| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL NCP1608 100W BOOST |
2 |
|
 |
IR (Infineon Technologies) |
EVAL MOSFET DRIVER TLE92018 |
3 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC3110 |
8 |
|
 |
CML Microcircuits |
EVALUATION BOARD FOR CMX869B |
2 |
|
 |
NKK Switches |
SMARTDISPLAY DEV KIT 6D |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NBA3N206SDG |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STWLC68 2.5W |
16 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR LV8080LP |
1 |
|
 |
NXP Semiconductors |
FRDM EXPANSION BOARD PF8121 |
1 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Multi-Tech Systems, Inc. |
KIT DEV SRL SOCKETMODEM UNIVERSL |
9 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR AD9517-3A |
2 |
|
 |
Texas Instruments |
TCAN10XX CONTROLLER AREA NETWORK |
11 |
|
 |
Advanced Linear Devices, Inc. |
SUPERCAPACITOR AUTO BAL PCB 2-CH |
0 |
|
 |
Broadcom |
EVAL BOARD FOR PEX8747 |
2 |
|
 |
WIZnet |
EVALUATION BOARD |
4 |
|
 |
Maxim Integrated |
BOARD EVAL FOR ULP STEREO CODEC |
1420 |
|
 |
Texas Instruments |
EVAL KIT FOR LMK00725 |
1 |
|
 |
TRINAMIC Motion Control GmbH |
EVAL BOARD FOR TMC5072 |
0 |
|
 |
STMicroelectronics |
BOARD DEMO 100W PFC L6564H |
1 |
|
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)