![MMA6821BKWR2 Allicdata Electronics](https://files.allicdata.com/upload/common/default.jpg)
Allicdata Part #: | MMA6821BKWR2-ND |
Manufacturer Part#: |
MMA6821BKWR2 |
Price: | $ 0.00 |
Product Category: | Sensors, Transducers |
Manufacturer: | NXP USA Inc |
Short Description: | ACCELEROMETER 120G/25GSPI 16QFN |
More Detail: | Accelerometer X, Y Axis ±120g, ±25g 16-QFN (6x6) |
DataSheet: | ![]() |
Quantity: | 1000 |
1 +: | 0.00000 |
Series: | Automotive, AEC-Q100 |
Packaging: | Tape & Reel (TR) |
Part Status: | Obsolete |
Type: | Digital |
Axis: | X, Y |
Acceleration Range: | ±120g, ±25g |
Sensitivity (LSB/g): | 4.096 (X), 20.479 (Y) |
Sensitivity (mV/g): | -- |
Bandwidth: | -- |
Output Type: | SPI |
Voltage - Supply: | 3.135 V ~ 5.25 V |
Features: | -- |
Operating Temperature: | -40°C ~ 105°C |
Mounting Type: | Surface Mount |
Package / Case: | 16-QFN Exposed Pad |
Supplier Device Package: | 16-QFN (6x6) |
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Motion Sensors - Accelerometers
Accelerometers measure physical quantities such as linear acceleration, angular velocity, vibrations, and forces. They are commonly used by automotive industry, robotics, biomechanics, graphic processing units, and control system industries, as well as by consumer electronics. They also find applications in vibration analysis, monitoring of machineries, accelerative gesture recognition, human movements, gaming, navigation, and health-care.
The MMA6821BKWR2 is a MEMS motion sensor specifically designed for measuring acceleration and force along its three perpendicular axes. It can measure both static and dynamic acceleration. The sensor consists of a 3-axis sensing element which has the capability to sense acceleration up to a maximum of ±2g linear acceleration along each of these axes. It features an auto-zero function that supports ultra-low power consumption mode and a best-in-class on-axis linearity. The output of the MMA6821BKWR2 is a serial data stream, with raw acceleration measurements and temperature readings for the three axes along with timestamp data. Data can be acquired from the sensor using I2C, UART or SPI communication protocols. It supports a wide voltage range from 1.71 V to 5.5 V.
The working principle of the sensor is based on its capacitive MEMS sensing architecture. The sensing element comprises of separate sets of accelerometers for each of the three axes arranged in a Wheatstone bridge configuration. All three sets are mounted on the same silicon die and together they detect acceleration (force) in three orthogonal directions. The differential sensing elements measure the variation of capacitance between the plates which is equal to the acceleration or force generated by a moving mass, and the state of the Wheatstone bridge is captured by the sensor’s analog front-end circuitry. The analog output of the sensor is converted to digital values by the internal ADC and then sent out over an interface. The output of the sensor can then be further processed by the external microprocessor.
The features of the MMA6821BKWR2 make it an ideal choice for applications requiring a low power, high-accuracy motion sensor with a high-resolution digitized output. It is suitable for use in portable devices such as smartphones, tablets, and wearables, as well as in industrial automation and medical equipment. It is also an excellent sensor for measuring acceleration due to vibration and shocks, useful in automotive, aerospace, and vibration measurement applications. Due to its tiny size, ease of use, and low power requirements, it is also well-suited for the development of educational modules, toys, robots, consumer electronics, and motion-enabled devices.
In summary, the MMA6821BKWR2 is a low-cost, low-power, high-precision motion sensor designed to measure acceleration along its three axes. It is capable of measuring both static and dynamic acceleration, and offers a wide voltage range, an on-axis linearity of up to ±2g, and an auto-zero function for ultra-low power consumption. Its tiny size, ease of use, and wide range of connectivity options make it an ideal choice for a variety of low-power applications, particularly in consumer electronics, robotics, industrial automation, and medical devices.
The specific data is subject to PDF, and the above content is for reference
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