Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
OM13089UL

OM13089UL

NXP Semiconductors

LPCXPRESSO LPC54114 EVAL BRD

20

MIMXRT1010-EVK

MIMXRT1010-EVK

NXP Semiconductors

I.MXRT1010 EVAL KIT

143

OM13093UL

OM13093UL

NXP Semiconductors

LPCXPRESSO LPC11C24 EVAL BRD

24

RDK-S32R274

RDK-S32R274

NXP Semiconductors

S32R274 EVAL BRD

5

TWR-56F8400

TWR-56F8400

NXP Semiconductors

TOWER SYSTEM MC56F84789 EVAL BRD

2

LS1024A-RDB

LS1024A-RDB

NXP Semiconductors

LS1024A EVAL BRD

2

MCIMX23LEVKJC

MCIMX23LEVKJC

NXP Semiconductors

I.MX23 EVAL BRD

4

TRK-KEA8

TRK-KEA8

NXP Semiconductors

STARTERTRAK KEA8 EVAL BRD

1

OM13078UL

OM13078UL

NXP Semiconductors

LPCXPRESSO LPC54102 EVAL BRD

9

OM11039

OM11039

NXP Semiconductors

LPC1343 EVAL BRD

2

MPC5777C-416DS

MPC5777C-416DS

NXP Semiconductors

MPC5777C EVAL BRD

2

MCIMX8QXP-CPU

MCIMX8QXP-CPU

NXP Semiconductors

I.MX 8 EVAL BRD

18

TWR-MCF51QM

TWR-MCF51QM

NXP Semiconductors

TOWER SYSTEM MCF51QM EVAL BRD

19

OM13069UL

OM13069UL

NXP Semiconductors

SMARTPHONE QUICK-JACK SOL LPC812

8

S32K144EVB-Q100

S32K144EVB-Q100

NXP Semiconductors

S32K144 EVAL BRD

224

MCIMX51EVKJ

MCIMX51EVKJ

NXP Semiconductors

I.MX51 EVAL BRD

3

OM13081UL

OM13081UL

NXP Semiconductors

LPC824 EVAL BRD

3

TWR-S12G240-KIT

TWR-S12G240-KIT

NXP Semiconductors

TOWER SYSTEM MC9S12G EVAL BRD

1

MCIMX8M-EVKB

MCIMX8M-EVKB

NXP Semiconductors

EVAL BOARD I.MX 8M

29

MPC5746R-176DS

MPC5746R-176DS

NXP Semiconductors

MPC5746R EVAL BRD

6

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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