Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
LM95213EB/NOPB

LM95213EB/NOPB

Texas Instruments

BOARD EVALUATION FOR LM95213

0

AMC1210EVM

AMC1210EVM

Texas Instruments

MODULE EVAL FOR AMC1210

0

HPA01108AIYZFR

HPA01108AIYZFR

Texas Instruments

THERMOPILE SENSOR IN CHIP-SCALE

0

LM20C-EVAL

LM20C-EVAL

Texas Instruments

EVALUATION BOARD FOR LM20C

0

LM96000EVAL/NOPB

LM96000EVAL/NOPB

Texas Instruments

BOARD EVALUATION LM96000

0

LM73EVAL

LM73EVAL

Texas Instruments

BOARD EVALUATION FOR LM73

0

LM94021EVAL

LM94021EVAL

Texas Instruments

BOARD EVALUATION LM94021

0

LM95172EWGEB

LM95172EWGEB

Texas Instruments

BOARD EVAL FOR LM95172

0

LM20S-EVAL

LM20S-EVAL

Texas Instruments

EVALUATION BOARD FOR LM20S

0

LM95241EB

LM95241EB

Texas Instruments

BOARD EVALUATION LM95241

0

LM99-1EVAL

LM99-1EVAL

Texas Instruments

BOARD EVALUATION LM99-1

0

LM99-1EVAL/NOPB

LM99-1EVAL/NOPB

Texas Instruments

BOARD EVALUATION LM99-1

0

LM89EVAL

LM89EVAL

Texas Instruments

BOARD EVALUATION LM89

0

LM95214EB/NOPB

LM95214EB/NOPB

Texas Instruments

BOARD EVALUATION FOR LM95214

0

TMP122EVM

TMP122EVM

Texas Instruments

EVALUATION MODULE FOR TMP122

0

LM95234EB/NOPB

LM95234EB/NOPB

Texas Instruments

BOARD EVALUATION FOR LM95234

0

LM95010EVAL

LM95010EVAL

Texas Instruments

BOARD EVALUATION LM95010

0

LM32EVAL

LM32EVAL

Texas Instruments

BOARD EVALUATION LM32

0

LM94023EB/NOPB

LM94023EB/NOPB

Texas Instruments

EVAL BOARD FOR LM94023

0

LM90EVAL

LM90EVAL

Texas Instruments

BOARD EVALUATION LM90

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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