| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
ATMEL ATA6670-EK DEV BOARD |
0 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD FOR USB5744 |
9 |
|
 |
Roving Networks / Microchip Technology |
EVB-LAN9253-SAMD51 |
2 |
|
 |
Roving Networks / Microchip Technology |
MIC4609 EVALUATION BOARD |
7 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD POWER DISTRIBUTION SW |
2 |
|
 |
Roving Networks / Microchip Technology |
AUGMENTED SWITCH DEV KIT - 1700V |
2 |
|
 |
Roving Networks / Microchip Technology |
LAN9252-SAMD51 ETHERCAT EVAL SYS |
12 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD FOR LAN9252 |
13 |
|
 |
Roving Networks / Microchip Technology |
MSOP/DIP BARE BOARD 10PACK |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVALUATION FOR KSZ8021RNL |
3 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEV LIN SBC ATA6630 |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD GRAPH DISPLAY 5.7 640X480 |
2 |
|
 |
Roving Networks / Microchip Technology |
PIC18 POE DEVELOPMENT KIT |
4 |
|
 |
Roving Networks / Microchip Technology |
MIXED SIGNAL POWER MANAGER |
0 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVALUATION FOR ATA6832 |
0 |
|
 |
Roving Networks / Microchip Technology |
KSZ9477 MANAGED SWITCH EVALUATIO |
0 |
|
 |
Roving Networks / Microchip Technology |
ATEVK-MXT144UD-C EVAL KIT |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVAL FOR MCP3903 AFE |
1 |
|
 |
Roving Networks / Microchip Technology |
DEV BOARD FOR ATA663203 |
0 |
|
 |
Roving Networks / Microchip Technology |
8 X 4-PAIR PORTS PSE EVB PD69208 |
2 |
|
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)