| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Allegro MicroSystems |
EVAL BOARD FOR A3909 |
2 |
|
 |
Allegro MicroSystems |
BOARD EVAL MOTOR CONTROL A4954 |
1 |
|
 |
Allegro MicroSystems |
DEMO BOARD FOR A5988 |
12 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A3921KLP |
0 |
|
 |
Allegro MicroSystems |
BOARD EVAL FOR A4900KLQ |
0 |
|
 |
Allegro MicroSystems |
BOARD EVAL FOR A4960KJP |
0 |
|
 |
Allegro MicroSystems |
BOARD EVAL FOR A4988SET |
0 |
|
 |
Allegro MicroSystems |
BOARD EVAL FOR A3988SEV |
0 |
|
 |
Allegro MicroSystems |
Board Eval Motor Control A4986 |
0 |
|
 |
Allegro MicroSystems |
BOARD EVAL MOTOR CONTROL A4987 |
0 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A3903EEE |
0 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A4910KJP |
0 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A4933KJP |
0 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A4923GET |
0 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A5940GEJ |
0 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A4957SES |
0 |
|
|
Allegro MicroSystems |
BOARD EVALUATION A4962KLP |
0 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A3992SLP |
0 |
|
|
Allegro MicroSystems |
BOARD EVAL FOR A3910EEE |
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)