| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
EPC |
EVAL BOARD AMP ZVS CLASS D |
5 |
|
 |
EPC |
MULTI-MODE WIRELESS POWER AMPLIF |
5 |
|
 |
EPC |
BOARD DEV FOR EPC2030 40V |
10 |
|
 |
EPC |
CLASS 4 WIRELESS PWR AMP DEMOBRD |
54 |
|
 |
EPC |
BOARD DEV FOR EPC2052 100V EGAN |
9 |
|
 |
EPC |
DEV BRD EPC2034C 200V EGAN FET |
36 |
|
 |
EPC |
BOARD DEV FOR EPC2037 100V EGAN |
20 |
|
 |
EPC |
WIRELESS POWER RECEIVE DEMO CIRC |
8 |
|
 |
EPC |
DEV BOARD EPC2016C 100V EGAN |
27 |
|
 |
EPC |
EVAL BRD WIRELESS POWER REC 5 V |
12 |
|
 |
EPC |
BOARD DEV FOR EPC2053 100V EGAN |
29 |
|
 |
EPC |
BOARD DEV FOR EPC2102 60V EGAN |
6 |
|
 |
EPC |
BOARD DEV FOR EPC2001 100V GAN |
0 |
|
 |
EPC |
EVAL BOARD FOR EPC2045 |
16 |
|
 |
EPC |
BOARD DEV FOR EPC2031 60V |
3 |
|
 |
EPC |
CLASS 3 WIRELESS POWER DEMONSTRA |
13 |
|
 |
EPC |
BOARD DEV FOR EPC2024 40V EGAN |
35 |
|
 |
EPC |
BOARD DEV EPC2207 200V EGAN FET |
37 |
|
 |
EPC |
BOARD DEV FOR EPC2107 100V EGAN |
16 |
|
 |
EPC |
CLASS 4 WIRELESS PWR DEMO KIT |
8 |
|
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)