| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR LV8417CS |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM2587 |
1 |
|
 |
STMicroelectronics |
COMPACT 27W USB TYPE-C POWER DEL |
11 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4368-2 |
12 |
|
 |
Roving Networks / Microchip Technology |
MTD6508 EVAL MOTHER BOARD |
2 |
|
 |
Texas Instruments |
TPS23523EVM-863 |
2 |
|
 |
TRINAMIC Motion Control GmbH |
EVAL KIT FOR TMC2041 |
0 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LTM8062 |
1 |
|
 |
Broadcom |
KIT EVAL FIBER OPTICS 125MBD |
0 |
|
 |
Texas Instruments |
KIT EVAL MOTOR CTRL FOR DRV8302 |
2 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4245 |
1 |
|
 |
Analog Devices, Inc. |
ADP5350 EVALUATION BOARD WLCSP |
1 |
|
 |
Roving Networks / Microchip Technology |
SIC GATE DRIVER EVALUATION PRODU |
5 |
|
 |
Woodhead - Molex |
USB 2.0 100MA HUB MODULE KIT |
80 |
|
 |
Advanced Linear Devices, Inc. |
SUPERCAPACITOR AUTO BAL PCB |
4 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NCS36000G |
3 |
|
 |
Texas Instruments |
BOARD EVAL FOR DP83630 |
12 |
|
 |
Pololu Corporation |
4-CHANNEL RC SERVO MUX KIT |
56 |
|
 |
TDK EPCOS |
POWERHAP EVAL BRD VER1 5-CHANNEL |
3 |
|
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)