Description:
Complete Specification:
The following specification describes and ascertains the nature of this invention and the manner in which it is to be performed.

Field of the invention
[0001] The present disclosure relates to an apparatus and a method for controlling power state of a mobile device such as laptop, mobile phone, etc.
Background of the invention
[0002] Power consumption is an important challenge in using the mobile electronic devices such as laptop, mobile phone, etc. Different strategies are being used by the corporations to optimize the power efficiency of the mobile electronic devices.
[0003] US2021255686 – discloses a method and system for managing power states transitions of a portable electronic device. A gesture recognition module recursively checks the variation between ‘flat’ and ‘not flat’ states. The module calculates the mean value of acceleration along the 3 axes to detect if the device is in a flat state. This attempts to understand the angle that the base of the laptop is making with the surface it is being kept on
Brief Disclosure of the Invention
[0004] The invention discloses a power control apparatus for a mobile device. The power control apparatus comprises an acceleration sensor and a controller. The acceleration sensor measures vibration generated due to movement of the mobile device and outputs a vibration measurement signal. The controller is configured to detect insertion condition of the mobile device inside a storage compartment based on the vibration measurement signal. The controller varies a power state of the mobile device upon detecting the insertion condition of the mobile device inside the storage compartment. Examples of the mobile device, includes but not limited to, a laptop computer, a palmtop computer, a mobile phone, a personal electronic device, and a personal digital assistant. The controller employs a Machine Learning (ML) model built using vibration measurement signals generated due to different movements and different positions of the mobile device, while inserting the mobile device inside the storage compartment.
[0005] The controller detects the insertion condition of the mobile device inside the storage compartment using the ML model. The controller varies the power state of the mobile device to a very low power state upon detecting the insertion condition of the mobile device inside the storage compartment. Examples of the storage compartment, include but not limited to, a bag, a briefcase, a suitcase, a pocket, a cabinet, and a pouch.
[0006] The invention discloses a method for controlling a power state of a mobile device. The method involves measuring vibration generated due to movement of the mobile device by an acceleration sensor and outputting a vibration measurement signal. Insertion condition of the mobile device inside a storage compartment is detected by a controller based on the vibration measurement signal. Power state of the mobile device is varied by the controller upon detecting the insertion condition of the mobile device inside the storage compartment.
[0007] The insertion condition of the mobile device in the storage compartment is detected using a Machine Learning (ML) model. The ML model is built using vibration measurement signal generated due to different movements and positions of the mobile device, while inserting the mobile device inside the storage compartment. The power state of the mobile device is changed to a very low power state upon detecting the insertion condition of the mobile device inside the storage compartment.

Brief description of the drawings
[0008] An embodiment of the disclosure is described with reference to the following accompanying drawing.
[0009] Fig. 1 shows a schematic block diagram of a power control apparatus for a mobile device, according to an embodiment of the present invention.
[0010] Fig. 2a-2c show schematic views illustrating insertion condition of a mobile device in a storage compartment, according to an embodiment of the present invention.
[0011] Fig. 3a-3c show different graphs illustrating vibration measurement signals generated during different kinds of insertions of a mobile device in a bag, according to an embodiment of the present invention.
[0012] Fig. 4 shows a flow chart of a power control method for a mobile device, according to an embodiment of the present invention.
Detailed description of the drawings
[0013] Fig. 1 shows a schematic block diagram of a power control apparatus for a mobile device, according to an embodiment of the present invention. The power control apparatus 100 comprises an acceleration sensor 10 and a controller 20. The power control apparatus 100 can be part of the mobile device 200 such as a laptop, a palmtop, a Personal Digital Assistant (PDA), a mobile phone, any personal electronic device etc. The power control apparatus 100 may be in the form of a chip which can be suitably mounted to the mother board of the mobile device 200. Examples of the acceleration sensor 10, can include, but not limited to, different kinds of acceleration sensors such as piezoelectric, piezo-resist, capacitive or MEMS type acceleration sensors, etc. The acceleration sensor 10 may be an integral part the mobile device 100 itself.
