Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
STEVAL-ICB001V1

STEVAL-ICB001V1

STMicroelectronics

BOARD EVAL CAP SENSOR STMPE1208S

0

STEVAL-MKI015V1

STEVAL-MKI015V1

STMicroelectronics

BOARD DEMO LIS344ALH

0

EVAL-KXTC9-2050

EVAL-KXTC9-2050

ROHM Semiconductor

BOARD EVALUATION FOR KXTC9-2050

0

STEVAL-MKI105V1

STEVAL-MKI105V1

STMicroelectronics

BOARD ADAPT LIS3DH DIL24 SOCKET

9

EVAL-ADXRS450Z-V

EVAL-ADXRS450Z-V

Analog Devices, Inc.

BOARD STAMP ADXRS450 VMP

3

888-1-014

888-1-014

FlexPoint

USB BEND SENSOR KIT

200

54-89654

54-89654

Interlink Electronics

MICROJOYSTICK HDK

13

ZMID5202MARC13001

ZMID5202MARC13001

Renesas Electronics America

EVALUATION KIT

6

EVAL-KXTIK-1004

EVAL-KXTIK-1004

ROHM Semiconductor

BOARD EVALUATION FOR KXTIK-1004

0

ASEK723KMA-10AB-T-DK

ASEK723KMA-10AB-T-DK

Allegro MicroSystems

EVAL BOARD FOR ACS723KMA

1

AR0835HS3C12SUAAH3-GEVB

AR0835HS3C12SUAAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL 8 MP 1/3" CIS HB

3

AS5115-SS_EK_AB

AS5115-SS_EK_AB

ams

ADAPTER BOARD FOR AS5115

2

EVAL-KXTF9-2050

EVAL-KXTF9-2050

ROHM Semiconductor

BOARD EVALUATION FOR KXTF9-2050

0

V14444-03-02

V14444-03-02

Thales Visionix, Inc.

NAVCHIP IMU EVAL KIT, USB

7

V14447-03-02

V14447-03-02

Thales Visionix, Inc.

NAVCHIP IMU EVAL KIT, RS422

1

STEVAL-MKI033V1

STEVAL-MKI033V1

STMicroelectronics

EVAL BOARD FOR LPR503AL

0

XDK110

XDK110

Bosch Connected Devices and Solutions

XDK SENSOR-BASED DEVELOPMENT KIT

119

EVBMCR1101-50-5

EVBMCR1101-50-5

Aceinna Inc.

EVAL BOARD FOR MCR1101-50-5

0

1899

1899

Adafruit

BOARD HTU21D-F TEMP/HUM SENSOR

207

4501

4501

Pololu Corporation

QTRXL-HD-01RC REF SENSOR 1CHNL

265

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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