| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Banner Engineering |
RECHARGEABLE DEMO BOX 24VDC |
18 |
|
 |
Richtek |
EVAL MODULE FOR RT9536HGQW |
0 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
BOARD MOTOR MOD I2C STP DVR NQFP |
0 |
|
 |
Cymbet |
ENERCHIP PMRTC EVAL KIT 3.2V CHG |
9 |
|
 |
Wickmann / Littelfuse |
EVAL GATE DRIVE PLATFORM GDEV |
6 |
|
 |
Sanyo Semiconductor/ON Semiconductor |
EVAL BOARD FIELDBUS ACCESS UNIT |
0 |
|
 |
Roving Networks / Microchip Technology |
DEV BOARD FOR ATA663231 |
0 |
|
 |
Texas Instruments |
EVAL BOARD CAN FD CONTRL |
12 |
|
 |
PUI Audio, Inc. |
AMM-3742-T-R MEMS MIC BOARD |
51 |
|
 |
Silicon Labs |
KIT EVAL FOR CP2110 |
3 |
|
 |
RV-3029-C2-EVALUATION-BOARD-OPTION-B Micro Crystal |
RV-3029-C2 RTC EVAL BOARD |
0 |
|
 |
Texas Instruments |
EVAL BOARD FOR LMX2571 |
6 |
|
 |
XMOS |
VOCALFUSION 4-MIC KIT AMAZON AVS |
5 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX5969B |
1036 |
|
 |
Analog Devices, Inc. |
BOARD EVAL 4-CHANNEL AFE |
2 |
|
 |
Texas Instruments |
DS280BR810EVM |
3 |
|
 |
Texas Instruments |
EVALUATION MOD FOR SN65LVDS125A |
3 |
|
 |
WIZnet |
ETHERNET SHIELD FOR W5500 |
90 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX11300 |
654 |
|
 |
MaxLinear |
GPIO EXPANDER EVAL BOARD |
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)