# Features
Source: [https://docs.qualcomm.com/doc/80-70015-7/topic/supported_features.html](https://docs.qualcomm.com/doc/80-70015-7/topic/supported_features.html)
The following table lists the QSH features and their impact on the QSH for deployment in
scenarios with IoT devices:
Table : QSH features
| Feature | Enable or disable? | Impact | Description |
| --- | --- | --- | --- |
| OS and hardware-independent | This feature is for information purposes only. |
- Development is easy.
- Plug and play of QSH-compliant sensors across the targets.
|
- QSH drivers or algorithms are compliant across Qualcomm® Snapdragon
platforms.
- APIs are generic, and abstract the underlying OS.
|
| Sensors in local memory | This feature can be enabled or disabled. |
- Saves power by enabling the local memory.
- Due to the limited local memory, only finite sensors can be fitted in
here.
|
- Enables QSH to operate in ultralow power mode, meeting the low-power
requirements of the industry.
- Suitable for background use cases.
|
| Sensors in Normal mode | Sensors can be configured to use either local or main memory. |
- More memory and more on-chip resources are available.
- Higher power consumption due to more on-chip resources being active.
|
- Access to the larger main memory allows integration of more sensors.
- Supports cycle-intensive operations.
|
| Factory calibration | Sensor calibration is enabled using the available test tools. | Improved sensor accuracy. |
- QSH supports calibration for hardware-based sensors.
- Calibration standardizes equipment for precise results, which ensures that the
sensor values match the baseline.
- Recalibration maintains sensor accuracy and adjusts for sensitivity changes
over time.
- For more information, see Calibrate.
|
| Software-based sensors | These features can be enabled or disabled. | Includes device motion, activity, and device physical position sensors. |
- These sensors are a set of software algorithms.
- Enables device motion using significant motion.
- Supports device positioning and direction using linear acceleration, gravity,
geomagnetic rotation vector, and rotation vector.
- Step counter, step detector, and activity recognition help identify user
activities.
For more information, see [Software-based sensors](https://docs.qualcomm.com/doc/80-70015-7/topic/overview.html#Sensors_Overview_1__table_ss3_fgb_s1c_monicapa_03-11-24-712-10-126). |
Last Published: Oct 14, 2024
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