SAFETY APPARATUS FOR A WATER BODY

Abstract

The various embodiments herein provide a safety device for anticipating and detecting a potential incident in a water body. The safety device comprises a sensor unit, a processing unit, a data transceiver and a computer readable program. The sensor unit is installed over a surface of the safety device to monitor a human and a water vehicle activity and assess a water condition in a device's vicinity. The processing unit is a core module connected to the sensor unit within a housing to receive, process and transmit a data in a real time. The data transceiver is connected to the processing unit through a bidirectional channel to a monitoring authority. The computer readable program is installed in the safety device and runs over the processing unit. The computer readable program acts as an interface between the safety device and the monitoring authorities.

Claims

1. A safety device for anticipating, and detecting a potential incident in a water body comprising: a sensor unit, wherein the sensor unit is installed over a surface of the safety device to monitor a human and a water vehicle activity and assess a water condition in a device's vicinity; a processing unit, wherein the processing unit is core module connected to the sensor unit within a housing to receive, process and transmit a data in a real time; a data transceiver, wherein the data transceiver is connected to the processing unit through a bidirectional channel to a monitoring authority; and a computer readable program, wherein the computer readable program is installed in the safety device and runs over the processing unit, wherein the computer readable program acts as an interface between the safety device and the monitoring authorities.

2. The safety device as claimed in claim 1, wherein the sensor unit comprises an imaging unit, a temperature sensor, a chemical analyser and a pressure sensor.

3. The safety device as claimed in claim 2, wherein a real time data is communicated from the sensor unit to the processing unit, wherein the data comprises a real time image, a real time video, a water surface temperature, a water flow rate and a chemical composition in water.

4. The safety device as claimed in claim 3, wherein the real time image and video data is analysed by the processing unit and a matched with a reference data comprising an incidental scenario data.

5. The safety device as claimed in claim 4, wherein the processed data is collated with the water surface temperature, the water flow rate and the chemical composition in water to assess a drowning scenario matching the reference data.

6. The safety device as claimed in claim 5, wherein the processing unit generates a distress beacon and also sends a real time sensor data to the monitoring authorities on positively identifying a drowning incident.

7. The safety device as claimed in claim 1, wherein the housing is made of dynamic air pressurized chamber for dynamically floating as well as submerging in water.

8. The safety device as claimed in claim 1, wherein the housing comprises a plurality of anchors for stabilizing a position of the safety device in water and on land.

9. The safety device as claimed in claim 1, wherein the computer readable program implements an artificial intelligence on a data processed by the processing unit to predict a potential drowning incident.

10. The safety device as claimed in claim 9, wherein the processing unit generates a distress beacon and also sends a real time sensor data to the monitoring authorities on positively identifying a drowning incident.

11. A method for detecting a potential drowning incident in a water body through a safety device comprising the steps of: gathering a plurality of images through an imaging unit installed in the safety device; identifying a plurality of markers in the gathered plurality of images; matching the identified markers with a reference data saved in a database of a processing unit installed in the safety device; sending the plurality of images along with an alert notification to a monitoring authority through a computer readable program on successful matching; and generating a distress beacon and sending a plurality of sensor data to the monitoring authority, wherein the sensor data is generated by a sensor unit in the safety device.

12. The method as claimed in claim 11, wherein the sensor data comprises data comprises a water surface temperature, a water flow rate and a chemical composition in water.

13. A method for predicting a potential drowning incident in a water body through an artificial intelligence driven safety device comprising the steps of: gathering a plurality of images of a human activity and a water vehicle activity over and under a water surface through an imaging unit installed in the safety device; gathering a plurality of sensor data through a sensor unit in the safety device; identifying a plurality of markers in the gathered plurality of images; matching the identified markers collated with the plurality of sensor data saved in a database with a reference data of a processing unit installed in the safety device; predicting a potential drowning incident on positive matching of the marker with the reference data; generating an audible alert beacon for the human and water vehicles present in vicinity; and sending the plurality of sensor data and images to the monitoring authority.

14. The method as claimed in claim 13, wherein the sensor data comprises data comprises a water surface temperature, a water flow rate and a chemical composition in water.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The other objects, features and advantages will occur to those skilled in the art from the following description of the preferred embodiment and the accompanied drawings in which:

[0031] FIG. 1 illustrates a block diagram of a safety apparatus for a water body, according to one embodiment herein.

[0032] FIGS. 2a and 2b illustrates a placement of the safety apparatus in the water body and a communication architecture during an alert generation respectively, according to one embodiment herein.

[0033] FIG. 3 illustrates a flowchart for a method for detecting a potential drowning incident in a water body through a safety device, according to one embodiment herein.

