Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
STM32L152-SK/IAR

STM32L152-SK/IAR

STMicroelectronics

IAR KICKSTART STM32L EVAL BRD

1

PIS-0837

PIS-0837

Pi Supply

ASUS TINKER BOARD S RK3288

35

FRDM-K64F

FRDM-K64F

NXP Semiconductors

FREEDOM K24/K63/K64 EVAL BRD

651

MIKROE-3835

MIKROE-3835

MikroElektronika

MIKROMEDIA 7 CAPACITIVE FPI

3

703932-0001

703932-0001

APPBOX C21 W/ APPIO NOVOS MODULE

3

MIKROE-1770

MIKROE-1770

MikroElektronika

EASYFT90X V7 EVAL BRD

0

HWD-MDM-00032

HWD-MDM-00032

Rhomb.io

DUINO ZERO - SECURE IC

96

EVAL-ADUC842QS

EVAL-ADUC842QS

Analog Devices, Inc.

QUICKSTART ADUC842 EVAL BRD

47

STM32F769I-DISCO

STM32F769I-DISCO

STMicroelectronics

DISCOVERY STM32F769 EVAL BRD

0

YSSKS7G2E30

YSSKS7G2E30

Renesas Electronics America

SYNERGY S7G2 EVAL BRD

53

OM11029,598

OM11029,598

NXP Semiconductors

LPC3152 EVAL BRD

10

MIKROE-2058

MIKROE-2058

MikroElektronika

MIKROLAB FOR PIC BASIC EVAL BRD

0

STM32F3348-DISCO

STM32F3348-DISCO

STMicroelectronics

DISCOVERY STM32F3348 EVAL BRD

71

MPC574XG-324DS

MPC574XG-324DS

NXP Semiconductors

MPC574XC/G EVAL BRD

1

DM240013-2

DM240013-2

Roving Networks / Microchip Technology

PIC24F K-SERIES 5V MICROSTICK

17

TMDSCNCD28069MISO

TMDSCNCD28069MISO

Texas Instruments

CONTROLCARD TMS320F28069M EVAL

9

ML610Q178 REFERENCE BOARD

ML610Q178 REFERENCE BOARD

ROHM Semiconductor

ML610Q178 EVAL BRD

4

102110014

102110014

Seeed

ARCH MAX STM32F407 EVAL BRD

0

EVAL-ADUC7124QSPZ

EVAL-ADUC7124QSPZ

Analog Devices, Inc.

QUICKSTART PLUS ADUC7124 EVAL BD

1

RSD51M200BRK

RSD51M200BRK

Rendeer Systems

RSD51M200 ATSAMD51P20 BREAKOUT

1

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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