| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Roving Networks / Microchip Technology |
BOARD DIGITAL AUDIO USB PIC32 |
0 |
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Roving Networks / Microchip Technology |
Energy Harvesting Development |
0 |
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Roving Networks / Microchip Technology |
KIT DEVELOPMENT USB 18F14/13K50 |
0 |
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Roving Networks / Microchip Technology |
BOARD DEMO GRAPH TRULY7 800X480 |
0 |
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Roving Networks / Microchip Technology |
BOARD FLEXIPANEL USB-EVAL |
0 |
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Roving Networks / Microchip Technology |
BOARD REF DESIGN ENERGY METER |
0 |
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Roving Networks / Microchip Technology |
KIT TUEMA DK CRYPTOMEM SMARTCARD |
0 |
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Roving Networks / Microchip Technology |
KIT EVAL MOTOR CTRL CAN/LIN |
0 |
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Roving Networks / Microchip Technology |
BOARD EVALUATION KSZ8842-PMQL |
0 |
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Roving Networks / Microchip Technology |
BOARD EVALUATION KSZ8041TL |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR AT83C26 |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD 5-PORT 10/100 S |
0 |
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Roving Networks / Microchip Technology |
KIT EVAL ATA6870/ATMEGA32HVB |
0 |
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Roving Networks / Microchip Technology |
KIT STARTER MOTR CTRL DSPIC33E |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD 5-PORT 10/100 S |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT ETHERCAT SLAVE 3PORT |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR USB2513/USB2513I |
0 |
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Roving Networks / Microchip Technology |
SINGLEWIRE PRODUCTS EVAL KIT |
0 |
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Roving Networks / Microchip Technology |
BOARD DEMO FOR MCP2150 |
0 |
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Roving Networks / Microchip Technology |
BOARD DEMO FOR MCP1630 |
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)