[0034] FIG. 4 illustrates a flowchart for a method for predicting a potential drowning incident in a water body through an artificial intelligence driven safety device, according to one embodiment herein.

DETAILED DESCRIPTION OF THE DRAWINGS

[0035] In the following detailed description, a reference is made to the accompanied drawings that form a part hereof, and in which the specific embodiments that may be practiced is shown by way of illustration. The embodiments are described in sufficient detail to enable those skilled in the art to practice the embodiments and it is to be understood that the logical, mechanical and other changes may be made without departing from the scope of the embodiments. The following detailed description is therefore not to be taken in a limiting sense.

[0036] FIG. 1 illustrates a block diagram of a safety apparatus for a water body, according to one embodiment herein. With respect to FIG. 1, the safety device 100 comprises a sensor unit 101, a processing unit 102, a data transceiver 103 and a computer readable program 104. The sensor unit 101 is installed over a surface of the safety device 100 to monitor a human, animal and a water vehicle activity and assess a water condition in a device's vicinity. The sensor unit 101 comprises an imaging unit 101a, a temperature sensor 101b, a chemical analyser 101c and a pressure sensor 101d. The processing unit 102 is a core module connected to the sensor unit 101 within a housing to receive, process and transmit a data in a real time. The data transceiver 103 is connected to the processing unit 102 through a bidirectional channel to a monitoring authority. The computer readable program 104 is installed in the safety device 100 and runs over the processing unit 102. The computer readable program 104 acts as an interface between the safety device and the monitoring authorities. The computer readable program 104 implements an artificial intelligence (AI) to predict and identify a drowning or potentially drowning incident. The (AI) uses an analytical model and a predictive model to provide the results. The safety device components comprise sensor unit 101, the processing unit 102, and the data transceiver 103 are packaged into a housing. The housing comprises an inner compartment to house the safety device components, a pressurized chamber for filling an air and water to facilitate a floating and submerging ability to the safety device and an anchor. The anchor is attached to an outer surface of the housing for stabilizing the safety device in water body and on land (as shown in FIG. 2b). The safety device components and the housing are powered by a rechargeable battery panel provided with in the housing.

[0037] As shown in FIG. 2a, a communication architecture in the safety device 100 utilizes a satellite unit 201 and a plurality of computing devices 202. The data transceiver 103 in the safety device receives a processed data for a potential drowning incident from the processing unit and sends the data in real time to the satellite unit 201 with a video feed. The satellite unit 201 relays the received processed data and the video feed to the plurality of computing devices 202 as a notification or an alert.

[0038] According to an embodiment herein, the safety device is configurable with a pedal assembly controlled through the processing unit. The monitoring authority is facilitated to control a movement of the safety device through the computer readable program. The computer readable program a real time directional feed to the monitoring authority received from the processing unit and a monitoring authority activates the pedal unit for moving the floating safety device towards a drowning victim to provide an immediate support till a rescue team or the monitoring authority arrives.

[0039] FIG. 3 illustrates a flowchart for a method for detecting a potential drowning incident in a water body through a safety device, according to one embodiment herein. With respect to FIG. 3, the safety device gathers a plurality of images through an imaging unit installed in the safety device (301) and identifies a plurality of markers in the gathered plurality of images (302). Then, the identified markers are matched with a reference data saved in a database of a processing unit installed in the safety device (303). On successful matching, the plurality of images along with an alert notification are sent to a monitoring authority through a computer readable program on successful matching and a distress beacon is generated along with sending a plurality of sensor data to the monitoring authority (304 & 305). The sensor data is generated by a sensor unit in the safety device (306). On unsuccessful matching, the processed data is scrapped, and the safety device continues to monitor the water condition and a human and water vehicle activity.

[0040] FIG. 4 illustrates a flowchart for a method for predicting a potential drowning incident in a water body through an artificial intelligence driven safety device, according to one embodiment herein. With respect to FIG. 4, the method comprises gathering a plurality of images of a human activity and a water vehicle activity through an imaging unit installed in the safety device (401). Simultaneously, a plurality of sensor data is gathered through a sensor unit in the safety device (402). The processing unit identifies a plurality of markers in the gathered plurality of images (403) and matches the identified markers collated with the plurality of sensor data saved in a database with a reference data of a processing unit installed in the safety device (404). The processing unit predicts a potential drowning incident on positive matching of the marker with the reference data (405) and generates an audible alert beacon for the human and water vehicles present in vicinity to caution nearby public and water vehicles (406). The processing unit further sends the plurality of sensor data and images to the monitoring authority through a data transceiver unit (407).

[0041] It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the claims.