Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
TSL2740-DB

TSL2740-DB

ams

TSL2740 DAUGHTER BOARD

9

STEVAL-MKI166V1

STEVAL-MKI166V1

STMicroelectronics

H3LIS100DL 3-AXIS DIGITAL ACCELE

7

LDC1314EVM

LDC1314EVM

Texas Instruments

EVAL MODULE FOR LDC1314

6

EVAL-CN0428-EBZ

EVAL-CN0428-EBZ

Analog Devices, Inc.

ADUCM355 WATER QUALITY SENSOR

23

TMPSNS-RTD1

TMPSNS-RTD1

Roving Networks / Microchip Technology

BOARD EVAL PT100 RTD TEMP SENSOR

1

SLG-0150 FMK

SLG-0150 FMK

Sensirion

FLOW METER KIT FOR SLG-0150

7

ASEK71020KMAB-090B3-I2C

ASEK71020KMAB-090B3-I2C

Allegro MicroSystems

EVAL BOARD FOR ACS71020

15

4871

4871

Adafruit

BREADBOARD-FRIENDLY MINI PIR MOT

90

EVBMCA1101-50-5

EVBMCA1101-50-5

Aceinna Inc.

EVAL BOARD FOR MCA1101-50-5

15

SEN-14585

SEN-14585

SparkFun

FINGERPRINT SCANNER - TTL (GT-52

62

APD EVAL BOARD

APD EVAL BOARD

Excelitas Technologies

EVAL BRD APD - REFERENCE DESIGN

3

3623V881

3623V881

Canon

120MXSC EVAL KIT

2

HMC5883L-DEMO

HMC5883L-DEMO

Honeywell Aerospace

IC COMPASS 3 AXIS I2C DEMO KIT

1

EVAL-ADXL343Z-DB

EVAL-ADXL343Z-DB

Analog Devices, Inc.

BOARD DEV/DATALOGGER ADXL343Z

5

4831

4831

Adafruit

ADAFRUIT LTR390 UV LIGHT SENSOR

232

4141

4141

Pololu Corporation

QTR-MD-01RC REF SENSOR 1CHNL

249

AS7262 DEMO KIT

AS7262 DEMO KIT

ams

DEMO/EVAL KIT AS7262

22

ASEK758LCB-100U-T-DK

ASEK758LCB-100U-T-DK

Allegro MicroSystems

BOARD DEMO 758LCB-100U SENSOR

0

FSP200 USB/Serial Adaptor

FSP200 USB/Serial Adaptor

Hillcrest Labs (CEVA)

FSP200 USB/SERIAL ADAPTOR

23

AR0144CSSC20SUKAH3-GEVB

AR0144CSSC20SUKAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL 1MP 1/4 CIS RGB 20 DE

1

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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