Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
CC2541DK-SENSOR

CC2541DK-SENSOR

Texas Instruments

RF BLUETOOTH SMART DEV KIT

0

TMP006EVM

TMP006EVM

Texas Instruments

EVAL MODULE FOR TMP006

0

TMP100EVM

TMP100EVM

Texas Instruments

EVALUATION MODULE FOR TMP100

0

LDC1000QEVM

LDC1000QEVM

Texas Instruments

EVAL BOARD FOR LDC1000Q

0

TMCS1100EVM

TMCS1100EVM

Texas Instruments

TMCS1100 EVM

0

TMDXBDKFP5515

TMDXBDKFP5515

Texas Instruments

KIT DEV FINGERPRINT C5515

0

LM95071EVAL/NOPB

LM95071EVAL/NOPB

Texas Instruments

BOARD EVALUATION LM95071

0

430BOOST-ADS1118

430BOOST-ADS1118

Texas Instruments

BOOSTER PACK ADS1118

0

TMP102EVM

TMP102EVM

Texas Instruments

EVAL MODULE FOR TMP102

0

TMDXMDKDS3254

TMDXMDKDS3254

Texas Instruments

MOD DS AFE FOR C5505 MD KIT

0

LM57B10EB/NOPB

LM57B10EB/NOPB

Texas Instruments

EVAL BOARD FOR LM57

0

LDC1051EVM

LDC1051EVM

Texas Instruments

EVAL BOARD INDUCTIVE TO DGTL

0

AMC6821EVM

AMC6821EVM

Texas Instruments

EVAL MODULE FOR AMC6821

0

LM26LVEB/NOPB

LM26LVEB/NOPB

Texas Instruments

BOARD EVAL FOR LM26LV

0

LM99EVAL/NOPB

LM99EVAL/NOPB

Texas Instruments

EVALUATION BOARD FOR LM99

0

TMCS1101EVM

TMCS1101EVM

Texas Instruments

TMCS1101 EVM

0

LM99EVAL

LM99EVAL

Texas Instruments

BOARD EVALUATION LM99

0

LM95221EVAL

LM95221EVAL

Texas Instruments

BOARD EVALUATION LM95221

0

LM84EVAL

LM84EVAL

Texas Instruments

EVALUATION BOARD FOR LM84

0

LM89-1EVAL

LM89-1EVAL

Texas Instruments

BOARD EVALUATION LM89-1

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.

RFQ BOM Call Skype Email
Top