Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
2513254510091

2513254510091

Würth Elektronik Midcom

EVALUATION BOARD WSEN-PDUS, 0.1

2

968-026

968-026

Spec Sensors

968-026 SDK-IAQ SENSOR DEVELOPER

0

AAS-LDS-UNO

AAS-LDS-UNO

Thermometrics (Amphenol Advanced Sensors)

AIR QUALITY EVALUATION BOARD WIT

6

ADXL150EM-3

ADXL150EM-3

Analog Devices, Inc.

EVAL MODULE FOR ADXL150 3-AXIS

16

DRV5055-ANGLE-EVM

DRV5055-ANGLE-EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

3

SEN-13676

SEN-13676

SparkFun

SPARKFUN ATMOSPHERIC SENSOR BREA

148

TMP116EVM

TMP116EVM

Texas Instruments

EVAL MODULE

1

SEK002

SEK002

Honeywell Sensing and Productivity Solutions

SENSOR EVALUATION KIT

62

MICROFC-SMA-60035-GEVB

MICROFC-SMA-60035-GEVB

Sanyo Semiconductor/ON Semiconductor

C-SERIES 6MM 35U SMA

5

DM160220

DM160220

Roving Networks / Microchip Technology

BOARD DEMO FOR MTCH101

19

AR0237IRSH12SPRAH3-GEVB

AR0237IRSH12SPRAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL 2MP 1/3 CIS RGB-IR 12

3

AG953-07E

AG953-07E

NVE Corporation

SM225-10E SMART TMR MAG EVAL KIT

86

107244

107244

Basler

DEVKIT DAA2500-14UC-EVA

0

EVAL-ADXRS623Z

EVAL-ADXRS623Z

Analog Devices, Inc.

BOARD EVAL FOR ADXRS623

1

LDC1312EVM

LDC1312EVM

Texas Instruments

EVAL MODULE FOR LDC1312

2

SEN0208

SEN0208

DFRobot

WEATHER-PROOF ULTRASONIC SENSOR

93

SEN-14518

SEN-14518

SparkFun

FINGERPRINT SCANNER - TTL (GT-52

40

MD-42688-P

MD-42688-P

TDK InvenSense

SMARTBUG MULTI-SENSOR WIRELESS

136

STEVAL-BFA001V1B

STEVAL-BFA001V1B

STMicroelectronics

COMMUNICATION AND CONNECTIVITY S

20

SI7057-EVB

SI7057-EVB

Silicon Labs

SI7057 EVALUATION BOARD

22

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

TypeFunctional FeaturesApplication Examples
Temperature Sensor BoardsHigh-precision thermal sensing with digital/analog outputsClimate control systems, medical devices
Accelerometer Boards3-axis motion detection with programmable sensitivityVibration monitoring, fitness trackers
Pressure Sensor BoardsAtmospheric/differential pressure measurementWeather stations, automotive systems
Environmental Sensor BoardsMulti-parameter detection (humidity, gas, light)Smart agriculture, air quality monitors
Image Sensor BoardsHigh-resolution optical sensing with ISP integrationSurveillance 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

ParameterDescriptionImportance
Measurement RangeMinimum/maximum detectable valuesDetermines application suitability
AccuracyError margin vs. reference valuesImpacts system reliability
Sampling RateData acquisition frequencyDefines dynamic response capability
Power ConsumptionOperating current/voltage requirementsAffects battery life and thermal design
Interface TypeCommunication protocol compatibilityDictates 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

ManufacturerRepresentative ProductKey Features
STMicroelectronicsSTEVAL-MKI187V16-axis IMU with advanced calibration
Texas InstrumentsBOOSTXL-ULTRASONICUltrasonic sensing for distance measurement
Analog DevicesEVAL-ADICUP3029Low-power Cortex-M4F based platform
NXP SemiconductorsFRDM-FXS-MULTI-BMulti-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.

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