Evaluation and Demonstration Boards and Kits

Part Number	Description / PDF	Quantity
DK-RV-1.8-33 ams	EVAL KIT SQUIGGLE MOTOR	2
DK-RV-1.8.TRK-33 ams	EVAL KIT SQUIGGLE MOTOR + SENSOR	7
AS1115-SS_DK_RB WG ams	DEMOBOARD EVAL WHITE GOOD	0
AS3420 EK-ST ams	BOARD EVAL FOR AS3420	2
DK-M3-RS-U-2M-20-L ams	EVAL KIT BEAM STEERING	5
DK-M3-L-1.8-TRK-6.0-S ams	EVAL KIT M3-L LINEAR MOTION	0
DK-M3-LS-1.8-6 ams	EVAL KIT M3-LS	5
AS3610 DEMOBOARD ams	AS3610 DEMOBOARD	5
DK-M3-LS-3.4-15 ams	EVAL KIT M3-LS-3.4	0
DK-M3-F-1.8-TRK-1.5-S ams	EVAL KIT M3-F FOCUS CAMERA	2
AS8510 DEMOBOARD ams	BOARD DEMOL AS8510	1
AS3400 EK-ST ams	BOARD EVAL FOR AS3400	3
DK-M3-RS-U-1M-20 ams	EVAL KIT MIRROR POSITIONING	2
AS3410 EK-ST ams	BOARD EVAL FOR AS3410	1
DK-M3-FS-1.8-1.5-M12/16 ams	EVAL KIT M3-FS	11
AS3460_EVALUATION_BO ams	AS3460 EVALUATION BOARD 1V2	0
AS3435 EK-ST ams	EVAL KIT AS3435	0
AS3447_EVALUATION_BO ams	AS3447 EVALUATION BOARD 1V1	0
AS3442_EVALUATION_BO ams	AS3442 EVALUATION BOARD 1V1	0
AS8506-DK-ACTIVE ams	DEMO BOARD FOR AS8506	0

Evaluation and Demonstration Boards and Kits

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)