Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
DEMO9S08QG8E

DEMO9S08QG8E

NXP Semiconductors

MC9S08QG8 EVAL BRD

10

ATTINY817-XMINI

ATTINY817-XMINI

Roving Networks / Microchip Technology

XPLAINED MINI ATTINY817 EVAL BRD

37

DFR0222

DFR0222

DFRobot

XBOARD RELAY ATMEGA32U4/W5100

24

A000067

A000067

Genuino (Arduino)

ARDUINO MEGA2560 ATMEGA2560

6966

MCIMX6ULL-EVK

MCIMX6ULL-EVK

NXP Semiconductors

I.MX 6ULL EVAL BRD

34

C8051F800DK

C8051F800DK

Silicon Labs

C8051F8XX EVAL BRD

0

RTK7EKA2A1S00001BU

RTK7EKA2A1S00001BU

Renesas Electronics America

EVALUATION KIT FOR RA2A1 (EK-RA2

94

MIKROE-1683

MIKROE-1683

MikroElektronika

CLICKER PIC32MX EVAL BRD

4

TWR-S12GN32-KIT

TWR-S12GN32-KIT

NXP Semiconductors

TOWER SYSTEM MC9S12G EVAL BRD

2

SPC58EC-DISP

SPC58EC-DISP

STMicroelectronics

DISCOVERY SPC58EC80E EVAL BRD

13

80-000967

80-000967

Critical Link

MAKER TRANSITION KIT AM335X

0

C8051F580DK

C8051F580DK

Silicon Labs

C8051F58X/C8051F59X EVAL BRD

6

ATSTK500

ATSTK500

Roving Networks / Microchip Technology

AT90S8515 EVAL BRD

6

DEVKIT-S12VR64

DEVKIT-S12VR64

NXP Semiconductors

S12VR64 EVAL BRD

37

TWR-MCF51JF-KIT

TWR-MCF51JF-KIT

NXP Semiconductors

TOWER SYSTEM MCF51JF EVAL BRD

12

MIKROE-1841

MIKROE-1841

MikroElektronika

MIKROMEDIA STM32F407 EVAL BRD

0

LS1043ARDB-PD

LS1043ARDB-PD

NXP Semiconductors

LS1043A EVAL BRD

10

SLSTK2000A

SLSTK2000A

Silicon Labs

UNIVERSAL BEE STARTR KIT EFM8UB1

24

TMDSCNCD28054MISO

TMDSCNCD28054MISO

Texas Instruments

CONTROLCARD TMS320F28054M EVAL

2

OM40005UL

OM40005UL

NXP Semiconductors

LPCXPRESSO LPC51U68 EVAL BRD

11

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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