Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
DM164140

DM164140

Roving Networks / Microchip Technology

MPLAB XPRESS PIC16F18855 EVAL BD

35

DM320103

DM320103

Roving Networks / Microchip Technology

PIC32MX470 CURIOSITY EVAL BRD

28

ATSAMD21E16LMOTOR

ATSAMD21E16LMOTOR

Roving Networks / Microchip Technology

ATSAMD21E16L EVAL BRD

11

DM182027

DM182027

Roving Networks / Microchip Technology

MPLAB XPRESS PIC18F47K40 EVAL BD

3

DM320105

DM320105

Roving Networks / Microchip Technology

PIC32MX XLP STARTER KIT EVAL BRD

2

DM240001-2

DM240001-2

Roving Networks / Microchip Technology

EXPLORER 16/32 DSPIC/PIC24/PIC32

17

DM320204

DM320204

Roving Networks / Microchip Technology

SAM L10 XPLAIND PRO ATSAML10E16A

25

DM330013-2

DM330013-2

Roving Networks / Microchip Technology

MICROSTICK II DSPIC33/24FJ/H/32

93

DM320210

DM320210

Roving Networks / Microchip Technology

SAME54 CURIOSITY ULTRA EVALUATIO

46

DT100126

DT100126

Roving Networks / Microchip Technology

SAM9X60 EVAULATION KIT

7

DM240012

DM240012

Roving Networks / Microchip Technology

PIC24E USB STARTER KIT P512GU810

3

DM240016

DM240016

Roving Networks / Microchip Technology

PIC24FJ256GA7 CURIOSITY EVAL BRD

40

AT91SAM9G20-EK

AT91SAM9G20-EK

Roving Networks / Microchip Technology

AT91SAM9G20 EVAL BRD

0

DM320001

DM320001

Roving Networks / Microchip Technology

PIC32 STARTER KIT PIC32 EVAL BRD

14

EV09Z19A

EV09Z19A

Roving Networks / Microchip Technology

PIC16F15244 CURIOSITY NANO EVALU

27

ATSAMA5D3-XPLD

ATSAMA5D3-XPLD

Roving Networks / Microchip Technology

BRD XPLAINED SAMA5D36 EVAL BRD

5

DM182030

DM182030

Roving Networks / Microchip Technology

PIC18F57Q84-CNANO

0

DM300019

DM300019

Roving Networks / Microchip Technology

DSPICDEM 80PIN 30F/33F/24H/24FJ

2

DM330030

DM330030

Roving Networks / Microchip Technology

DSPIC33CK CURIOSITY DEVELOPMENT

6

ATSAMD10-XMINI

ATSAMD10-XMINI

Roving Networks / Microchip Technology

SAM D10 XPLAINED MINI ATSAMD10

42

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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