Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
CYUSBS232-BO

CYUSBS232-BO

Cypress Semiconductor

DEVELOPMENT KIT

0

MB2197-111

MB2197-111

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

S6SAP901A01VA0020

S6SAP901A01VA0020

Cypress Semiconductor

EVAL TOOL KIT ANALOG

0

MB2198-141-E

MB2198-141-E

Cypress Semiconductor

TOOL KIT

0

MB919EF120-001EVBSK-E

MB919EF120-001EVBSK-E

Cypress Semiconductor

TOOL KIT

0

MB2198-81-E

MB2198-81-E

Cypress Semiconductor

TOOL KIT

0

MB2147-584-E

MB2147-584-E

Cypress Semiconductor

TOOL KIT

0

CYTK55

CYTK55

Cypress Semiconductor

DEVOPMENT KIT

0

MB2198-605SK

MB2198-605SK

Cypress Semiconductor

TOOL KIT

0

WSC8010-ESE1

WSC8010-ESE1

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB88155EB01-102

MB88155EB01-102

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2198-664

MB2198-664

Cypress Semiconductor

TOOL KIT

0

FSDC-FM3-112-1-0026-01

FSDC-FM3-112-1-0026-01

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

CY3290-TMA1036

CY3290-TMA1036

Cypress Semiconductor

TRUETOUCH EVALUATION KIT

0

FSSDC-LQFP100-0.5MM-EVBV1.1

FSSDC-LQFP100-0.5MM-EVBV1.1

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2198-124-E

MB2198-124-E

Cypress Semiconductor

TOOL KIT

0

CYP15G0401DX-EVAL

CYP15G0401DX-EVAL

Cypress Semiconductor

IC TXRX HOTLINK 256-BGA

0

CY3685

CY3685

Cypress Semiconductor

KIT DEV EZ-USB NX2LP

0

MB2198-770-E-SPN

MB2198-770-E-SPN

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2132-466

MB2132-466

Cypress Semiconductor

MB2132-466

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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