Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
TWR-K21F100M

TWR-K21F100M

NXP Semiconductors

TOWER SYSTEM K21 EVAL BRD

1

MIKROE-1189

MIKROE-1189

MikroElektronika

MIKROMEDIA DSPIC33/PIC18/24/32

0

MIKROE-3513

MIKROE-3513

MikroElektronika

FUSION FOR KINETIS V8

3

SPC560P-DISP

SPC560P-DISP

STMicroelectronics

DISCOVERY SPC560P EVAL BRD

4

MIKROE-460

MIKROE-460

MikroElektronika

BIGAVR6 EVAL BRD

0

LAUNCHXL2-RM46

LAUNCHXL2-RM46

Texas Instruments

LAUNCHPAD RM46X EVAL BRD

26

SPC563M64CAL176

SPC563M64CAL176

STMicroelectronics

SPC563M EVAL BRD

0

MEG-03

MEG-03

OSEPP Electronics

OSEPP MEGA 2560 R3 PLUS

377

EV-ADUCM320QSPZ

EV-ADUCM320QSPZ

Analog Devices, Inc.

QUICKSTART PLUS ADUCM320 EVAL BD

5

EA-OEM-510

EA-OEM-510

Embedded Artists

LPC4088 DEV EVAL BRD

0

TWR-K60F120M

TWR-K60F120M

NXP Semiconductors

TOWER SYSTEM K60 EVAL BRD

5

MIMXRT1170-EVK

MIMXRT1170-EVK

NXP Semiconductors

I.MX RT1170 EVAL KIT

12

Z8F16800128ZCOG

Z8F16800128ZCOG

Zilog / Littelfuse

Z8F642 EVAL BRD

3

HWD-MDM-00017

HWD-MDM-00017

Rhomb.io

DUINO ZERO - NON SECURE IC

1000

OM13085UL

OM13085UL

NXP Semiconductors

LPCXPRESSO LPC1769 EVAL BRD

353

KITXMC48RELAXECATV1TOBO1

KITXMC48RELAXECATV1TOBO1

IR (Infineon Technologies)

RELAX ETHERCAT KIT XMC4800 EVAL

96

CLOUD-JAM

CLOUD-JAM

RushUp

JAM STM32F401RE EVAL BRD

209

TMDSIACLEDCOMKIT

TMDSIACLEDCOMKIT

Texas Instruments

TMS320F28027 EVAL BRD

5

MIKROE-4312

MIKROE-4312

MikroElektronika

MIKROMEDIA 3 FOR STM32F2 CAP

3

RTK7EKA4W1S00000BJ

RTK7EKA4W1S00000BJ

Renesas Electronics America

EVALUATION KIT FOR RA4W1

38

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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