

QUICKSTART PLUS ADUC841 EVAL BRD

1

QB-R5F100LE-TB

QB-R5F100LE-TB

Renesas Electronics America

RL78/G13 EVAL BRD

23

CY8CKIT-041-40XX

CY8CKIT-041-40XX

Cypress Semiconductor

PSOC 4 S PIONEER KIT 4000S

524

TWR-P1025-KIT

TWR-P1025-KIT

NXP Semiconductors

TOWER SYSTEM P1025 EVAL BRD

3

Evaluation Boards - Embedded - MCU, DSP

1. Overview

Evaluation Boards (Dev Boards) for Embedded MCUs (Microcontroller Units) and DSPs (Digital Signal Processors) are specialized hardware platforms designed to facilitate the development, testing, and prototyping of embedded systems. These boards provide a physical environment to validate processor capabilities, peripheral integration, and software algorithms before final product deployment. They play a critical role in accelerating development cycles for applications ranging from IoT devices to industrial automation systems.

2. Major Types and Functional Classification

TypeFunctional FeaturesApplication Examples
MCU Evaluation BoardsARM Cortex-M series, integrated peripherals (UART, SPI, I2C), low-power modesSmart sensors, wearables, home automation
DSP Development KitsHigh-speed floating-point processing, SIMD instructions, real-time signal analysisAudio processing, radar systems, motor control
SoC Embedded BoardsIntegrated CPU+GPU+FPGA, multimedia acceleration, OS supportEdge computing, robotics, automotive infotainment
FPGA-based Prototyping BoardsReconfigurable logic, hardware-software co-design, high-speed I/O5G communication, AI inference accelerators

3. Structure and Components

Typical evaluation boards consist of:

  • PCB base with processor/microcontroller soldered onboard
  • Memory modules (SRAM, Flash, DDR)
  • Debugging interfaces (JTAG, SWD, UART)
  • Power management unit (voltage regulators, PMICs)
  • Peripheral connectors (GPIO, ADC/DAC, Ethernet)
  • Expansion headers for add-on modules (shields, PMODs)
  • Onboard sensors/actuators (depending on application focus)

4. Key Technical Specifications

ParameterImportance
Processor ArchitectureDetermines computational capabilities and software ecosystem compatibility
Maximum Clock FrequencyImpacts processing speed and real-time performance
Memory BandwidthAffects data throughput for signal processing applications
Peripheral IntegrationReduces external component requirements and system complexity
Power ConsumptionCritical for battery-powered and thermal-constrained applications
Debugging CapabilitiesEnables efficient firmware development and hardware verification

5. Application Fields

Key industries utilizing evaluation boards:

  • Industrial Automation: PLCs, motor drives, predictive maintenance systems
  • Consumer Electronics: Smart home devices, AR/VR headsets
  • Automotive: ADAS prototyping, ECU development
  • Medical: Portable diagnostic equipment, wearable health monitors
  • Communications: 5G baseband processing, software-defined radios
  • Energy: Smart grid controllers, solar inverters

6. Leading Manufacturers and Representative Products

ManufacturerProduct SeriesKey Features
STMicroelectronicsSTM32 Nucleo SeriesARM Cortex-M cores, Arduino compatibility, mbed OS support
Texas InstrumentsTMDX SeriesC2000 DSPs for power electronics, Code Composer Studio integration
NXP Semiconductorsi.MX RT SeriesARM Cortex-M7 based crossover processors, LCD interface support
XilinxZynq UltraScale+ MPSoCARM Cortex-A53 + FPGA fabric, AI acceleration with DPU

7. Selection Guidelines

Key considerations when choosing evaluation boards:

  • Match processor architecture to target application requirements (e.g., ARM for general-purpose, DSP for signal processing)
  • Verify peripheral compatibility with system design (number of timers, communication interfaces)
  • Assess expansion capabilities for future upgrades
  • Evaluate software toolchain maturity (IDE, compilers, RTOS support)
  • Consider power consumption specifications for end-application scenarios
  • Check available community resources and technical documentation

8. Industry Trend Analysis

Emerging trends shaping evaluation board development:

  • Increased integration of AI acceleration cores (e.g., Google Edge TPU integration)
  • Rise of RISC-V based evaluation platforms for customizable computing
  • Enhanced security features (trusted execution environments, hardware encryption)
  • Development of low-power wide-area network (LPWAN) enabled boards for IoT
  • Adoption of heterogeneous computing architectures (CPU+GPU+DSP+FPGA)
  • Cloud-connected evaluation platforms for remote testing and collaboration
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