Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TPS23523EVM-863

TPS23523EVM-863

Texas Instruments

TPS23523EVM-863

2

DRV8302-HC-C2-KIT

DRV8302-HC-C2-KIT

Texas Instruments

KIT EVAL MOTOR CTRL FOR DRV8302

2

DP83630-EVK/NOPB

DP83630-EVK/NOPB

Texas Instruments

BOARD EVAL FOR DP83630

12

DRV8838EVM

DRV8838EVM

Texas Instruments

EVAL MOD FOR LV DC MOTOR DRIVER

10

BQ24038EVM

BQ24038EVM

Texas Instruments

EVAL MODULE FOR BQ24038

1

BQ24072EVM

BQ24072EVM

Texas Instruments

EVAL MODULE FOR BQ24072

2

BQ76942EVM

BQ76942EVM

Texas Instruments

EVAL BOARD FOR BQ76942

13

TUSB319EVM

TUSB319EVM

Texas Instruments

EVAIL MOD

1

DS125BR111EVM

DS125BR111EVM

Texas Instruments

EVAL BOARD FOR DS125BR111

1

DS15BR400EVK/NOPB

DS15BR400EVK/NOPB

Texas Instruments

BOARD EVALUATION DS15BR400

3

TPS2493EVM-002

TPS2493EVM-002

Texas Instruments

EVAL MODULE FOR TPS2493-002

1

SN74AVC2T244EVM

SN74AVC2T244EVM

Texas Instruments

EVAL MODULE FOR SN74AVC2T244

10

LMK03200EVAL/NOPB

LMK03200EVAL/NOPB

Texas Instruments

BOARD EVAL FOR LMK03200

2

DRV8306EVM

DRV8306EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

586

TPD2E2U06-Q1EVM

TPD2E2U06-Q1EVM

Texas Instruments

EVALUATION MODULE TPD2E2U06-Q1

4

SN65DSI85EVM

SN65DSI85EVM

Texas Instruments

EVALUATION MODULE

0

TSW3100EVM

TSW3100EVM

Texas Instruments

MODULE PATTERN GENERATOR BOARD

2

BQ24170EVM-610-15V

BQ24170EVM-610-15V

Texas Instruments

EVAL MODULE FOR BQ24170-610-15V

3

BQ77905EVM-707

BQ77905EVM-707

Texas Instruments

EVAL BOARD FOR BQ77905

1

DP83849IVS-EVK/NOPB

DP83849IVS-EVK/NOPB

Texas Instruments

EVAL BOARD PHYTER IND TEMP

4

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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