| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
KIT EVAL HMC764LP6CE |
2 |
|
 |
Micro Crystal |
RV-4162 RTC EVAL BOARD |
11 |
|
 |
Texas Instruments |
EVAL MODULE TDC1000 TDC7200 |
0 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Texas Instruments |
EVAL MOD FOR SN65MLVD20X |
6 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR HMC834 |
1 |
|
 |
Marlow Industries, Inc. |
EVERGEN TEG GENERATOR ASSEMBLY |
3 |
|
 |
Adafruit |
TCA9548A I2C MULTIPLEXER BOARD |
693 |
|
 |
Nuvoton Technology Corporation America |
COMPACT EVAL BOARD FOR NAU8812 |
0 |
|
 |
Texas Instruments |
EVAL BOARD |
4 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LT3485EDD |
1 |
|
 |
Texas Instruments |
EVAL BOARD FOR LMX2581 |
2 |
|
 |
STMicroelectronics |
BOARD EVAL ARM STM32F103 |
4 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STGIF10CH60TS-L |
0 |
|
 |
Texas Instruments |
EVAL BOARD 2-CH USB HUB TUSB8020 |
2 |
|
 |
IR (Infineon Technologies) |
EVAL-1ED020I12-B2 TO SHOW THE FU |
1 |
|
 |
Roving Networks / Microchip Technology |
KSZ9897 SWITCH EVALUATION BOARD |
38 |
|
 |
STMicroelectronics |
USB TYPE-C AND POWER DELI |
3 |
|
 |
Seeed |
LIPO RIDER PLUS (CHARGER/BOOSTER |
427 |
|
 |
Roving Networks / Microchip Technology |
EVB-USB7206 EVALUATION 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)