| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT1668T2-A |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MIC5060 |
0 |
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Roving Networks / Microchip Technology |
VSC5633 EVAL BOARD |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR KSZ8864RMNUB |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD USB2660 |
0 |
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Roving Networks / Microchip Technology |
MODULE OPENPICUS ETHER RJ45 |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD LAN8742 |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT EXPERIMENTAL KS8695 |
0 |
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Roving Networks / Microchip Technology |
MODULE BATTERY MGR W/LED DISPLAY |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT336T |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD LAN9352 |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT EXPERIMENTAL KS8842 |
0 |
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Roving Networks / Microchip Technology |
KIT EVAL PIC16C432/433 LIN BUSS |
0 |
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Roving Networks / Microchip Technology |
MODULE FUEL GAUGE LIION 3-CELL |
0 |
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Roving Networks / Microchip Technology |
KIT EVALUATION PS5162 W/PS051 |
0 |
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Roving Networks / Microchip Technology |
MCP251XFD CAN FD MOTHER BOARD |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR KSZ8795CLX |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR AT73C203 |
0 |
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Roving Networks / Microchip Technology |
VSC5614 EVAL BOARD |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD LAN8720A |
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)