Evaluation Boards

Evaluation Boards - Sensors

Part Number	Description / PDF	Quantity
AS5048B-TS_EK_MB ams	KIT EVAL MOTOR POSITION AS5048B	21
AS5115-SS_EK_AB ams	ADAPTER BOARD FOR AS5115	2
AS5045-SS_EK_DB ams	BOARD DEMO AS5045	1
TCS3701-DB ams	DAUGHTER BOARD FOR THE TCS3701	2
AS7261 DEMO KIT ams	DEMO/EVAL KIT AS7261	8
AS5048-TS_EK_DB ams	BOARD DEMO AS5048	9
AS5115-SS_EK_DB ams	BOARD DEMO FOR AS5115	0
TMD3702VC-EVM ams	EVAL MODULE FOR THE TMD3702VC	2
TMD3725-EVM ams	EVAL MODULE FOR THE TMD3725	1
AS5047D-TS_EK_AB ams	SOCKET BOARD AS5047D	117
AS5048A-TS_EK_AB ams	BOARD ADAPTER AS5048	206
TMD2620-DB ams	DAUGHTER BOARD FOR THE TMD2620	1
AS5048A-TS_EK_MB ams	KIT EVAL MOTOR POSITION AS5048A	23
TSL2740-EVM ams	EVAL BOARD FOR TSL2740	2
LTFEVM ams	EVAL MODULE	4
AS6200-WL_DK_ST ams	DEMO BOARD FOR AS6200	2
AS5013-QF_EK_AB ams	AS5013 ADAPTER BOARD	12
AS5047P-TS_EK_AB ams	BOARD ADAPTER AS5047P	248
AS5050-DK-ST ams	BOARD DEMO FOR AS5050	0
AS5510-SO_EK_AB ams	ADAPTER BOARD FOR AS5510	19

Evaluation Boards - Sensors

1. Overview

Evaluation boards for sensors are specialized hardware platforms designed to test, validate, and develop sensor-based applications. These boards integrate sensor elements with processing units, communication interfaces, and power management modules. They play a critical role in accelerating product development cycles in industries such as IoT, industrial automation, healthcare, and consumer electronics by enabling rapid prototyping and performance characterization.

2. Major Types and Functional Classification

Type	Functional Features	Application Examples
Temperature Sensor Boards	High-precision thermal sensing with digital/analog outputs	Climate control systems, medical devices
Accelerometer Boards	3-axis motion detection with programmable sensitivity	Vibration monitoring, fitness trackers
Pressure Sensor Boards	Atmospheric/differential pressure measurement	Weather stations, automotive systems
Environmental Sensor Boards	Multi-parameter detection (humidity, gas, light)	Smart agriculture, air quality monitors
Image Sensor Boards	High-resolution optical sensing with ISP integration	Surveillance cameras, machine vision

3. Structure and Components

Typical evaluation boards consist of: - Sensor element (MEMS, CMOS, or discrete transducers) - Microcontroller/SoC with ADC/DAC interfaces - Communication modules (I2C, SPI, UART, BLE/Wi-Fi) - Power management ICs and voltage regulators - Debugging interfaces (JTAG, SWD) - Auxiliary components (LED indicators, potentiometers) The PCB layout optimizes signal integrity while minimizing electromagnetic interference.

4. Key Technical Specifications

Parameter	Description	Importance
Measurement Range	Minimum/maximum detectable values	Determines application suitability
Accuracy	Error margin vs. reference values	Impacts system reliability
Sampling Rate	Data acquisition frequency	Defines dynamic response capability
Power Consumption	Operating current/voltage requirements	Affects battery life and thermal design
Interface Type	Communication protocol compatibility	Dictates system integration complexity

5. Application Areas

Industrial Automation: Predictive maintenance systems, process control
Healthcare: Wearable vital sign monitors, diagnostic equipment
Consumer Electronics: Smart home devices, mobile accessories
Automotive: Tire pressure monitoring, ADAS sensors
Aerospace: Structural health monitoring, navigation systems

6. Leading Manufacturers and Products

Manufacturer	Representative Product	Key Features
STMicroelectronics	STEVAL-MKI187V1	6-axis IMU with advanced calibration
Texas Instruments	BOOSTXL-ULTRASONIC	Ultrasonic sensing for distance measurement
Analog Devices	EVAL-ADICUP3029	Low-power Cortex-M4F based platform
NXP Semiconductors	FRDM-FXS-MULTI-B	Multi-sensor fusion for IoT applications

7. Selection Guidelines

Key considerations include: - Match sensor specifications to target application requirements - Verify compatibility with existing development ecosystems - Evaluate power budget and form factor constraints - Consider available software support (drivers, SDKs) - Assess calibration and certification requirements Example: For a wearable health monitor, prioritize low-power accelerometers with medical-grade accuracy.

8. Industry Trends

Emerging trends include: - Integration of AI accelerators for edge computing - Development of wireless sensor nodes with energy harvesting - Advancements in MEMS fabrication for higher sensitivity - Standardization of sensor fusion algorithms - Growth of open-source hardware ecosystems Market projections indicate a 12% CAGR through 2027 driven by IoT and Industry 4.0 adoption.