[0014] The acceleration sensor 10 measures vibration generated due to movement of the mobile device 200 and outputs a vibration measurement signal. The vibration measurement signal may be generated along the 3 axes. In an embodiment of the invention, existing acceleration sensor 10 inside the mobile device 200 measures the vibration and outputs a vibration measurement signal.
[0015] The controller 20 receives and analyzes the vibration measurement signal, based on which the controller 20 detects insertion condition of the mobile device 200 inside a storage compartment. Examples of the storage compartment 50, include but not limited to, a bag, a briefcase, a suitcase, a pocket, a cabinet, and a pouch.
[0016] Fig. 2a-2c show schematic views illustrating insertion condition of a mobile device in a storage compartment, according to an embodiment of the present invention. Fig. 2a1, 2a2 depict a scenario of inserting a laptop into a bag, when bag is kept vertically on table. Fig. 2b depicts insertion of a laptop into a bag, where bag is kept horizontally on table. Fig. 2c depicts insertion of a laptop into a bag where the bag is kept 45 degrees inclined on a table.
[0017] The controller 20 varies a power state of the mobile device 200 upon detecting the insertion condition of the mobile device 200 inside the storage compartment 50. The controller 20 employs an Artificial Intelligent (AI) model which is built using vibration measurement signals generated due to different movements and different positions of the mobile device 200, while inserting the mobile device 200 inside the storage compartment 50.
[0018] Fig. 3a-3c show different graphs illustrating feature values of vibration measurement signals indicating different kinds of insertions of a mobile device in a bag, according to an embodiment of the present invention. More specifically, Fig. 3a depicts a graph showing vibration measurement signals generated during a scenario of inserting a laptop into a bag, when bag is kept vertically on table. Fig. 3b depicts a graph showing vibration measurement signals generated during insertion of a laptop into a bag, where bag is kept horizontally on table. Fig. 3c depicts a graph showing vibration measurement signals generated during insertion of a laptop into a bag where the bag is kept 45 degree inclined on a table. It is to be noted that these figures show only few examples, which may not be construed in a limiting manner. There are various possible steps and positions possible while inserting the mobile device 200 inside the storage compartment 50 and the corresponding vibration measurement signals are captured and used for building the ML model. The ML model can be a Deep Learning (DL) model.
[0019] Various such vibration measurement signals with feature values generated during different positions, and postures while inserting the mobile device 200 inside a storage compartment 50 are captured, analyzed and used to build the ML model. The controller 20 detects the insertion condition of the mobile device 200 inside the storage compartment 50 using the ML model. The controller 20 varies the power state of the mobile device 200 to a very low power state upon detecting the insertion condition of the mobile device 200 inside the storage compartment 50. For instance, the controller 20 may close the applications opened in the mobile device 200, turn off the WiFi, switch to low brightness mode or even switch off the mobile device 200. The controller 20 waits for a threshold period after detecting the insertion condition of the mobile device 200 into the storage compartment 50, before switching to a low power state. This avoids frequent switching of power states and thereby improves power conservation and user’s convenience.
[0020] Since different types of insertion of mobile device inside a storage compartment can be detected precisely, automatic switching to low power mode during non-use time can be achieved, thereby power saving is improved.
[0021] Fig. 4 shows a flow chart of a power control method for a mobile device, according to an embodiment of the present invention. The method involves measuring vibration generated due to movement of the mobile device 200 by an acceleration sensor 10 and outputting a vibration measurement signal at step 400. The acceleration sensor 10 may be a part of the mobile device 200 itself.
[0022] At step 410, insertion condition of the mobile device 200 inside a storage compartment 50 is detected by a controller 20 based on the vibration measurement signal. When there is a transition in the mobile device 200, it is recognized by the controller based on the signal from the acceleration sensor 10. Upon analyzing the vibration measurement signal, the controller 20 checks if the mobile device 200 is being inserted in a storage compartment 50. At step 420, power state of the mobile device 200 is varied by the controller 20 upon detecting the insertion condition of the mobile device inside the storage compartment 50.
