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KXD94-2812
(Coming Soon) Tri-Axis, 5g - 15g, Low Power Analog, 5x5x1.2mm DFN - KXD94-2812

The KXD94 is an ultra-low noise analog tri-axis accelerometer with an integrated 4-channel multiplexer and an auxiliary analog input. It features g-range of ±5 to ±13g and comes in a 5 x 5 x 1.2 mm, 14-pin, DFN package with an operating temperature range of -40°C to +85°C. The KXD94 operates from a 2.5 V to 5.25 V DC supply.

FEATURES:

  • Integrated 4-channel multiplexer with 5µs settling time
  • Factory-programmable
  • Factory-programmable, internal low-pass filter
  • Supply voltage range: 2.5 V to 5.25 V
  • Current consumption: 5 µA in standby and 1.50 mA at full power
  • Multiplexed analog output
  • Auxiliary input to multiplexer
  • Embedded features
  • Self-test function
  • RoHS compliant

Highlights

  • Our highest g-range device
  • Ultra low noise
  • Excellent for vibration sensing
  • Successfully Utilized in Multiple Automotive and Consumer Applications

Product Specifications

Axis G Range Sensitivity Noise (µg/√Hz) Resolution Package Size Pins Package Type Interface Output Wakeup Operating Temperature (Min.)[°C] Operating Temperature (Max.)[°C] Supply Voltage [V] Current Consumption
3 10g 200, (mV/g) 100 8-bit, 12-bit 5x5x1.2mm 14-pin DFN Multiplexed Analog No -40 85 5 0.90 - 1.50 mA

EVALUATION BOARDS

PART NUMBER BUY NOW DESCRIPTION DOCUMENTATION
EVAL-KXD94-2812 Cart KXD94-2802 Evaluation Board Board Layout
Board Schematic

Developer Tools

Buy Now Description
IoT Evaluation and Development Kit Cart Kionix's IoT evaluation kit utilizes hardware platform based on Nordic Semiconductor's Bluetooth LE SoC. The compact (27/32mm x 4.2mm), highly integrated modular sensor system integrates Kionix's accelerometer (KX122-1037), combo accel-mag (KMX62-1031), and combo accel-gyro (KXG07) sensors along with ROHM's barometric pressure sensor (BM1383AGLV). Additional sensors can be evaluated using the add-on board that can fit inside the kit. This enables measurement of 3D acceleration, 3D magnetism, 3D rotation, air pressure, and temperature, making it ideal for training, prototyping, and initial set development of IoT and wearable applications.