1. A system [100] for optimizing collection of data to detect an occurrence in a
live event, the system [100] comprising;
at least one edge device [102] configured to capture at least one data of the live event, said at least one data being captured in response to a request received from a server [106];
the server [106] being configured to process the at least one captured data by at least one of edge device [102] to detect an occurrence in the live event;
wherein,
said at least one edge device [102] is configured in a network connected to the server [106], the configuration of at least one edge device [102] within the network being based on the live event,
said at least one edge device [102] is configured to be selectively interconnected and interoperable to another at least one edge [102] in said network, said network being configured to work as a single unit, and
said server [106] is configured to selectively control the activity of the said at least one edge device [102] to optimize collection of data.
2. The system as claimed in claim 1, further comprising at least one node unit [104] configured to receive the at least one captured data of the live event from the at least one edge device [102].
3. The system as claimed in claim 2, wherein the at least node unit [104] is further configured to process the at least one data of the live event received from the at least one edge device [102] to detect a score in the live event.
4. The system as claimed in claim 3, wherein the at least node unit [104] is further configured to transmit the detected score to the server [106].
5. The system as claimed in claim 1, wherein the at least one edge device [102] are located in a configuration at a live event.

6. The system as claimed in claim 5, wherein the at least one edge device [102] are connected to each other via a wireless connection.
7. The system as claimed in claim 1, wherein the at least one edge device [102] comprises of at least one sensor [201], transmitter [202] and receiver [203].
8. The system as claimed in claim 1, wherein the at least one edge device [102] comprises of a memory unit [204] to store the captured data.
9. The system as claimed in claim 7, wherein the at least sensor [201] may be at least one of a gyroscope, an accelerator, a piezo electric sensor, an oscilloscope, a camera, MEMS sensors, audio recorder and/or radar reflectors.
10. The system as claimed in claim 1, wherein the server [106] is further configured to transmit a stop command to at least one edge device [102] using machine learning.
11. The system as claimed in claim 1, wherein the at least edge device [102] is further configured to stop the capturing of at least one data when a stop command is dynamically received from the server [106].
12. A method [200] for optimizing collection of data to detect an occurrence in a live event, the method [200] comprising;
transmitting, by a server [106], a request to activate at least one edge device [102], wherein said server [106] is configured to selectively control the activity of the said at least one edge device [102] to optimize collection of data and said at least one edge device [102] is configured in a network connected to the server [106], the configuration of at least one edge device [102] within the network being based on the live event; and
wherein said at least one edge device [102] is configured to be selectively interconnected and interoperable to another at least one edge [102] in said network, said network being configured to work as a single unit;

capturing, by at least one edge device [102], at least one data of a live event in response to a request received from the server [106]; and
processing, by the server [106], the at least one captured data by at least one of edge device [102] to detect an occurrence in the live event.
13. The method as claimed in claim 12, further comprising receiving, by at least one node unit [104], the at least one captured data of the live event from the at least one edge device [102].
14. The method as claimed in claim 12, further comprising processing, by the at least node unit [104], the at least one data of the live event received from the at least one edge device [102] to detect a score in the live event.
15. The method as claimed in claim 12, further comprising transmitting, by the at least node unit [104], the detected score in the live event to the server [106].
16. The method as claimed in claim 12, further comprising transmitting, by the server [106], a stop command to at least one edge device [102] based on machine learning.
17. The method as claimed in claim 12, further comprising stopping the capturing of at least one data, of at least edge device [102], when the stop command is dynamically received from the server [106].
18. The method as claimed in claim 12, further comprising storing the captured data in a memory unit [204] by at least one edge device [102].