Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
STEVAL-IPE012V3

STEVAL-IPE012V3

STMicroelectronics

BOARD DEMO 1PH ENERGY MTR STPM01

0

STEVAL-ILD005V1

STEVAL-ILD005V1

STMicroelectronics

BOARD ROTARY WALL DIM STF17N62K3

0

EVAL-L9942

EVAL-L9942

STMicroelectronics

EVALUATION BOARD FOR L9942XP MIC

0

EVLSRK1000B-TO

EVLSRK1000B-TO

STMicroelectronics

SRK1000B ADAPTIVE SYNCHRONOUS RE

5

STEVAL-IPMNM3Q

STEVAL-IPMNM3Q

STMicroelectronics

300 W MOTOR CONTROL POWER BOARD

5

EVLSRK1000-TO

EVLSRK1000-TO

STMicroelectronics

SRK1000 ADAPTIVE SYNCHRONOUS REC

5

EVAL-D-L99DZ120

EVAL-D-L99DZ120

STMicroelectronics

EVALUATION KIT

0

EVLKSTCOMET10-1

EVLKSTCOMET10-1

STMicroelectronics

EVALUATION KIT

0

EVAL-L9958

EVAL-L9958

STMicroelectronics

EVALUATION BOARD FOR HIGH CURREN

0

EVAL-L99MOD54XP

EVAL-L99MOD54XP

STMicroelectronics

EVALUATION KIT FOR THE L99MOD54X

5

EVAL-L99SM81

EVAL-L99SM81

STMicroelectronics

EVALUATION BOARD L99SM81

0

STEVAL-IPM20B

STEVAL-IPM20B

STMicroelectronics

MOTOR CONTROL SOLUTION EVAL BOAR

2

STEVAL-IPM30B

STEVAL-IPM30B

STMicroelectronics

MOTOR CONTROL SOLUTION EVAL BOAR

5

EVAL-D-L99DZ100G

EVAL-D-L99DZ100G

STMicroelectronics

EVALUATION KIT

0

STEVAL-ILL075V1

STEVAL-ILL075V1

STMicroelectronics

EVAL BOARD FOR STLUX385A

0

STEVAL-ISA102V1

STEVAL-ISA102V1

STMicroelectronics

BOARD EVAL 80W PFC L6562A

0

STEVAL-IPE017V1

STEVAL-IPE017V1

STMicroelectronics

BOARD EVAL FOR STPM10

0

EVAL6229QR

EVAL6229QR

STMicroelectronics

BOARD DEMO L6229Q BLDC MOT CTRL

0

STEVAL-IHM021V2

STEVAL-IHM021V2

STMicroelectronics

BOARD EVAL L6390/STD5N52U

0

STEVAL-ILD003V1

STEVAL-ILD003V1

STMicroelectronics

BOARD EVAL FOR TS820

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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