| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD STK681-360G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVALUATION NCN9252MU |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD OCT HS DVR 28SOIC |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL LAN SWITCH NCN7200 |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVALUATION BBG NBSG11BA |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD BIDIR MOTOR DRIVER |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD SHUNT REGULATOR |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD FOR NCN6001DTB |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR NCN8024DW |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL ELECT FUSE NIS5132-35 |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCN51205G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL NCP1351 40W PRINTER |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD FOR NCV7703G |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD STK984-091AG |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR LV8727 |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD LV5681PG |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL DPDT SWITCH NLAS7242 |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL DPDT SWITCH NS51153 |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR NCP362G |
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)