Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DS100BR210EVK/NOPB

DS100BR210EVK/NOPB

Texas Instruments

EVAL KIT FOR DS100BR210

1

SM72295EVM

SM72295EVM

Texas Instruments

EVAL MOD SM72295 BRIDGE GATE DVR

4

PCM2706EVM-U

PCM2706EVM-U

Texas Instruments

EVAL MODULE FOR PCM2706-USB

1

TSW14J50EVM

TSW14J50EVM

Texas Instruments

EVAL MODULE FOR TSW14J50

1

LMK04828BEVM

LMK04828BEVM

Texas Instruments

EVAL BOARD FOR LMK04828

5

DRV10963AEVM

DRV10963AEVM

Texas Instruments

EVAL BOARD FOR DRV10963

2

DS32EV100-EVK

DS32EV100-EVK

Texas Instruments

KIT EVALUATION FOR DS32EV100

3

TPS2592AAEVM-531

TPS2592AAEVM-531

Texas Instruments

EVAL MODULE FOR TPS2592

2

TPL1401EVM

TPL1401EVM

Texas Instruments

EVAL BOARD FOR TPL1401

7

LMK00804B-Q1EVM

LMK00804B-Q1EVM

Texas Instruments

CLOCKING IC

5

TPS4H160EVM

TPS4H160EVM

Texas Instruments

EVALUATION MODULE

3

TLV40X1EVM

TLV40X1EVM

Texas Instruments

VOLTAGE COMPARATOR

5

ISO35TEVM-434

ISO35TEVM-434

Texas Instruments

EVAL SMALL MODULE FOR ISO35T

2

TPL0401EVM

TPL0401EVM

Texas Instruments

EVAL MODULE FOR TPL0401

5

DRV8210EVM

DRV8210EVM

Texas Instruments

DRV8210 LOW VOLTAGE H-BRIDGE MOT

5

TLK10034EVM

TLK10034EVM

Texas Instruments

EVAL MODULE MB FOR TLK10034

1

ISO1176TEVM-433

ISO1176TEVM-433

Texas Instruments

EVAL SMALL MODULE FOR ISO1176T

2

TLV320AIC3104EVM-K

TLV320AIC3104EVM-K

Texas Instruments

BOARD EVAL FOR TLV320AIC3104

10

DRV8834EVM

DRV8834EVM

Texas Instruments

EVAL MODULE FOR DRV8834

21

HD3SS6126EVM

HD3SS6126EVM

Texas Instruments

EVAL MODULE HD3SS6126 MUX

13

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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