Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
CY8CKIT-007

CY8CKIT-007

Cypress Semiconductor

KIT DEV PSOC ANALOG VOLTMETER

0

CY4501

CY4501

Cypress Semiconductor

KIT DEV FOR INTERFACE CNTRLR

0

CY8CKIT-029

CY8CKIT-029

Cypress Semiconductor

KIT DEV PSOC3 LCD SEGMENT EXPAN

0

MB39C811-EVBSK-01

MB39C811-EVBSK-01

Cypress Semiconductor

EVAL KIT ENERGY HARVEST MB39C8XX

0

CY3280-24X94

CY3280-24X94

Cypress Semiconductor

BOARD DEV CAPSENSE CTLR

0

CY3276

CY3276

Cypress Semiconductor

DEV PROG POWERLINE HIGH EZCOLOR

0

MB39C811-EVB-02

MB39C811-EVB-02

Cypress Semiconductor

BOARD EVAL ENERGY HARVEST SOLAR

0

CY3273

CY3273

Cypress Semiconductor

KIT EVAL POWERLINE LOW VOLT

0

CY3220LINBUS-RD

CY3220LINBUS-RD

Cypress Semiconductor

KIT REF DESIGN LIN BUS

0

CYUSB3KIT-001

CYUSB3KIT-001

Cypress Semiconductor

KIT DEV EZ-USB FX3 USB3.0

0

CY3654

CY3654

Cypress Semiconductor

KIT USB DEVELOPMENT BOARD

0

CY3240-I2USB

CY3240-I2USB

Cypress Semiconductor

KIT EVAL PSOC I2C TO USB

0

SL11R-DK

SL11R-DK

Cypress Semiconductor

TOOL DEVELOPMENT FOR SL11

0

CY3654-P03

CY3654-P03

Cypress Semiconductor

KIT LOW SPEED PERSONALITY BOARD

0

CY3261A-RGB

CY3261A-RGB

Cypress Semiconductor

KIT DEMO PSOC RGB LIGHT

0

CY8CKIT-006

CY8CKIT-006

Cypress Semiconductor

KIT DEV PSOC3 LCD SEGMENT

0

MB2198-553

MB2198-553

Cypress Semiconductor

TOOL KIT

0

SK-MB9EF226-DISP-001

SK-MB9EF226-DISP-001

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB39A134EVB-01

MB39A134EVB-01

Cypress Semiconductor

EVAL BOARD

0

MB2198-510-E

MB2198-510-E

Cypress Semiconductor

TOOL 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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