Evaluation Boards - Embedded

Evaluation Boards - Embedded - MCU, DSP

Part Number	Description / PDF	Quantity
TMDXICE110 Texas Instruments	INDUSTRIAL COMM ENGINE AMIC110	4
TMDSPREX28335 Texas Instruments	TMS320F28335 EVAL BRD	8
TMDSEVM572X Texas Instruments	AM572X EVAL BRD	10
EKS-LM4F232 Texas Instruments	LM4F232 EVAL BRD	16
CAPTIVATE-FR2676 Texas Instruments	CAPACITIVE TOUCH	13
TMDSCNCD28054MISO Texas Instruments	CONTROLCARD TMS320F28054M EVAL	2
MSP-EXP430FG4618 Texas Instruments	EXPERIMENTER MSP430FG4618/F2013	16
EKK-LM4F232 Texas Instruments	LM4F232 EVAL BRD	6
MSP-EXP430FR5994 Texas Instruments	LAUNCHPAD MSP430FR5994 EVAL BRD	1311955
TMDSCSK388 Texas Instruments	DM388 EVAL BRD	2
LAUNCHXL2-TMS57012 Texas Instruments	LAUNCHPAD TMS570LS12X EVAL BRD	0
LAUNCHXL-TMS57004 Texas Instruments	LAUNCHPAD TMS570LS EVAL BRD	52
EKI-LM3S9B92 Texas Instruments	LM3S9B92 EVAL BRD	0
TMDX5502EZDSP Texas Instruments	EZDSP TMS320VC5502 EVAL BRD	5
BOOST5545ULP Texas Instruments	TMS320C5545 EVAL BRD	2
MSP-EXP432E401Y Texas Instruments	LAUNCHPAD MSP432E401Y EVAL BRD	148
TMDSEVM437X Texas Instruments	AM437X EVAL BRD	2
MSP-EXP430FR2355 Texas Instruments	LAUNCHPAD MSP430FR2355 EVAL BRD	191147
TMDSICE3359 Texas Instruments	INDUSTRIAL COMM ENGINE AM3359	11
LAUNCHXL-F28379D Texas Instruments	LAUNCHPAD TMS320F2837XD/2837XS	429

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

Type	Functional Features	Application Examples
MCU Evaluation Boards	ARM Cortex-M series, integrated peripherals (UART, SPI, I2C), low-power modes	Smart sensors, wearables, home automation
DSP Development Kits	High-speed floating-point processing, SIMD instructions, real-time signal analysis	Audio processing, radar systems, motor control
SoC Embedded Boards	Integrated CPU+GPU+FPGA, multimedia acceleration, OS support	Edge computing, robotics, automotive infotainment
FPGA-based Prototyping Boards	Reconfigurable logic, hardware-software co-design, high-speed I/O	5G 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

Parameter	Importance
Processor Architecture	Determines computational capabilities and software ecosystem compatibility
Maximum Clock Frequency	Impacts processing speed and real-time performance
Memory Bandwidth	Affects data throughput for signal processing applications
Peripheral Integration	Reduces external component requirements and system complexity
Power Consumption	Critical for battery-powered and thermal-constrained applications
Debugging Capabilities	Enables 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

Manufacturer	Product Series	Key Features
STMicroelectronics	STM32 Nucleo Series	ARM Cortex-M cores, Arduino compatibility, mbed OS support
Texas Instruments	TMDX Series	C2000 DSPs for power electronics, Code Composer Studio integration
NXP Semiconductors	i.MX RT Series	ARM Cortex-M7 based crossover processors, LCD interface support
Xilinx	Zynq UltraScale+ MPSoC	ARM 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