Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
ZSPM4551KITV1P0

ZSPM4551KITV1P0

Renesas Electronics America

ZSPM4551KIT EVALUATION KIT V1.0

0

Y-BLDC-SK-RL78F14

Y-BLDC-SK-RL78F14

Renesas Electronics America

BOARD EVALUATION FOR RL78F14

0

ZSSC5101KITV1P1

ZSSC5101KITV1P1

Renesas Electronics America

ZSSC5101KIT V1.1

0

8EBV89316

8EBV89316

Renesas Electronics America

BOARD

2

ZSPM4012KITV4P0

ZSPM4012KITV4P0

Renesas Electronics America

ZSPM4012KIT EVALUATION KIT V4.0

0

ZSC31150MCSV1P1

ZSC31150MCSV1P1

Renesas Electronics America

ZSC31150 MASS CALIBRATION SYSTEM

0

ZSSC3154MAFBDV2P11

ZSSC3154MAFBDV2P11

Renesas Electronics America

ZSSC3154 MAF SENSOR BOARD V2.11

0

ZSC31010MCREFBV1P0

ZSC31010MCREFBV1P0

Renesas Electronics America

ZSC31010 MASS CALIBR. REF. BOARD

0

8A34001-EVK

8A34001-EVK

Renesas Electronics America

BOARD

0

EVK-NS0412

EVK-NS0412

Renesas Electronics America

BOARD

0

XF-EVK

XF-EVK

Renesas Electronics America

BOARD

0

ZSSC3154MCSV1P1

ZSSC3154MCSV1P1

Renesas Electronics America

ZSSC3154 MASS CALIBRATION SYSTEM

0

ZSPM8000KITV1P0

ZSPM8000KITV1P0

Renesas Electronics America

ZSPM8000KIT EVALUATION KIT V1.0

0

RTK0EMX270S01020BJ

RTK0EMX270S01020BJ

Renesas Electronics America

RSK: STEPPING MOTOR W/ RESOLVER(

14

ZSSC313XMCREFBV1P0

ZSSC313XMCREFBV1P0

Renesas Electronics America

ZSSC313X MASS CALIBR. REF. BOARD

0

ZSSC415XEVKV1P5

ZSSC415XEVKV1P5

Renesas Electronics America

ZSSC415X EVALUATION KIT V1.5

0

EVK9FGV1008

EVK9FGV1008

Renesas Electronics America

EVALUATION KIT

4

5V49EE903-EVB

5V49EE903-EVB

Renesas Electronics America

BOARD

0

ZSSC312223KITV1P0

ZSSC312223KITV1P0

Renesas Electronics America

ZSSC3122_3123KIT EVALUATION KIT

0

5V19EE901-EVB

5V19EE901-EVB

Renesas Electronics America

BOARD

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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