| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTM2887-3I |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADN469XEFD |
3 |
|
 |
THine Solutions |
THCV215 EVALUATION BOARD |
0 |
|
 |
Texas Instruments |
EVALUATION BOARD FOR LM5068 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADM1075 |
1 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS65381 |
2 |
|
 |
Texas Instruments |
EVAL BOARD FOR LM3658 |
2 |
|
 |
Analog Devices, Inc. |
ANALOG FRONT END |
1 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS23753A-001 |
5 |
|
 |
Roving Networks / Microchip Technology |
SAMD21J18A MOTOR CONTROL KIT |
0 |
|
 |
XMOS |
EVAL XCORE VOCALFUSION 4MIC |
14 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC722LC3C |
1 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD EVAL FOR LV8734V |
1 |
|
 |
Texas Instruments |
ULTRASONIC SENSOR |
41 |
|
 |
STMicroelectronics |
TRANSPORTATION SOLUTION EVAL BOA |
9 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC769LP6CE |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD 1A TEC ADN8833 |
2 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS2003-016 |
12 |
|
 |
Texas Instruments |
EVAL MODULE HD3SS460 |
3 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADAU1787 |
63 |
|
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)