Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
STEVAL-IHM002V1

STEVAL-IHM002V1

STMicroelectronics

BOARD INDART BLDC/AC MOTOR CONTR

0

STV-676/502S-R01

STV-676/502S-R01

STMicroelectronics

KIT REF DESIGN WEB CAM W/676&502

0

EVALST7538-2

EVALST7538-2

STMicroelectronics

BOARD EVAL FOR ST7538 TQFP44 PKG

0

EVL6563-ZRC200W

EVL6563-ZRC200W

STMicroelectronics

EVAL BOARD L6563 (200W)

0

EVAL6470

EVAL6470

STMicroelectronics

BOARD EVAL FOR L6470

0

EVLKST8500GH868

EVLKST8500GH868

STMicroelectronics

ST8500 HYBRID PLC&RF CONNECTIVIT

0

STEVAL-CBP001V2

STEVAL-CBP001V2

STMicroelectronics

BOARD EVAL BASED ON STFPC311

0

STEVAL-CCM002V1

STEVAL-CCM002V1

STMicroelectronics

BOARD DEMO STM32 GRAPHIC PANEL

0

DK900-HC11-110

DK900-HC11-110

STMicroelectronics

KIT DEV PSD FOR 68HC11 110V

0

DK4000-C167-110

DK4000-C167-110

STMicroelectronics

KIT DEV MCU FOR PSD4000/C167

0

EVALKITST75MM-1

EVALKITST75MM-1

STMicroelectronics

EVALUATION KIT

0

EVAL6562-250W

EVAL6562-250W

STMicroelectronics

EVAL BOARD FOR L6562-250 SERIES

0

STEVAL-ISV002V2

STEVAL-ISV002V2

STMicroelectronics

BOARD DEMO PV CONVERSION SYSTEM

0

STEVAL-MKI129V7

STEVAL-MKI129V7

STMicroelectronics

MICROPHONE COUPON BOARD BASED

0

STEVAL-IPP001V2

STEVAL-IPP001V2

STMicroelectronics

BOARD EVAL ENERY METER STM32F10

0

STR9-COMSTICK

STR9-COMSTICK

STMicroelectronics

KIT EVAL/DEV STR91XF

0

STEVAL-IPE006V2

STEVAL-IPE006V2

STMicroelectronics

EVAL BOARD HI END ENERGY METER

0

STEVAL-ISV002V1

STEVAL-ISV002V1

STMicroelectronics

BOARD EVALUATION

0

STEVAL-ILL004V1

STEVAL-ILL004V1

STMicroelectronics

EVAL BOARD PHASE CONTROL DIMMER

0

STEVAL-IKM001V1

STEVAL-IKM001V1

STMicroelectronics

KIT EVAL DSPIN BASED ON THE L647

0

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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