Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TSW14J10EVM

TSW14J10EVM

Texas Instruments

EVAL BOARD FOR TSW14J10

0

SN6505AEVM

SN6505AEVM

Texas Instruments

EVAL BOARD FOR SN6505A DRIVER

6

LMK62E2-156M25EVM

LMK62E2-156M25EVM

Texas Instruments

LMK62E2-156M25EVM

2

TLV320AIC3101EVM-K

TLV320AIC3101EVM-K

Texas Instruments

TLV320AIC3101EVM-K

0

BQ24232HEVM-608

BQ24232HEVM-608

Texas Instruments

EVAL MODULE FOR BQ24232

4

SN65LVDS31-33EVM

SN65LVDS31-33EVM

Texas Instruments

EVAL MOD FOR SN65LVDS31/33

9

LM8330EVM

LM8330EVM

Texas Instruments

EVAL BOARD FOR LM8330

2

DS10BR150EVK/NOPB

DS10BR150EVK/NOPB

Texas Instruments

BOARD EVALUATION DS10BR150

1

TLV320AIC3256EVM-U

TLV320AIC3256EVM-U

Texas Instruments

KIT EVAL/DEMO FOR TLV320AIC3256

1

TPD2S300YFF-EVM

TPD2S300YFF-EVM

Texas Instruments

EVAL BOARD FOR TPD2S300

1

DRV8313EVM

DRV8313EVM

Texas Instruments

EVALUATION MODULE DRV8313

7

DRV8816EVM

DRV8816EVM

Texas Instruments

EVAL MODULE FOR DRV8816

1

LMK03000CEVAL/NOPB

LMK03000CEVAL/NOPB

Texas Instruments

BOARD EVALUATION LMK03000C

1

DRV8885EVM

DRV8885EVM

Texas Instruments

EVAL BOARD FOR DRV8885

6

ESD122DMY-EVM

ESD122DMY-EVM

Texas Instruments

EVAL BOARD FOR ESD122

1

TLV320AIC1106EVM-K

TLV320AIC1106EVM-K

Texas Instruments

KIT EVAL/DEMO FOR TLV320AIC1106

1

CDC7005-EVM

CDC7005-EVM

Texas Instruments

EVAL BOARD FOR CDC7005 SERIES

2

DS34RT5110-EVKC

DS34RT5110-EVKC

Texas Instruments

DEMO KIT CAT5 MULTI-HOP HDMI

2

ISO7721DEVM

ISO7721DEVM

Texas Instruments

ISO7721D EVALUATION MODULE

6

LMP90100EB/NOPB

LMP90100EB/NOPB

Texas Instruments

EVAL BOARD FOR LMP90100

1

Evaluation and Demonstration Boards and Kits

Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected healthcare, smart cities

Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates peripheral compatibility
Power Consumption (mW/MHz)Critical for battery-operated devices
Operating Temperature (-40 C to +85 C)Defines environmental durability

- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino MKR Series, Nano 33 IoT

Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support

- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)

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