| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
NXP Semiconductors |
KIT EVAL QUAD HIGH SIDE SWITCH |
0 |
|
|
NXP Semiconductors |
EVALUATION KIT - MC20XS4200 DUA |
0 |
|
|
NXP Semiconductors |
BOARD EVAL FOR MC33810 |
0 |
|
|
NXP Semiconductors |
FRDM EXPANSION BOARD PF8101 |
10 |
|
|
NXP Semiconductors |
REF DESIGN PSI5 AIRBAG SPC560X |
0 |
|
|
NXP Semiconductors |
TEA1733T 65W 19.5V NOTEBOOK ADAP |
0 |
|
|
NXP Semiconductors |
KIT EVAL BOARD 10CH LED BACKLGHT |
0 |
|
|
NXP Semiconductors |
KIT EVAL USB-SPI W/MC68HC908JW32 |
0 |
|
|
NXP Semiconductors |
EVAL BOARD VR5510 PMIC |
0 |
|
|
NXP Semiconductors |
NX5P2190 LOAD SWITCH BOARD |
0 |
|
|
NXP Semiconductors |
TEA1738 DEMOBOARD 01 |
0 |
|
|
NXP Semiconductors |
EVALUATION KIT - MC33816 SD6 PR |
0 |
|
|
NXP Semiconductors |
FREEDOM EVAL BOARD MPC17531 |
0 |
|
|
NXP Semiconductors |
EVALUATION KIT - FS4503CA SYSTE |
0 |
|
|
NXP Semiconductors |
EVALUATION KIT - MC34978 SWITCH |
0 |
|
|
NXP Semiconductors |
FREEDOM EXPANSION KIT FS4503 SY |
0 |
|
|
NXP Semiconductors |
DEMOBOARD FOR THE SPI RTC PCF850 |
0 |
|
|
NXP Semiconductors |
FREEDOM EVAL BOARD MPC17511 |
0 |
|
|
NXP Semiconductors |
FREEDOM EXPANSION BOARD MC17XSF |
0 |
|
|
NXP Semiconductors |
FREEDOM EVAL BOARD MPC17511 |
0 |
|
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)