| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD FOR FSUSB242 |
2 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCV74250V1G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL KIT LV8498CTG |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCP1612G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL BBG NB4N840MMN |
1 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCP451FCT2G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR NCS2564 VID DVR |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR NCN4555 SIM CARD |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCP382LMN10AG |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD FOR FUSB302B |
14 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL KIT NCV74300V2G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
STRATA ENABLED NCP45560 ECOSWITC |
3 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL NCV51511 |
2 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD DAUGHTER LIN STEP DVR NQFP |
3 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BD EVAL 2.5/3.3V XPOINT SWITCH |
1 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCN5150QFNG |
3 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCP334FCT2G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCP335FCT2G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCV74255V1G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR LV8761V |
4 |
|
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)