Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
OSD32MP1-RED

OSD32MP1-RED

Octavo Systems

EVAL BOARD FOR OSD32MP15X SIP DE

0

MIKROE-4041

MIKROE-4041

MikroElektronika

MCU CARD 7 FOR PIC PIC18F86J55

3

STM32L4R9I-EVAL

STM32L4R9I-EVAL

STMicroelectronics

STM32L4R9 EVAL BRD

17

MAX32625-EVKIT#

MAX32625-EVKIT#

Maxim Integrated

MAX32625 EVAL BRD

123

XK-EVK-XE216

XK-EVK-XE216

XMOS

XE216 EVAL BRD

19

DEV-14483

DEV-14483

SparkFun

AT90CAN128 EVAL BRD

86

IW-G15D-Q704-3D001G-E008G-LCD

IW-G15D-Q704-3D001G-E008G-LCD

iWave Systems

I.MX 6QUAD QSEVEN DEV KIT

2

TMDSVDP6437

TMDSVDP6437

Texas Instruments

DIGITAL VID TMS320DM64X EVAL BRD

1

TMDXEXP1808L

TMDXEXP1808L

Texas Instruments

ZOOM AM180X EVAL BRD

4

ATSAM4C-EK

ATSAM4C-EK

Roving Networks / Microchip Technology

SAM4C16C EVAL BRD

8

EVAL-ADUC7020MKZ

EVAL-ADUC7020MKZ

Analog Devices, Inc.

MINIKIT ADUC7020 EVAL BRD

3

DM240004

DM240004

Roving Networks / Microchip Technology

PIC24F CURIOSITY EVAL BRD

17

SPC58XXADPT292S

SPC58XXADPT292S

STMicroelectronics

SPC58XE/G EVAL BRD

4

4514

4514

Adafruit

SERPENTE CIRCUITPYTHON USBC PLUG

40

LPC55S69-EVK

LPC55S69-EVK

NXP Semiconductors

LPCXPRESSO LPC55S6X EVAL BRD

99

DFR0392

DFR0392

DFRobot

DFRDUINO M0 NUC123 EVAL BRD

20

C8051F500-TB-K

C8051F500-TB-K

Silicon Labs

C8051F50X EVAL BRD

0

FRDM-KEAZ128Q80

FRDM-KEAZ128Q80

NXP Semiconductors

FREEDOM KEA EVAL BRD

0

TMDSRM48USB

TMDSRM48USB

Texas Instruments

HERCULES RM48 EVAL BRD

3

FRDM-KEAZN32Q64

FRDM-KEAZN32Q64

NXP Semiconductors

FREEDOM KEA 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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