[0023] The insertion condition of the mobile device 200 in the storage compartment 50 is detected using a Machine Learning (ML) model. The ML model is built using vibration measurement signal generated due to different movements and positions of the mobile device 200, while inserting the mobile device 200 inside the storage compartment 50. The power state of the mobile device 50 is changed to a very low power state upon detecting the insertion condition of the mobile device 200 inside the storage compartment 50. The controller 20 waits for a threshold period after detecting the insertion condition of the mobile device 200 into the storage compartment 50, before switching to a low power state. This is done to avoid hasty decision and wrong switching of power state
[0024] The present invention does not use any extra sensors like light sensor to detect the insertion of the mobile device into the storage compartment or bag. Thereby cost is reduced. Further, various ways of keeping the mobile device in the storage compartment is analyzed and used for building the ML model. Hence accuracy of the detecting the insertion condition of the mobile device in the storage compartment is improved.
[0025] It must be understood that the embodiments explained in the above detailed description are only illustrative and do not limit the scope of this invention. Any modification to the vandalism detection system using microphone and camera having artificial intelligence model and the method thereof are envisaged and form a part of this invention. The scope of this invention is limited only by the claims.
, Claims:We claim: -

1. A power control apparatus (100) for a mobile device (200), said power control apparatus (100) comprises an acceleration sensor (10) and a controller (20), characterized in that,
- said acceleration sensor (10) measures vibration generated due to movement of said mobile device (200) and outputs a vibration measurement signal;
- said controller (20) is configured to
- detect insertion condition of said mobile device (200) inside a storage compartment (50) based on said vibration measurement signal; and
- vary a power state of said mobile device (200) upon detecting the insertion condition of said mobile device (200) inside said storage compartment (50).
2. The power control apparatus (100) as claimed in claim 1, wherein said mobile device (200) is at least one of a laptop computer, a palmtop computer, a mobile phone, a personal electronic device, and a personal digital assistant.
3. The power control apparatus (100) as claimed in claim 1, said controller (20) employs a Machine Learning (ML) model built using vibration measurement signals generated due to different movements and different positions of said mobile device (200) while inserting said mobile device (200) inside said storage compartment (50).
4. The power control apparatus (100) as claimed in claim 3, wherein said controller (20) detects the insertion condition of said mobile device (200) inside said storage compartment (50) using said ML model.
5. The power control apparatus (100) as claimed in claim 3, said controller (20) analyzes said vibration measurement signals for a specific period for confirming the insertion condition of said mobile device (200) inside said storage compartment (50).
6. The power control apparatus (100) as claimed in claim 1, wherein said storage compartment (50) is at least one of a bag, a brief case, a suit case, a pocket, a cabinet, and a pouch.
7. The power control apparatus (100) as claimed in claim 1, wherein said controller (20) varies said power state of said mobile device (200) to a very low power state upon detecting the insertion condition of said mobile device (200) inside said storage compartment (50).
8. A method for controlling a power state of a mobile device (200), said mobile device (200) comprises an acceleration sensor (10) and a controller (20), said method comprises the steps of:-
- measuring vibration generated due to movement of said mobile device (200) by an acceleration sensor (10) and outputting a vibration measurement signal (400), characterized in said method,
- detecting insertion condition of said mobile device (200) inside a storage compartment (50) based on said vibration measurement signal by a controller (20)(410); and
- varying a power state of said mobile device (200) by said controller (20) upon detecting the insertion condition of said mobile device (200) inside said storage compartment (50) (420).
9. The method as claimed in claim 7, wherein said insertion condition of said mobile device (200) in said storage compartment (50) is detected using a Machine Learning (ML) model
10. The method as claimed in claim 7, wherein said ML model is built using vibration measurement signal generated due to different movements and positions of said mobile device (200), while inserting said mobile device (200) inside said storage compartment (50).
11. The method as claimed in claim 7, wherein the insertion condition of said mobile device (200) inside said storage compartment (50) is confirmed after analyzing said vibration measurement signals for a specific period.
12. The method as claimed in claim 7, wherein said power state of said mobile device (200) is changed to a very low power state upon detecting the insertion condition of said mobile device (200) inside said storage compartment (50).