Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
28380

28380

Parallax, Inc.

KIT DB COLOR SENSOR COLORPAL

2

CC2650STK

CC2650STK

Texas Instruments

BLUETOOTH SENSOR TAG

277

EVAL-ADXL1001Z

EVAL-ADXL1001Z

Analog Devices, Inc.

EVAL BOARD FOR ADXL1001 100G RAN

22

ASEK71020KMAB-015B5-SPI

ASEK71020KMAB-015B5-SPI

Allegro MicroSystems

EVAL BOARD FOR ACS71020

24

ASEK-1330-T-KIT-DK

ASEK-1330-T-KIT-DK

Allegro MicroSystems

EVAL BOARD FOR A1330

2

DC2296A

DC2296A

Analog Devices, Inc.

EVAL BOARD FOR LTC2983

0

LIQUID FLOW PULSATION DAMPING KIT

LIQUID FLOW PULSATION DAMPING KIT

Sensirion

DAMPING LIQUID FLOW EVAL KIT

7

ASEK770LCB-050B-T-DK

ASEK770LCB-050B-T-DK

Allegro MicroSystems

BOARD DEMO 770LCB-050B SENSOR

9

SX9306EVKA

SX9306EVKA

Semtech

SX9306 EVALUATION KI

1

FDC2214PROXSEN-EVM

FDC2214PROXSEN-EVM

Texas Instruments

DEV KIT PROXIMITY AND CAP TOUCH

1

AR0237IRSH00SPRAH3-GEVB

AR0237IRSH00SPRAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL 2MP 1/3 CIS RGB-IR 0

2

968-051

968-051

Spec Sensors

NO2 SENSOR DEVELOPMENT KIT

5

TMG4903 EVM

TMG4903 EVM

ams

EVAL MODULE FOR TMG4903

8

MPRSS0001PG00001CB

MPRSS0001PG00001CB

Honeywell Sensing and Productivity Solutions

MPR 0-1 PSIG, I2C, GEL, SHORT PO

72

SEN-15325

SEN-15325

SparkFun

OPENMV H7 CAMERA

91

BMX055-SHUTL

BMX055-SHUTL

Bosch Sensortec

SHUTTLE BOARD DEV KIT BMX055

39

AS5261-MF_EK_AB

AS5261-MF_EK_AB

ams

ADAPTER BOARD FOR AS5261

0

ASEK-1377-SUBKIT-T

ASEK-1377-SUBKIT-T

Allegro MicroSystems

EVAL BOARD FOR A1377

2

STEVAL-IFS012V3

STEVAL-IFS012V3

STMicroelectronics

EVAL DAUGHTER STLM20

0

BM1422AGMV-EVK-001

BM1422AGMV-EVK-001

ROHM Semiconductor

EVAL BOARD FOR BM1422A

115

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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