Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
B158-H8548-X-0-7600

B158-H8548-X-0-7600

IR (Infineon Technologies)

XC866 EVAL BRD

1

YR0K5010RLS000BE

YR0K5010RLS000BE

Renesas Electronics America

RL78/L12 EVAL BRD

4

110991188

110991188

Seeed

SIPEED M1W DOCK SUIT EVAL BRD

51

MPC574XG-256DS

MPC574XG-256DS

NXP Semiconductors

MPC574XC/G EVAL BRD

7

ATSAMV71-XULT

ATSAMV71-XULT

Roving Networks / Microchip Technology

SAM V71 XPLAINED ULTRA EVAL BRD

24

AC103011

AC103011

Roving Networks / Microchip Technology

PIC10F322 EVAL BRD

15

MIKROE-2646

MIKROE-2646

MikroElektronika

MIKROLAB FOR PIC24EP EVAL BD

0

DM320008

DM320008

Roving Networks / Microchip Technology

PIC32MZ GRAPHICS EVAL BRD

15

DEV-12651

DEV-12651

SparkFun

DIGITAL SANDBOX ATMEGA328 EVAL

0

MIKROE-1104

MIKROE-1104

MikroElektronika

EASYMX PRO V7 STM32F207 EVAL BRD

2

102010268

102010268

Seeed

SEEEDUINO NANO

0

MIKROE-3873

MIKROE-3873

MikroElektronika

MCU CARD 4 FOR KINETIS MK51DN512

3

MIKROE-4573

MIKROE-4573

MikroElektronika

MCU CARD STM32 STM32F405ZG

0

C8051F996-TB-K

C8051F996-TB-K

Silicon Labs

C8051F98/C8051F99 EVAL BRD

3

MAX31782EVKIT#

MAX31782EVKIT#

Maxim Integrated

MAX31782 EVAL BRD

2

C8051T610DK

C8051T610DK

Silicon Labs

C8051T61X EVAL BRD

0

FRDM-K22F

FRDM-K22F

NXP Semiconductors

FREEDOM K22 DEV EVAL BRD

81

DM320007-C

DM320007-C

Roving Networks / Microchip Technology

PIC32 STARTER KIT W/ FPU PIC32MZ

88

IMX233-OLINUXINO-MAXI

IMX233-OLINUXINO-MAXI

Olimex

OLINUXINO I.MX233 EVAL BRD

0

MCUNIVERSITYKIT

MCUNIVERSITYKIT

Silicon Labs

C8051F020 EVAL BRD

26

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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