Evaluation and Demonstration Boards and Kits

Part Number	Description / PDF	Quantity
BM61S41RFV-EVK001 ROHM Semiconductor	BM61S41RFV-C EVALUATION BOARD	8
BM92A12MWV-EVK-001 ROHM Semiconductor	USB PD EVAL BOARD FOR BM92A12MWV	0
BM6206FS-EVK-001 ROHM Semiconductor	EVAL BOARD FOR THE BM6206FS-E2	3
BM92A15MWV-EVK-001 ROHM Semiconductor	USB PD EVAL BOARD FOR BM92A15MWV	0
RB-S22Q66XTB32 ROHM Semiconductor	REFERENCE BOARD FOR ML22Q663, ML	2
BM6209FS-EVK-001 ROHM Semiconductor	EVAL BOARD FOR THE BM6209FS-E2	3
BM1Z002FJ-EVK-002 ROHM Semiconductor	BM1Z002FJ EVALUATION BOARDISOLAT	9
BD14000EFV-EVK-001 ROHM Semiconductor	BOARD EVAL FOR BD14000EFV	1
RB-S22Q62XTB32 ROHM Semiconductor	REFERENCE BOARD FOR ML22Q623, ML	2
P02SCT3040KR-EVK-001 ROHM Semiconductor	SIC MOSFET EVALUATION BOARD. TO	6
BM92A13MWV-EVK-001 ROHM Semiconductor	USB PD EVAL BOARD FOR BM92A13MWV	0
BM6208FS-EVK-001 ROHM Semiconductor	EVAL BOARD FOR THE BM6208FS-E2	1
RB-S22660TB32 ROHM Semiconductor	REFERENCE BOARD FOR ML22660, ON	2
BM61S40RFV-EVK002 ROHM Semiconductor	BM61S40RFV-C EVALUATION BOARD	8
BM1Z102FJ-EVK-001 ROHM Semiconductor	BM1Z102FJ EVALUATION BOARD	14
BM61M41RFV-EVK001 ROHM Semiconductor	BM61M41RFV-C EVALUATION BOARD	15
BM92A56MWV-EVK-001 ROHM Semiconductor	USB PD EVAL BOARD FOR BM92A56MWV	2
BM2P26CK-EVK-001 ROHM Semiconductor	ISOLATED FLYBACK TYPE PWM MODE B	2
BD7692FJ-EVK-001 ROHM Semiconductor	POWER FACTOR CORRECTION BOUNDARY	5
RB-S22620TB32 ROHM Semiconductor	REFERENCE BOARD FOR ML22620, ON	2

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.

Type	Functional Features	Application Examples
Microcontroller Development Boards	Embedded CPUs, GPIOs, integrated peripherals	IoT devices, robotics
FPGA Evaluation Boards	Reconfigurable logic, high-speed interfaces	Communication systems, AI accelerators
Sensor Expansion Kits	Multi-sensor integration (temperature, motion, etc.)	Smart agriculture, environmental monitoring
Wireless Communication Modules	Bluetooth/Wi-Fi/LoRa protocols, antenna interfaces	Connected 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.

Parameter	Description
Processor Performance (MHz/GHz)	Determines computational capability
Memory Capacity (RAM/Flash)	Affects program complexity and data storage
Interface Types	Dictates 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

Manufacturer	Representative Products
STMicroelectronics	STM32 Nucleo Series, SensorTile Kit
Intel	Intel Edison, Movidius Neural Compute Stick
Xilinx	Zynq UltraScale+ MPSoC Evaluation Kit
Arduino	Arduino 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)