Patent
System and method for managing safety and compliance for electric bikes using artificial intelligence (AI)
| العنوان: | System and method for managing safety and compliance for electric bikes using artificial intelligence (AI) |
|---|---|
| Patent Number: | 11912,369 |
| تاريخ النشر: | February 27, 2024 |
| Appl. No: | 17/501674 |
| Application Filed: | October 14, 2021 |
| مستخلص: | The disclosure relates to an electric bike controlled using Artificial Intelligence (AI). The electric bike includes a mobile mount that is configured to receive a mobile device. A controller is configured to capture user information via a front camera. Further, sensors configured in the mobile device and the electric bike capture sensor information associated with the electric bike. The electric bike includes a rear camera to capture path information associated with a path being used to ride the electric bike. A first mobile application converts each of user information, sensor information, and path information into corresponding information states and determines whether these information states are deviating from associated predefined thresholds. In response to determining a deviation an alert signal is generated and a deactivating signal is transmitted to the controller to progressively curtail one functioning of the electric bike. |
| Inventors: | Trehan, Rajiv (Bangkok, TH) |
| Assignees: | Trehan, Rajiv (Bangkok, TH) |
| Claim: | 1. An electric bike controlled using Artificial Intelligence (AI), the electric bike comprising: a motor; a rechargeable battery coupled to the motor, wherein the rechargeable battery is configured to power the motor; a controller communicatively coupled to the motor and the rechargeable battery; and a mobile mount configured to: receive a mobile device; and communicatively couple the mobile device to the controller in response to the mobile device being received by the mobile mount; wherein the mobile device upon being communicatively coupled to the controller is configured to: capture, via a front camera of the mobile device, user information associated with a user using the electric bike; capture sensor information associated with the electric bike via one or more sensors configured in the mobile device and the electric bike; capture, via a rear camera of the mobile device, path information associated with a path being used to ride the electric bike; convert, via a first mobile application being executed on the mobile device, each of the user information, the sensor information, and the path information into corresponding predefined information states; determine, via the first mobile application, whether information states of at least one of the user information, the sensor information, or the path information are deviating from associated predefined thresholds; generate an alert signal, via a display of the mobile device, on a Graphical User Interface (GUI) in response to determining at least one deviation; and transmit a deactivating signal to the controller of the electric bike to progressively curtail at least one functioning of the electric bike in response to determining at least one deviation. |
| Claim: | 2. The electric bike of claim 1 , wherein the predefined information states and the associated predefined thresholds correspond to numeric values. |
| Claim: | 3. The electric bike of claim 1 , wherein the associated predefined thresholds are determined by an Artificial Intelligence (AI) model, wherein the AI model is trained to determine thresholds based on at least one of a training set of user information, a training set of sensors information, and a training set of path information. |
| Claim: | 4. The electric bike of claim 1 , wherein the associated predefined thresholds correspond to a set of compliance rules comprising traffic rules, safety rules, or admin defined rules, and wherein the associated predefined thresholds are jurisdiction specific. |
| Claim: | 5. The electric bike of claim 4 , wherein the user information corresponds to images of at least one of the head, the face, and the eyes of the user riding the electric bike, and wherein the at least one action performed by the user being in violation of at least one of the set of compliance rules prompts at least one of generation of the alert signal and transmission of the deactivating signal. |
| Claim: | 6. The electric bike of claim 4 , wherein the one or more sensors comprise at least one of a gyroscope, a compass, a motion sensor, a pressure sensor, a temperature sensor, position sensors, proximity sensors, or 3D accelerometer. |
| Claim: | 7. The electric bike of claim 6 , wherein at least one information state captured by the one or more sensors being in violation of at least one of the set of compliance rules prompts at least one of generation of the alert signal and transmission of the deactivating signal. |
| Claim: | 8. The electric bike of claim 4 , wherein the path information comprises at least one of lane location, pedestrian location, traffic lights, obstacle location, nearby vehicle location, deviations in the path, or surface data of the path. |
| Claim: | 9. The electric bike of claim 8 , wherein information states extracted from the path information being in violation of at least one of the set of compliance rules prompts at least one of generation of the alert signal and transmission of the deactivating signal. |
| Claim: | 10. The electric bike of claim 9 , wherein the mobile device upon being communicatively coupled to the controller is further configured to: automatically adjust the mobile mount to position the mobile device in a predetermined position, wherein, in the predetermined position: a field of view of the front camera captures at least the head and the face of the user driving the electric bike; and a field of view of the rear camera captures path ahead of the electric bike. |
| Claim: | 11. The electric bike of claim 8 , wherein the mobile device upon being communicatively coupled to the controller is further configured to: calculate a relative distance and trajectory of at least one of an obstacle and a nearby vehicle from the electric bike, based on the obstacle location and the nearby vehicle location derived from the path information; compare the relative distance with a distance threshold; and detect a potential collision of the electric bike with at least one of the obstacle and the nearby vehicle, when the relative distance is less than the distance threshold, wherein the obstacle is one of stationary or moving. |
| Claim: | 12. The electric bike of claim 1 , wherein generation of the alert signal comprises: displaying, via the display, a predefined element from a plurality of predefined elements to the user on the GUI, wherein each of a plurality of predefined elements correspond to multiple scenarios of alert signals. |
| Claim: | 13. The electric bike of claim 1 , wherein the mobile device upon being communicatively coupled to the controller is further configured to: block execution of one or more mobile applications on the mobile device except the first mobile application, when the electric bike is moving; and block user access to the electric bike, when the first mobile application is not running on the mobile device of the user. |
