Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
TMP708EVM

TMP708EVM

Texas Instruments

EVAL MODULE FOR TMP708

6

TMP392EVM

TMP392EVM

Texas Instruments

TMP392 TEMPERATURE SWITCH EVM

10

DRV5055EVM

DRV5055EVM

Texas Instruments

EVAL MODULE FOR DRV5055

4

TMAG5123EVM

TMAG5123EVM

Texas Instruments

TMAG5123 IN-PLANE HIGH-PRECISION

6

HDC2010METER-EVM

HDC2010METER-EVM

Texas Instruments

DEVELOPMENT INTERFACE

2

TMCS1108EVM

TMCS1108EVM

Texas Instruments

TMCS1108 ISOLATED HALL-EFFECT CU

6

TMP6EVM

TMP6EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

9

TMP9A00-EP-EVM

TMP9A00-EP-EVM

Texas Instruments

TMP9A00-EP LOW POWER, PRECISION

5

TPS8804EVM

TPS8804EVM

Texas Instruments

TPS88004 EVM

5

CAPTIVATE-EMC

CAPTIVATE-EMC

Texas Instruments

EVAL BOARD

1

LMT01EVM-CVAL

LMT01EVM-CVAL

Texas Instruments

TEMP SENSOR

1

TMAG5124EVM

TMAG5124EVM

Texas Instruments

TMAG5124 2-WIRE HALL EFFECT SWIT

6

LM95235EVAL/NOPB

LM95235EVAL/NOPB

Texas Instruments

BOARD EVALUATION LM95235

0

AMC6821EVM-PDK

AMC6821EVM-PDK

Texas Instruments

EVAL MODULE PLATFORM AMC6821

0

LM86EVAL/NOPB

LM86EVAL/NOPB

Texas Instruments

BOARD EVALUATION LM86

0

TMDXMDKEK1258

TMDXMDKEK1258

Texas Instruments

MOD ECG AFE FOR C5505 ECG MD KIT

0

TSC2117EVM-K

TSC2117EVM-K

Texas Instruments

EVAL MODULE FOR TSC2117-K

0

LM26LVEB

LM26LVEB

Texas Instruments

BOARD EVAL TEMP SWITCH/SENSOR

0

OPT8241-CDK-EVM

OPT8241-CDK-EVM

Texas Instruments

EVALUATION MODULE

0

TMDXMDKPO8328

TMDXMDKPO8328

Texas Instruments

MOD PO AFE FOR C5505 PO MD KIT

0

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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