| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
AUGMENTED SWITCH DEV KIT |
2 |
|
 |
Roving Networks / Microchip Technology |
EVALUATION BOARD LAN9500A |
50 |
|
 |
Roving Networks / Microchip Technology |
ATMXT144UD-I2C-PCB DEV BOARD |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVALUATION MCP42XX |
2 |
|
 |
Roving Networks / Microchip Technology |
LAN7430 EVALUATION BOARD |
8 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVAL FOR MCP23X17 |
44 |
|
 |
Roving Networks / Microchip Technology |
MOD EVAL USB/RS232 MCP2200 |
14 |
|
 |
Roving Networks / Microchip Technology |
DEV BOARD FOR ATA663454 |
0 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER PICTAIL ETHERNET |
4 |
|
 |
Roving Networks / Microchip Technology |
PIC24F LCD CURIOSITY DEV BOARD |
4 |
|
 |
Roving Networks / Microchip Technology |
DEMO KIT FOR 97SC3204 |
6 |
|
 |
Roving Networks / Microchip Technology |
KIT EVALUATION FOR MCP7382X |
1 |
|
 |
Roving Networks / Microchip Technology |
KIT DEV TCP/IP AT89C51RD2 REMOTE |
1 |
|
 |
Roving Networks / Microchip Technology |
ATMXT1665 I2C DEVELOPMENT BOARD |
4 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO MCP661 LINE DRIVER |
0 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVALUATION FOR KSZ8051MLL |
4 |
|
 |
Roving Networks / Microchip Technology |
DAUGHTER BOARD AUDIO DAC |
3 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD FOR PAC1921 |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVAL FOR MCP73855 |
4 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEV DSPICDEM MCSM |
1 |
|
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)