| Claim: | 14. The electric bike of claim 1 , wherein the mobile device upon being communicatively coupled to the controller is further configured to: share, with a server, a sub-set of information states of the user information, the sensor information, and the path information, wherein the sub-set of information states deviate from the associated predefined thresholds, and wherein the server is configured to maintain a record of at least one of driving performance of the user driving the electric bike, safety and compliance performance of the user, sensor information associated with the electric bike, and the path information associated with the electric bike, and wherein the server is configured to: determine a user rating based on the record of driving performance; determine a safety and compliance rating based on the record of the safety and compliance performance; manage issuance of electric bikes to the user based on the user rating; and determine user charges to be levied on the user for issuance of the electric bike to the user, based on the user rating. |
| Claim: | 15. An electric bike controlled using Artificial Intelligence (AI), the electric bike comprising: a front camera mounted on a steering handle of the electric bike; a rear camera mounted on the steering handle; a display screen mounted on the steering handle; a motor; one or more sensors configured within the electric bike; a rechargeable battery coupled to the motor, wherein the rechargeable battery is configured to power the motor; and a controller communicatively coupled to the front camera, the rear camera, the display screen, the one or more sensors, the motor and the rechargeable battery, wherein the controller is configured to: capture, via the front camera, user information associated with a user using the electric bike; capture, via the one or more sensors, sensor information associated with the electric bike; capture, via the rear camera, path information associated with a path being used to ride the electric bike; convert each of the user information, the sensor information, and the path information into corresponding predefined information states; determine whether information states of at least one of the user information, the sensor information, or the path information are deviating from associated predefined thresholds; generate an alert signal, via the display screen operatively configured to the controller, on a Graphical User Interface (GUI) in response to determining at least one deviation; and generate a deactivating signal to progressively curtail at least one functioning of the electric bike in response to determining at least one deviation. |
| Claim: | 16. A system for controlling an electric bike using Artificial Intelligence (AI), the system comprising: a processor; and a memory communicatively coupled to the processor, wherein the memory comprises processor instructions, which when executed by the processor cause the processor to: receive user information associated with a user using the electric bike, wherein the user information is captured using a front camera of a mobile device; receive sensor information associated with the electric bike via one or more sensors configured in the mobile device and the electric bike; receive via a rear camera of the mobile device, path information associated with a path being used to ride the electric bike; convert each of the user information, the sensor information, and the path information into corresponding predefined information states; determine whether information states of at least one of the user information, the sensor information, or the path information are deviating from associated predefined thresholds; generate an alert signal in response to determining at least one deviation; and transmit a deactivating signal to progressively curtail at least one functioning of the electric bike in response to determining at least one deviation. |
| Claim: | 17. The system of claim 16 , wherein the associated predefined thresholds are determined by an Artificial Intelligence (AI) model, wherein the AI model is trained to determine thresholds based on at least one of a training set of user information, a training set of sensors information, and a training set of path information. |
| Claim: | 18. The system of claim 16 , wherein the associated predefined thresholds correspond to a set of compliance rules comprising traffic rules, safety rules, or admin defined rules, and wherein the associated predefined thresholds are jurisdiction specific. |
| Claim: | 19. The system of claim 18 , wherein: the user information corresponds to images of at least one of the head, the face, and the eyes of the user riding the electric bike, and wherein the at least one action performed by the user being in violation of at least one of the set of compliance rules prompts at least one of generation of the alert signal and transmission of the deactivating signal; the one or more sensors comprise at least one of a gyroscope, a compass, a motion sensor, a pressure sensor, a temperature sensor, position sensors, proximity sensors, or 3D accelerometer; and the path information comprises at least one of lane location, pedestrian location, traffic lights, obstacle location, nearby vehicle location, deviations in the path, or surface data of the path. |
| Claim: | 20. The system of claim 19 , wherein: at least information state captured by the one or more sensors being in violation of at least one of the set of compliance rules or information states extracted from the path information being in violation of at least one of the set of compliance rules prompts at least one of generation of the alert signal and transmission of the deactivating signal. |
| Claim: | 21. The system of claim 16 , wherein the processor instructions further cause the processor to: automatically adjust a mobile mount, configured to receive the mobile device, to position the mobile device in a predetermined position, wherein, in the predetermined position: a field of view of the front camera captures at least the head and the face of the user driving the electric bike; and a field of view of the rear camera captures path ahead of the electric bike. |
| Claim: | 22. The system of claim 16 , wherein the processor instructions further cause the processor to: calculate a relative distance and trajectory of at least one of an obstacle and a nearby vehicle from the electric bike, based on the obstacle location and the nearby vehicle location derived from the path information; compare the relative distance with a distance threshold; and detect a potential collision of the electric bike with at least one of the obstacle and the nearby vehicle, when the relative distance is less than the distance threshold, wherein the obstacle is one of stationary or moving. |
| Claim: | 23. The system of claim 16 , wherein the processor instructions further cause the processor to: block execution of one or more mobile applications on the mobile device, when the electric bike is moving; and block user access to the electric bike, when the first mobile application is not running on the mobile device of the user. |
| Patent References Cited: | 20190178679 June 2019 Woolley 20220176829 June 2022 Haugen 20220210650 June 2022 Ericksen 20220311468 September 2022 Stephens |
| Primary Examiner: | Malkowski, Kenneth J |
| رقم الانضمام: | edspgr.11912369 |
| قاعدة البيانات: | USPTO Patent Grants |
| الوصف غير متاح. |