| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Roving Networks / Microchip Technology |
KIT DEV USB HUB/EMBD AT43USB320A |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL CAMERA TRANSMITTER |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT1667T2 |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL EXPERIMENT FOR KS8737 |
0 |
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Roving Networks / Microchip Technology |
BOARD DAUGHTER PC EVALUATION |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL EXPERIMENT KS8995E |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL EXPERIMENT KS8695PX |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT337T |
0 |
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Roving Networks / Microchip Technology |
BOARD EVALUATION FOR KSZ8721B |
0 |
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Roving Networks / Microchip Technology |
VSC5610 EVAL BOARD |
0 |
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Roving Networks / Microchip Technology |
EVALUATION KSZ8765CLX |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR SY89327L |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD USB3343 |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL USB4624 HUB |
0 |
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Roving Networks / Microchip Technology |
KIT DEV FOR AT85C51SND3 |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL EXPERIMENT KS8695X |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT1667T2 |
0 |
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Roving Networks / Microchip Technology |
EVAL-BOARD MIC4605-1YMT |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD USB3503Q |
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)