| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LT4356-1 |
4 |
|
 |
Semtech |
KIT EVAL SX8650 BOARD |
0 |
|
 |
IR (Infineon Technologies) |
3000W DUAL LLC EVAL |
2 |
|
 |
ROHM Semiconductor |
BM61S41RFV-C EVALUATION BOARD |
8 |
|
 |
RV-3049-C3-EVALUATION-BOARD-OPTION-B Micro Crystal |
RV-3049-C3 RTC EVAL BOARD |
0 |
|
 |
Texas Instruments |
EVAL MODULE FOR BQ24061-002 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADM8642 |
1 |
|
 |
Texas Instruments |
TPS25980X EFUSE EVALUATION MODUL |
937 |
|
 |
NKK Switches |
SMARTDISPLAY ENG KIT 5-DC |
5 |
|
 |
Maxim Integrated |
EVAL KIT MAX14746 LI+ CHARGER |
1218 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LT6600-10 |
0 |
|
 |
XMOS |
KIT DEV 3510 VOCALFUSION AMAZON |
18 |
|
 |
Texas Instruments |
KIT PERFORMANCE DEMO FOR TSC2014 |
1 |
|
 |
STMicroelectronics |
BOARD & REF DESIGN |
3 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX44211 |
912 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR LB11696V |
5 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER PICTAIL MCP42XX |
6 |
|
 |
IR (Infineon Technologies) |
EVAL BOARD |
3 |
|
 |
Adafruit |
USB + SERIAL LCD BACKPACK BOARD |
38 |
|
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)