| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
MAXTOUCH (I2C) EVALUATION KIT |
3 |
|
 |
THine Solutions |
THCV236 EVALUATION BOARD |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9548 |
9 |
|
 |
STMicroelectronics |
BOARD EVAL ENERGY METER STPMC1 |
3 |
|
 |
Maxim Integrated |
KIT MAX20330 OVERVOLTAGE PROT |
12 |
|
 |
Texas Instruments |
SMART DIODE |
4 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADG798 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR HMC821 |
0 |
|
 |
Texas Instruments |
KIT EVAL LVDS 2X2 CROSSPOINT |
1 |
|
 |
PowerFilm Inc. |
INDOOR SOLAR DEV KIT NORDIC BLE |
21 |
|
 |
TRINAMIC Motion Control GmbH |
EVAL BOARD FOR TMC5130 |
45 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC835LP6GE |
11 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL BBG NB6L239MND |
1 |
|
 |
Cree |
BOARD EVAL WIDE AREA LIGHT |
0 |
|
 |
Roving Networks / Microchip Technology |
ATM90E2X DEMO BOARD |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD5232 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9915 |
7 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR HMC702LP6CE |
1 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
THE STR-NIS5020-GEVB PROV |
3 |
|
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)