Method and system for rendering content in low light condition for field assistance

A method of rendering Augmented Reality (AR) content in low light condition for field assistance, the method comprising:

• receiving, by a field assisting device, real-time input data from a user device in a low light condition, wherein the real-time input data comprises unprocessed image frames captured from the user device;
• identifying, by the field assisting device, at least one object from the real-time input data and corresponding operational state of the at least one object based on a correlation of the at least one object in the real-time input data and corresponding operational state of the at least object with pre-stored objects and corresponding operational state of the pre-stored objects, wherein the pre-stored objects and corresponding operational state of the pre-stored objects are identified based on training a recurrent neural network with a set of image frames;
• predicting, by the field assisting device, at least one action to be performed on the identified at least one object, wherein the at least one action is predicted based on the trained recurrent neural network, and wherein the at least one action is to be performed at a location of the identified at least one object in the identified real-time input data;
• extracting, by the field assisting device, an Augmented Reality (AR) object associated with the identified at least one object on which the at least one action is to be performed;
• rendering, by the field assisting device, the location, the at least one action to be performed, and the AR object on the user device;
• computing, by the field assisting device, sensory information suitable for the user device from at least one of the identified at least one object, corresponding operation state, the at least one action to be performed and the AR object, wherein the sensory information is computed to provide real-time visualization of the at least one action and the identified at least one object;
• and
• sending, by the field assisting device, the sensory information and the location to the user device for field assistance.

A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor, cause a field assisting device to perform operations comprising:

• receiving real-time input data from a user device in a low light condition, wherein the real-time input data comprises unprocessed image frames captured from the user device;
• identifying at least one object from the real-time input data and corresponding operational state of the at least one object based on a correlation of the at least one object in the real-time input data and corresponding operational state of the at least object with pre-stored objects and corresponding operational state of the pre-stored objects, wherein the pre-stored objects and corresponding operational state of the pre-stored objects are identified based on training a recurrent neural network with a set of image frames;
• predicting at least one action to be performed on the identified at least one object, wherein the at least one action is predicted based on the trained recurrent neural network, and wherein the at least one action is to be performed at a location of the identified at least one object in the identified real-time input data;
• extracting an Augmented Reality (AR) object associated with the identified at least one object on which the at least one action is to be performed;
• rendering the location, the at least one action to be performed, and the AR object on the user device;
• compute sensory information suitable for the user device from at least one of the identified at least one object, corresponding operation state, the at least one action to be performed and the AR object, wherein the sensory information is computed to provide real-time visualization of the at least one action and the identified at least one object;
• and
• send the sensory information and the location to the user device for field assistance.