Evaluation and Demonstration Boards and Kits

Image	Part Number	Description / PDF	Quantity	Rfq
	NBSG111BAEVB Sanyo Semiconductor/ON Semiconductor	BOARD EVALUATION BBG NBSG111BA	0
	STK551U392AGEVB Sanyo Semiconductor/ON Semiconductor	EVAL KIT 3 PHASE HYBRID INVERTER	0
	STK682-010GEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD STK682-010G	0
	NCP437FCT2GEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD NCP437FCT2G	0
	LC89091JAGEVK Sanyo Semiconductor/ON Semiconductor	KIT EVAL FOR LC89091JA	0
	NCV74715V2GEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD NCV74715V2G	0
	NBSG16VSBAEVB Sanyo Semiconductor/ON Semiconductor	BOARD EVAL BBG NBSG16VSBA	0
	NCP345EVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD FOR NCP345	0
	LV8806QAGEVK Sanyo Semiconductor/ON Semiconductor	EVAL KIT LV8806QAG	0
	NCN8024RDWGEVB Sanyo Semiconductor/ON Semiconductor	BOARD EVAL FOR NCN8024RDW	0
	STK5Q4U362JGEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD STK5Q4U362JG	0
	LV5693PGEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD LV5693PG	0
	NCP1602BOOSTGEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD NCP1602BOOSTG	0
	NB7L14MMNEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD FOR NB7L14MMN	0
	BR262PM002GEVB Sanyo Semiconductor/ON Semiconductor	BOARD EVAL FOR BR262PM002	0
	LC75843UGAGEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD LC75843UGAG	0
	LV8044LPGEVB Sanyo Semiconductor/ON Semiconductor	BOARD EVAL FOR LV8044LP	0
	NBSG86ABAEVB Sanyo Semiconductor/ON Semiconductor	BOARD EVAL BBG NBSG86ABA	0
	NBSG53ABAEVB Sanyo Semiconductor/ON Semiconductor	BOARD EVAL BBG NBSG53ABA	0
	STK673-010GEVB Sanyo Semiconductor/ON Semiconductor	EVAL BOARD STK673-010G	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.

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)