| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
NXP Semiconductors |
DEMO RASPBERRY PI MODEL |
0 |
|
|
NXP Semiconductors |
KIT EVAL MC44C401 MTS ENCODER |
0 |
|
|
NXP Semiconductors |
KIT MB+DBTDA19988+TDA19978 |
0 |
|
|
NXP Semiconductors |
KIT EVAL 33887 5A H-BRIDGE SOIC |
0 |
|
|
NXP Semiconductors |
DEVELOPMENT MODULE |
0 |
|
|
NXP Semiconductors |
KIT EVAL MC44C402 MTS ENCODER |
0 |
|
|
NXP Semiconductors |
TEA1936X DEMOBOARD 1535 |
0 |
|
|
NXP Semiconductors |
MOD ATOP AUTO TELEMATIC SOP022 |
0 |
|
|
NXP Semiconductors |
KIT PRELIM EVALUATION MC3398PNA |
0 |
|
|
NXP Semiconductors |
NVT4555BS SIM CARD LT/LDO HVQFN1 |
0 |
|
|
NXP Semiconductors |
BOARD DEMO PN5472A2UK |
0 |
|
|
NXP Semiconductors |
CARD TELEPHONY FARM CRD 711X |
0 |
|
|
NXP Semiconductors |
KIT EVAL 33887 5A H-BRIDGE PQFN |
0 |
|
|
NXP Semiconductors |
KIT EVAL FOR MC33993 SWITCH DET |
0 |
|
|
NXP Semiconductors |
KIT EVAL 33989DW HS SBC |
0 |
|
|
NXP Semiconductors |
MOD ATOP AUTO TELEMATIC SOP022 |
0 |
|
|
NXP Semiconductors |
EVALUATION KIT MC33771 BATTERY |
0 |
|
|
NXP Semiconductors |
BOARD LIGHTING DVR SLN62 |
0 |
|
|
NXP Semiconductors |
DEMO RGBW LED PLATE |
0 |
|
|
NXP Semiconductors |
PCA8538 DISPLAY BOARD |
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)