Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
OPENIMU300ZI EVK

OPENIMU300ZI EVK

Aceinna Inc.

EVAL BOARD FOR OPENIMU300ZI

4

OPENIMU330BI EVK

OPENIMU330BI EVK

Aceinna Inc.

EVAL BOARD FOR OPENIMU330BI

5

EVBMCR1101-50-3

EVBMCR1101-50-3

Aceinna Inc.

EVAL BOARD FOR MCR1101-50-3

0

EVBMCA1101-05-5

EVBMCA1101-05-5

Aceinna Inc.

EVAL BOARD FOR MCA1101-05-5

12

EVBMCA1101-50-5

EVBMCA1101-50-5

Aceinna Inc.

EVAL BOARD FOR MCA1101-50-5

15

EVBMCA1101-20-5

EVBMCA1101-20-5

Aceinna Inc.

EVAL BOARD FOR MCA1101-20-5

15

EVBMCR1101-50-5

EVBMCR1101-50-5

Aceinna Inc.

EVAL BOARD FOR MCR1101-50-5

0

EVBMCA1101-05-3

EVBMCA1101-05-3

Aceinna Inc.

EVAL BOARD FOR MCA1101-05-3

5

EVBMCA1101-50-3

EVBMCA1101-50-3

Aceinna Inc.

EVAL BOARD FOR MCA1101-50-3

5

EVBMCR1101-20-5

EVBMCR1101-20-5

Aceinna Inc.

EVAL BOARD FOR MCR1101-20-5

0

EVBMCR1101-05-5

EVBMCR1101-05-5

Aceinna Inc.

EVAL BOARD FOR MCR1101-05-5

0

EVBMCA1101-20-3

EVBMCA1101-20-3

Aceinna Inc.

EVAL BOARD FOR MCA1101-20-3

5

EVBMCR1101-20-3

EVBMCR1101-20-3

Aceinna Inc.

EVAL BOARD FOR MCR1101-20-3

0

OPENIMU300RI EVK

OPENIMU300RI EVK

Aceinna Inc.

EVAL BOARD FOR OPENIMU300RI

2

EVBMCR1101-05-3

EVBMCR1101-05-3

Aceinna Inc.

EVAL BOARD FOR MCR1101-05-3

0

EVAL-KIT DMU380ZA-200

EVAL-KIT DMU380ZA-200

Aceinna Inc.

BOARD KIT CBL CD AHRS380ZA-200

0

EVAL KIT DMU280ZA-200

EVAL KIT DMU280ZA-200

Aceinna Inc.

BOARD KIT CBL CD AHRS280ZA-200

0

EVAL-KIT DMU380ZA-400

EVAL-KIT DMU380ZA-400

Aceinna Inc.

BOARD KIT CBL CD AHRS380ZA-400

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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