Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
ASEK710KLA-12CB-T-DK

ASEK710KLA-12CB-T-DK

Allegro MicroSystems

BOARD DEMO 710KLA-12CB SENSOR

8

MAX25205EVKIT#

MAX25205EVKIT#

Maxim Integrated

EVAL KIT FOR MAX25205

139

AS5601-SO_EK_AB

AS5601-SO_EK_AB

ams

ADAPTER BOARD FOR AS5601

0

4145

4145

Pololu Corporation

QTR-MD-05RC REF ARRAY 5CHNL

63

SEN-15338

SEN-15338

SparkFun

CAPACITIVE FINGERPRINT SCANNER -

21

DFR0517

DFR0517

DFRobot

OPENMV CAM M7 A MACHINE VISION

0

3566

3566

Adafruit

CCS811 AIR QUALITY SENSOR BREAKO

49

BRKT-STBC-SA9500

BRKT-STBC-SA9500

NXP Semiconductors

BREAKOUT BOARD FOR FXLC95000CL

5

ATTINY817-QTMOISTD

ATTINY817-QTMOISTD

Roving Networks / Microchip Technology

TINY817 QTOUCH MOISTURE DEMO KIT

1

OPENIMU300ZI EVK

OPENIMU300ZI EVK

Aceinna Inc.

EVAL BOARD FOR OPENIMU300ZI

4

STEVAL-MKI168V1

STEVAL-MKI168V1

STMicroelectronics

EVAL BOARD FOR IIS2DH

11

4413

4413

Pololu Corporation

QTRX-HD-13A REF ARRAY 13CHNL

65

SEN-12785

SEN-12785

SparkFun

BOARD RANGE SENSOR TOF VL6180

60

SEN-12909

SEN-12909

SparkFun

SPARKFUN PRESSURE SENSOR BREAKOU

20

STEVAL-MKI178V2

STEVAL-MKI178V2

STMicroelectronics

EVAL BOARD FOR LSM6DSL

57

1050404012-01-EVAL-COMBO

1050404012-01-EVAL-COMBO

Bend Labs

COMBINATION KIT (1&2 AXIS)

59

SHUTTLE BOARD BMP384

SHUTTLE BOARD BMP384

Bosch Sensortec

SHUTTLE BOARD BMP384

0

LMT90EVM

LMT90EVM

Texas Instruments

EVAL MODULE FOR LMT90

1

STEVAL-MKI208V1K

STEVAL-MKI208V1K

STMicroelectronics

IIS3DWB INEMO INERTIAL KIT

92

EVAL-ADXL362Z

EVAL-ADXL362Z

Analog Devices, Inc.

BOARD EVALUATION FOR ADXL362

60

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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