| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
EVAL BOARD FOR ATA6561 |
0 |
|
 |
Roving Networks / Microchip Technology |
EMC2305 & EMC1438 FAN CTRL AND T |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER ETH PICTAIL PLUS |
3 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER PICTAIL MCP42XX |
6 |
|
 |
Roving Networks / Microchip Technology |
KSZ9897 SWITCH EVALUATION BOARD |
38 |
|
 |
Roving Networks / Microchip Technology |
EVB-USB7206 EVALUATION BOARD |
0 |
|
 |
Roving Networks / Microchip Technology |
POE PD MODULE |
1 |
|
 |
Roving Networks / Microchip Technology |
AWS ZEROTOUCHSECURE PROVISIONING |
0 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD KSZ9031RNX |
48 |
|
 |
Roving Networks / Microchip Technology |
PL485 EVALUATION KIT |
3 |
|
 |
Roving Networks / Microchip Technology |
DEMO BOARD PWR MOD MCP39F511 |
11 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVAL MCP3913 |
1 |
|
 |
Roving Networks / Microchip Technology |
ATEVK-MXT144UD-A EVAL KIT |
2 |
|
 |
Roving Networks / Microchip Technology |
BREAKOUT MODULE MCP2210 |
174 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER IRDA PICTAIL PLUS |
1 |
|
 |
Roving Networks / Microchip Technology |
DEVICE HARDWARE KIT - SP6LI |
5 |
|
 |
Roving Networks / Microchip Technology |
SAMD21J18A MOTOR CONTROL KIT |
0 |
|
 |
Roving Networks / Microchip Technology |
AUGMENTED SWITCH DEV KIT |
2 |
|
 |
Roving Networks / Microchip Technology |
COMPACT EVB 8 PORTS EVBBASED PD6 |
1 |
|
 |
Roving Networks / Microchip Technology |
LAN7431 ETHERNET DEVELOPMENT SYS |
7 |
|
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)