Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
DC-EM-02T-GN

DC-EM-02T-GN

Digi

DIGI CONNECT EM C MOD EVAL BRD

0

CC-9C-LX

CC-9C-LX

Digi

JUMPSTART NS9360 EVAL BRD

0

101-1275

101-1275

Digi

DELUXE RCM5700 EVAL BRD

0

DC-EM-02T-GN-NR

DC-EM-02T-GN-NR

Digi

DIGI CONNECT EM C MOD EVAL BRD

0

CC-9C-GN

CC-9C-GN

Digi

KIT DEV NS9360 NET+OS

0

101-0533

101-0533

Digi

RCM3100 EVAL BRD

0

101-1177

101-1177

Digi

20-668-0024 EVAL BRD

0

FS-998

FS-998

Digi

KIT DEV NS7520 NET+OS

0

FS-9021

FS-9021

Digi

CONNECTCORE 7U MODULE EVAL BRD

0

101-1270

101-1270

Digi

BL4S200 EVAL BRD

0

101-0587

101-0587

Digi

RCM3400 EVAL BRD

0

DC-ME-01T-KT

DC-ME-01T-KT

Digi

NS7520 EVAL BRD

0

DC-ME-01T-GN-NR

DC-ME-01T-GN-NR

Digi

NS7520 EVAL BRD

0

101-0523

101-0523

Digi

RCM3000 EVAL BRD

0

DC-EM-NET

DC-EM-NET

Digi

JUMPSTART NS7520 EVAL BRD

0

101-0480

101-0480

Digi

RCM2300 EVAL BRD

0

101-1226

101-1226

Digi

RCM4300 EVAL BRD

0

101-0530

101-0530

Digi

FOX LP3500/LP3510 EVAL BRD

0

CC-9M-NA47-Z1

CC-9M-NA47-Z1

Digi

S3C2443 EVAL BRD

0

DC-ME-01T-GN

DC-ME-01T-GN

Digi

NS7520 EVAL BRD

0

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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