| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVAL ADM2682 |
2 |
|
 |
NXP Semiconductors |
DEMO BOARD LCD GRAPHIC DRIVER |
1 |
|
 |
WIZnet |
EVALUATION MODULE |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM2914 |
5 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Maxim Integrated |
EVKIT FOR EMBEDDED PPG |
10100 |
|
 |
Maxim Integrated |
DS28S60 EVALUATION SYSTEM |
318 |
|
 |
Texas Instruments |
EVAL BOARD FOR BQ77905 |
1 |
|
 |
STMicroelectronics |
BOARD EVAL FOR STHV748 |
0 |
|
 |
Texas Instruments |
EVAL BOARD PHYTER IND TEMP |
4 |
|
 |
Texas Instruments |
EVALUATION MODULE |
12 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4120EUD -4.2 |
1 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD NLAS7222CMUG |
0 |
|
 |
Roving Networks / Microchip Technology |
DEVICE PROGRAMMING KIT |
10 |
|
 |
STMicroelectronics |
BOARD EVAL FOR STWBC |
2 |
|
 |
Texas Instruments |
EVAL MODULE FOR BQ25060 |
1 |
|
 |
Roving Networks / Microchip Technology |
DEVELOPMENT BOARD FOR ATA663211 |
0 |
|
 |
Silicon Labs |
SI5344 EVALUATION BOARD FOR 1-PL |
0 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADG5462F |
1 |
|
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)