Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
DLPNIRSCANEVM

DLPNIRSCANEVM

Texas Instruments

EVAL NEAR-INFRARED SPECTROMETER

1

HDC2080EVM

HDC2080EVM

Texas Instruments

DEVELOPMENT INTERFACE

7

HDC1080EVM

HDC1080EVM

Texas Instruments

EVAL BOARD FOR HDC1080

4

ADS1118EVM

ADS1118EVM

Texas Instruments

EVAL MODULE FOR ADS1118

3

CC1350STKEU

CC1350STKEU

Texas Instruments

SIMPLELINK CC1350 SENSORTAG BLUE

41

LM26EVM

LM26EVM

Texas Instruments

EVALUATION MODULE

3

DRV421EVM

DRV421EVM

Texas Instruments

EVAL MODULE DRV421

3

TMP104EVM

TMP104EVM

Texas Instruments

EVAL MODULE FOR TMP104

4

FDC2214EVM

FDC2214EVM

Texas Instruments

EVAL BOARD FOR FDC2214

174

LDC1314KEYPAD-EVM

LDC1314KEYPAD-EVM

Texas Instruments

EVALUATION MODULE

3

DRV425-BUSBAR-EVM

DRV425-BUSBAR-EVM

Texas Instruments

DRV425-BUSBAR-EVM

4

DRV5055-5057EVM

DRV5055-5057EVM

Texas Instruments

HALL EFFECT SENSOR

1

LM9402XEVM

LM9402XEVM

Texas Instruments

EVAL MODULE FOR LM9402

1

LM64EVAL

LM64EVAL

Texas Instruments

BOARD EVALUATION LM64

3

CC1350STKUS

CC1350STKUS

Texas Instruments

SIMPLELINK CC1350 SENSORTAG BLUE

9

TMP103EVM

TMP103EVM

Texas Instruments

EVAL MODULE FOR TMP103

2

LDC1612EVM

LDC1612EVM

Texas Instruments

EVAL MODULE FOR LDC1612

9

TSC2007EVM

TSC2007EVM

Texas Instruments

TSC2007EVM

0

OPT3004EVM

OPT3004EVM

Texas Instruments

DEVELOPMENT SPECIALIZED

11

TMCS1107EVM

TMCS1107EVM

Texas Instruments

TMCS1107 ISOLATED HALL-EFFECT CU

3

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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