| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Renesas Electronics America |
DEMO BOARD ZLED7000 |
0 |
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Renesas Electronics America |
BOARD EVAL FOR FOR 82V8313 |
0 |
|
|
Renesas Electronics America |
EVAL KIT WIRELESS P9240 |
0 |
|
|
Renesas Electronics America |
BOARD EVAL FOR FOR 82V2108 |
0 |
|
|
Renesas Electronics America |
EVALUATION FOR P9234 |
0 |
|
|
Renesas Electronics America |
EVALUATION BOARD P9382 |
0 |
|
|
Renesas Electronics America |
KIT SYSTEM DEV FOR PES24N3A |
0 |
|
|
Renesas Electronics America |
KIT SYSTEM DEV FOR PES24T6 |
0 |
|
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Renesas Electronics America |
IC I/O EXPANSION SWITCH |
0 |
|
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Renesas Electronics America |
DEMO USB3.0 HOST CTLR UPD720202K |
0 |
|
|
Renesas Electronics America |
BOARD EVALUATION |
0 |
|
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Renesas Electronics America |
MULTIMKT-TIMING |
0 |
|
|
Renesas Electronics America |
BOARD EVAL FOR FOR 82V2088 |
0 |
|
|
Renesas Electronics America |
BOARD EVAL FOR 82P2282 |
0 |
|
|
Renesas Electronics America |
KIT INCZLED7001 120V |
0 |
|
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Renesas Electronics America |
EVAL KIT WIRELESS |
0 |
|
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Renesas Electronics America |
BOARD EVALUATION |
0 |
|
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Renesas Electronics America |
KIT STARTER 2CH 10/100 ETHERNET |
0 |
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Renesas Electronics America |
KIT SYSTEM DEV FOR PES32T8 |
0 |
|
|
Renesas Electronics America |
CLOCK SYNTHESIZE/GENERATOR/PLL |
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)