Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
NNAMC1800PCEV

NNAMC1800PCEV

Neonode

EVAL KIT MODULE 0 DEG 180MM

68

4253

4253

Pololu Corporation

QTR-MD-13A REF ARRAY 13CHNL

31

AS5247U-TQ_EK_AB

AS5247U-TQ_EK_AB

ams

AS5247U ADAPTERBOARD

2

TCS3414EVM2

TCS3414EVM2

ams

EVAL MODULE 2 FOR TCS3414

3

PIM472

PIM472

Pimoroni

BME280 BREAKOUT - TEMPERATURE, P

0

HALL-ADAPTER-EVM

HALL-ADAPTER-EVM

Texas Instruments

SOT23 TO92 HALL SENSOR BARE BRD

13

00-0-0101

00-0-0101

Senseair

S8 SADK

4

STEVAL-MKI167V1

STEVAL-MKI167V1

STMicroelectronics

H3LIS200DL 3-AXIS DIGITAL ACCELE

0

AS5600L-SO_EK_AB

AS5600L-SO_EK_AB

ams

AS5600L ADAPTERBOARD SOIC8

4

VL6180X-SATEL

VL6180X-SATEL

STMicroelectronics

BOARD SATELLITE VL6180X

49

ASEK780KLR-150B-T-DK

ASEK780KLR-150B-T-DK

Allegro MicroSystems

EVAL BOARD FOR ACS780XLR

4

DK-10100

DK-10100

TDK InvenSense

ICP-10100 DEVELOPMENT KIT BOARD

18

STEVAL-MKI088V1

STEVAL-MKI088V1

STMicroelectronics

BOARD DEMO FOR LIS33DE

0

STEVAL-MKI201V1K

STEVAL-MKI201V1K

STMicroelectronics

STTS75 EVAL BOARD

10

EVAL-ADXRS800Z-EY

EVAL-ADXRS800Z-EY

Analog Devices, Inc.

EVAL BOARD FOR ADXRS800Z

0

EVAL-ADXL362Z-S

EVAL-ADXL362Z-S

Analog Devices, Inc.

BOARD SATELLITE FOR ADXL362

0

ISL29125EVAL1Z

ISL29125EVAL1Z

Intersil (Renesas Electronics America)

EVAL BOARD FOR ISL29125

2

ADIS16475-3/PCBZ

ADIS16475-3/PCBZ

Analog Devices, Inc.

EVAL BOARD FOR ADIS16475-3

7

EVAL-KX022-1020

EVAL-KX022-1020

ROHM Semiconductor

BOARD EVALUATION KX022-1020

23

DIGIPILE SMD ADAPTERBOARD INCL. TPIS 1S 1252

DIGIPILE SMD ADAPTERBOARD INCL. TPIS 1S 1252

Excelitas Technologies

BOARD TO BE CONNECTD TO DEMO KIT

23

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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