| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Roving Networks / Microchip Technology |
BOARD DAUGHTER PWR LINE MODEM |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR CAN-ETHERNET MOD |
0 |
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Roving Networks / Microchip Technology |
KIT DEMO BOARD ACTIVE FILTER |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL EXPERIMENT KS8721BT |
0 |
|
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT336T |
0 |
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Roving Networks / Microchip Technology |
BOARD DEMO MP3 PLAYER |
0 |
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Roving Networks / Microchip Technology |
BOARD ETH PICTAIL WIZNET W5200 |
0 |
|
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Roving Networks / Microchip Technology |
REF DESIGN MCP3909 3PH ENGY MTR |
0 |
|
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Roving Networks / Microchip Technology |
KIT DEV DMX512A LIGHTING COMM |
0 |
|
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Roving Networks / Microchip Technology |
KIT EVAL MOTOR CTRL FOR TINYX61 |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD 10BASE-T/100BAS |
0 |
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Roving Networks / Microchip Technology |
BOARD EVALUATION FOR USB2502 |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR T6816/U6815BM |
0 |
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Roving Networks / Microchip Technology |
EVAL 85V HALF BRIDGE MOSFET DRVR |
0 |
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Roving Networks / Microchip Technology |
SAM4CMP DEMO BOARD |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD 2PORT ETHERNET CONTRO |
0 |
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Roving Networks / Microchip Technology |
KIT EVALUATION FOR AT90PWM3 |
0 |
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Roving Networks / Microchip Technology |
KIT DEMO FOR AT90USB |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD FOR USB4640 |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR USB2512/USB2512I |
0 |
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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)