Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
SI7054-EVB

SI7054-EVB

Silicon Labs

EVAL BOARD FOR SI7054

1

F990SLIDEREK

F990SLIDEREK

Silicon Labs

EVAL CAPACITIVE TOUCH SLIDER

0

SLEXP8008A

SLEXP8008A

Silicon Labs

CAP SENSE EVAL BOARD

11

SI7013EVB-UDP-M3L1

SI7013EVB-UDP-M3L1

Silicon Labs

KIT DEMO LOG SIM3L1XX+SI7013

1

IRSLIDER2EK

IRSLIDER2EK

Silicon Labs

BOARD EVAL IR SLIDER SI1142

2

SI7005EVB-UDP

SI7005EVB-UDP

Silicon Labs

BOARD UDP PLUG-IN CARD SI7005

2

SI7050-EVB

SI7050-EVB

Silicon Labs

EVAL BOARD FOR SI7050

1

SI7051-EVB

SI7051-EVB

Silicon Labs

EVALUALTION BOARD FOR SI7051

9

SI7013EVB-UDP

SI7013EVB-UDP

Silicon Labs

BOARD UDP PLUG-IN CARD SI7013

0

HRM43-GGG-PS

HRM43-GGG-PS

Silicon Labs

SI1143 HRM EVAL KIT

0

SI7005-EVB

SI7005-EVB

Silicon Labs

BOARD DAUGHTER SI7005

0

SI7034-EVB

SI7034-EVB

Silicon Labs

EVALUATION BOARD SI7034

1

SI1102EK

SI1102EK

Silicon Labs

BOARD EVAL FOR SI1102

4

SI1140DK

SI1140DK

Silicon Labs

BOARD EVAL SI1143-A10-GM

1

FRONTPANEL2EK

FRONTPANEL2EK

Silicon Labs

BOARD EVAL PROXIMITY F8XX SI1120

1

IRMFB-EK

IRMFB-EK

Silicon Labs

EVAL KIT FOR SI114X

2

SI1147-M01-EVB

SI1147-M01-EVB

Silicon Labs

BOARD EVAL FOR SI1147-M01

0

SI72XX-EVAL-KIT

SI72XX-EVAL-KIT

Silicon Labs

SI72XX HALL EFFECT MAGNETIC SENS

23

SI7057-EVB

SI7057-EVB

Silicon Labs

SI7057 EVALUATION BOARD

22

SI7013EVB-UDP-F960

SI7013EVB-UDP-F960

Silicon Labs

KIT DEMO LOG C8051F960+SI7013

1

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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