Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
BOOSTXL-TUSS4470

BOOSTXL-TUSS4470

Texas Instruments

ULTRASONIC SENSING BRIDGE DVR

6

DRV425EVM

DRV425EVM

Texas Instruments

DRV425 EVALUATION MODULE

0

TMP1075EVM

TMP1075EVM

Texas Instruments

EVAL MODULE FOR TMP1075

22

HDC1010EVM

HDC1010EVM

Texas Instruments

EVAL BOARD FOR HDC1010

9

BOOSTXL-TUSS4440

BOOSTXL-TUSS4440

Texas Instruments

ULTRASONIC SENSING TRANSF DVR

7

TMP236EVM

TMP236EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

1

CC2650STK

CC2650STK

Texas Instruments

BLUETOOTH SENSOR TAG

277

FDC2214PROXSEN-EVM

FDC2214PROXSEN-EVM

Texas Instruments

DEV KIT PROXIMITY AND CAP TOUCH

1

HDC1050EVM

HDC1050EVM

Texas Instruments

EVAL MODULE FOR HDC1050

9

DRV5055-ANGLE-EVM

DRV5055-ANGLE-EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

3

TMP116EVM

TMP116EVM

Texas Instruments

EVAL MODULE

1

LDC1312EVM

LDC1312EVM

Texas Instruments

EVAL MODULE FOR LDC1312

2

HALL-ADAPTER-EVM

HALL-ADAPTER-EVM

Texas Instruments

SOT23 TO92 HALL SENSOR BARE BRD

13

FDC1004EVM

FDC1004EVM

Texas Instruments

EVAL BOARD FOR FDC1004

13

LM26LVEVM

LM26LVEVM

Texas Instruments

EVALUATION MODULE

8

TMP144EVM

TMP144EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

2

LMT84-7EVM

LMT84-7EVM

Texas Instruments

EVAL MODULE FOR LMT84-7

8

LM26EVAL-XPA

LM26EVAL-XPA

Texas Instruments

BOARD EVALUATION LM26CIM5-XPA

1

TMP451EVM

TMP451EVM

Texas Instruments

EVAL MODULE FOR TMP451

2

OPT3001EVM

OPT3001EVM

Texas Instruments

EVAL BOARD FOR OPT3001

9

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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