Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
STEVAL-IHM003V1

STEVAL-IHM003V1

STMicroelectronics

EVAL KIT 300W POWER DRIVER BOARD

0

EVALSTGAP1S

EVALSTGAP1S

STMicroelectronics

DEMO BOARD FOR STGAP1S GAPDRIVE

0

STEVAL-IFN004V1

STEVAL-IFN004V1

STMicroelectronics

BOARD DEMO BLDC L6230/STM8S105

0

EVALST7540-2

EVALST7540-2

STMicroelectronics

BOARD EVAL ST7540 PWR LINE TXRX

0

STEVAL-IAS001V1

STEVAL-IAS001V1

STMicroelectronics

BOARD EVAL ST7FLITE39/STM1403

0

STEVAL-IFP008V1

STEVAL-IFP008V1

STMicroelectronics

BOARD EVAL FOR CLT3-4

0

STEVAL-PCC012V1

STEVAL-PCC012V1

STMicroelectronics

BOARD DEM CONN GATEWAY STM32F107

0

STEVAL-MKI155V1

STEVAL-MKI155V1

STMicroelectronics

DAUGHTERBOARD MIC COUP MP45DT02M

0

STEVAL-MKI138V3

STEVAL-MKI138V3

STMicroelectronics

EVAL BOARD MEMS MIC MP45DT02

0

STEVAL-ISB013V1

STEVAL-ISB013V1

STMicroelectronics

BOARD EVAL BATT MONITOR STC3105

0

STEVAL-TCS004V1

STEVAL-TCS004V1

STMicroelectronics

BOARD EVAL STMPE1601 PORT EXP

0

STEVAL-ISW001V1

STEVAL-ISW001V1

STMicroelectronics

BOARD EVALUATION

0

STEVAL-IHM004V1

STEVAL-IHM004V1

STMicroelectronics

EVAL KIT 1KW POWER DRIVER BOARD

0

STEVAL-CBP006V1

STEVAL-CBP006V1

STMicroelectronics

BOARD DEMO UNIPWR STM8S MCU

0

DK900-110

DK900-110

STMicroelectronics

KIT DEVELOPMENT DK900

0

EVALKITST7570-1

EVALKITST7570-1

STMicroelectronics

KIT EVAL FOR ST7570 S-FSK

0

EVAL6206PD

EVAL6206PD

STMicroelectronics

EVAL BOARD FOR L6206 SERIES

0

EVALPM8803-FLY

EVALPM8803-FLY

STMicroelectronics

KIT DEMO IEEE802.3AT PM8803

0

EVAL6235N

EVAL6235N

STMicroelectronics

BOARD MOTOR BRUSHLESS DC L6235

0

STEVAL-IPE003V1

STEVAL-IPE003V1

STMicroelectronics

EVAL BOARD ENERGY METER MONO

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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