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IIS2ICLX 데이터시트(PDF) 6 Page - STMicroelectronics

부품명 IIS2ICLX
상세설명  High-accuracy, high-resolution, low-power, 2-axis digital inclinometer with embedded machine learning core
PDF  119 Pages
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제조업체  STMICROELECTRONICS [STMicroelectronics]
홈페이지  http://www.st.com
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IIS2ICLX 데이터시트(HTML) 6 Page - STMicroelectronics

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2.2
Machine learning core
The IIS2ICLX embeds a dedicated core for machine learning processing that provides system flexibility, allowing
some algorithms run in the application processor to be moved to the MEMS sensor with the advantage of
consistent reduction in power consumption.
Machine learning core logic allows identifying if a data pattern (for example motion, pressure, temperature,
magnetic data, and so forth) matches a user-defined set of classes. Typical examples of applications could be
anomalous vibration recognition, complex movement, or condition identification, activity detection, and so forth.
The IIS2ICLX machine learning core works on data patterns coming from the accelerometer, but it is also possible
to connect and process external sensor data (from a gyroscope or additional external inclinometer/accelerometer,
temperature or pressure sensors) by using the sensor hub feature (mode 2).
The input data can be filtered using a dedicated configurable computation block containing filters and features
computed in a fixed time window defined by the user.
Machine learning processing is based on logical processing composed of a series of configurable nodes
characterized by "if-then-else" conditions where the "feature" values are evaluated against defined thresholds.
Figure 3. Machine learning core in the IIS2ICLX
INPUT
Sensor Data & Hub
Machine
Learning Core
OUTPUT
Accelerometer
Results
External Sensor
Features
Filters
Interrupts
Machine
Learning Core
Logical processing
The IIS2ICLX can be configured to run up to 8 flows simultaneously and independently and every flow can
generate up to 256 results. The total number of nodes can be up to 512.
The results of the machine learning processing are available in dedicated output registers readable from the
application processor at any time.
The IIS2ICLX machine learning core can be configured to generate an interrupt when a change in the result
occurs.
IIS2ICLX
Machine learning core
DS13005 - Rev 7
page 6/119



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