Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
BM6205FS-EVK-001

BM6205FS-EVK-001

ROHM Semiconductor

EVAL BOARD FOR THE BM6205FS-E2

2

BM60212FV-EVK001

BM60212FV-EVK001

ROHM Semiconductor

BM60212FV-C EVALUATION BOARD

3

BM60213FV-EVK001

BM60213FV-EVK001

ROHM Semiconductor

BM60213FV-C EVALUATION BOARD

5

BM6207FS-EVK-001

BM6207FS-EVK-001

ROHM Semiconductor

EVAL BOARD FOR THE BM6207FS-E2

3

RB-S22530TB48

RB-S22530TB48

ROHM Semiconductor

REFERENCE BOARD FOR ML22530, ON

2

SDCK3

SDCK3

ROHM Semiconductor

DEVELOPMENT TOOL THAT SUPPORT DE

2

BM92A14MWV-EVK-001

BM92A14MWV-EVK-001

ROHM Semiconductor

USB PD EVAL BOARD FOR BM92A14MWV

0

BM6204FS-EVK-001

BM6204FS-EVK-001

ROHM Semiconductor

EVAL BOARD FOR THE BM6204FS-E2

4

BM61S40RFV-EVK001

BM61S40RFV-EVK001

ROHM Semiconductor

BM61S40RFV-C EVALUATION BOARD

8

RB-S22Q53XTB48

RB-S22Q53XTB48

ROHM Semiconductor

REFERENCE BOARD FOR ML22Q532 AND

2

BD99954MWV-EVK-101

BD99954MWV-EVK-101

ROHM Semiconductor

EVAL BOARD FOR BD99954

1

BM1Z002FJ-EVK-001

BM1Z002FJ-EVK-001

ROHM Semiconductor

BM1Z002FJ EVALUATION BOARDNON-IS

5

BM92A21MWV-EVK-001

BM92A21MWV-EVK-001

ROHM Semiconductor

EVAL BOARD FOR BM92A21

0

BM61M41RFV-EVK002

BM61M41RFV-EVK002

ROHM Semiconductor

BM61M41RFV-C EVALUATION BOARD

4

BM61S41RFV-EVK002

BM61S41RFV-EVK002

ROHM Semiconductor

BM61S41RFV-C EVALUATION BOARD

6

BD6212FP-EVAL-N

BD6212FP-EVAL-N

ROHM Semiconductor

BOARD EVAL FOR BD6212FP

0

BU94603_EVK

BU94603_EVK

ROHM Semiconductor

BOARD EVAL FOR BU94603

0

BD6232FP-EVAL-N

BD6232FP-EVAL-N

ROHM Semiconductor

BOARD EVAL FOR BD6232FP

0

BD6222FP-EVAL-N

BD6222FP-EVAL-N

ROHM Semiconductor

BOARD EVAL FOR BD6222FP

0

ROHM-760308MP-EVK-001

ROHM-760308MP-EVK-001

ROHM Semiconductor

WIRELESS CHARGING DESIGN KIT

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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