| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
BOARD EVALUATION FOR MCP23X08 |
5 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO FOR MCP3905 |
1 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEV LIN SBC ATA6629 |
0 |
|
 |
Roving Networks / Microchip Technology |
EVB-USB7216 EVALUATION BOARD |
5 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO PICKIT SERIAL I2C |
3 |
|
 |
Roving Networks / Microchip Technology |
BOARD MOTOR CTRL PICTAIL PLUS |
4 |
|
 |
Roving Networks / Microchip Technology |
EVAL ADD-ON EL9800 DEV PLATFORM |
22 |
|
 |
Roving Networks / Microchip Technology |
MODULE PD POE |
1 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVAL STEPPER MTS2916A |
1 |
|
 |
Roving Networks / Microchip Technology |
EVALUATION BOARD FOR USB 3.1 GEN |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO FOR MCP2515/51 |
18 |
|
 |
Roving Networks / Microchip Technology |
DEV TOOL MCP2200 BREAKOUT MODULE |
76 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER PICTAIL MCP2515 |
4 |
|
 |
Roving Networks / Microchip Technology |
EVALUATION BOARD FOR LAN9514 |
31 |
|
 |
Roving Networks / Microchip Technology |
PAC1934 USB C POWERMETER |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO FOR SAM4CMS32 |
1 |
|
 |
Roving Networks / Microchip Technology |
EVAL KIT ETHERCAT CTLR DIGIO |
3 |
|
 |
Roving Networks / Microchip Technology |
MOTOR DRIVER EVAL BOARD |
1 |
|
 |
Roving Networks / Microchip Technology |
POE PD MODULE |
2 |
|
 |
Roving Networks / Microchip Technology |
EVB-LAN7800LC-1 EVALUATION BOARD |
25 |
|
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)