| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Texas Instruments |
EVAL MOD TPL5111 SYSTEM TIMER |
1 |
|
 |
ams |
DEMOBOARD EVAL WHITE GOOD |
0 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Micro Crystal |
RV8803 RTC EVAL BOARD |
29 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX3872 |
0 |
|
 |
Future Technology Devices International, Ltd. |
USB TO BASIC UART DEVELOPMENT BR |
0 |
|
 |
Texas Instruments |
MOD EVAL DRV8308 PREDRIVER |
10 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS65910A |
5 |
|
 |
Crystek Corporation |
BOARD EVAL FOR CVCO33 .3"X.3" |
0 |
|
 |
Maxim Integrated |
EVAL MAX20303 WEAR PMIC |
414 |
|
 |
Roving Networks / Microchip Technology |
LAN7431 ETHERNET DEVELOPMENT SYS |
7 |
|
 |
Future Technology Devices International, Ltd. |
MOD USB FULL UART DEV FT231X |
0 |
|
 |
STMicroelectronics |
BOARD DEMO L6206Q BRIDGE DIODE |
4 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVAL FOR MCP39F501 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADAU1777 |
14 |
|
 |
Maxim Integrated |
EVAL MAX17613 PROTECTION |
820 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD FOR LV8829LFQA |
0 |
|
 |
Schurter |
EVB EVALUATION BOARD DKIH-3 32A |
15 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVALUATION KIT FOR LV8714 |
0 |
|
 |
Nuvoton Technology Corporation America |
BOARD EVAL FOR ISD2360 |
24 |
|
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)