| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
HV MUX CONTROLLER BOARD |
2 |
|
 |
Roving Networks / Microchip Technology |
DEVELOPMENT PCB |
1 |
|
 |
Roving Networks / Microchip Technology |
MODULE ADAPTER BOARD SP6LI - 120 |
6 |
|
 |
Roving Networks / Microchip Technology |
EMC2103-4 FAN CTRL WITH LOOK-UP |
4 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEV LIN SBC ATA6631 |
2 |
|
 |
Roving Networks / Microchip Technology |
KSZ9893 PLUG-IN EVALUATION BOARD |
4 |
|
 |
Roving Networks / Microchip Technology |
DEV BUNDLE LV MOTOR CONTROL |
2 |
|
 |
Roving Networks / Microchip Technology |
SOIC,TSSOP,DIP BARE BRD 5PAK |
0 |
|
 |
Roving Networks / Microchip Technology |
EVB-USB7252 EVALUATION BOARD |
6 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO LIN SBC FOR ATA6624 |
5 |
|
 |
Roving Networks / Microchip Technology |
8 X 2-PAIR PORTS PSE EVB PD69208 |
2 |
|
 |
Roving Networks / Microchip Technology |
MCP3919 EVALUATION BOARD |
0 |
|
 |
Roving Networks / Microchip Technology |
MOTOR CONTROL DEV BOARD |
0 |
|
 |
Roving Networks / Microchip Technology |
REF DESIGN MCP1630 NIMH BATT CHG |
0 |
|
 |
Roving Networks / Microchip Technology |
SOIC/MSOP/TSSOP/DIP BARE BRD 3PK |
8 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD DUAL PUSH-BUTTON RES |
4 |
|
 |
Roving Networks / Microchip Technology |
DEMO KIT FOR 97SC3204 |
7 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEV LIGHTING COMM PROTO |
3 |
|
 |
Roving Networks / Microchip Technology |
SSOP,TSSOP BARE BRD 5PAK |
12 |
|
 |
Roving Networks / Microchip Technology |
KIT EVAL FOR AVR SMART BATTERY |
0 |
|
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)