Methods and system for monitoring an environment

A system for generating descriptive parameters of one or more target objects in a region, the system comprising:

• one or more sensors comprising one or more image sensors and one or more audio sensors positioned in one or more spatial directions in a region;
• and
• a target monitoring system operably coupled to the sensors, the target monitoring system comprising:
• a non-transitory computer readable storage medium configured to store computer program instructions defined by modules of the target monitoring system;
• and
• at least one processor communicatively coupled to the non-transitory computer readable storage medium and operably coupled to the sensors, the at least one processor configured to execute the computer program instructions defined by the modules of the target monitoring system, the modules comprising:
• a data reception module configured to dynamically receive first data comprising one or more of image data and audio data of the one or more target objects in the region from the one or more sensors positioned in the one or more spatial directions in the region, over a network;
• said data reception module further configured to dynamically receive second data comprising circumstantial information related to the first data over the network, wherein when the first data comprises image data, the corresponding second data comprises one or more of color values, intensity values, voltage values corresponding to a visible or infrared spectrum and time of image capture, and wherein when the first data comprises audio data, the corresponding second data comprises one or more of frequency, amplitude, pitch, and time-distribution of frequency spectrum;
• a data filter module configured to filter the dynamically received first data of the one or more target objects;
• an object identification module configured to identify the one or more target objects in the region using the filtered first data, wherein the identification is performed using a deep learning network comprising one or more of a residual convolutional network, a fully connected feed forward network, and a probabilistic classifier;
• and
• a descriptive parameter generation module configured to generate descriptive parameters associated with each of the identified one or more target objects in the region using one or more of the filtered first data and the received second data.

A non-transitory computer readable storage medium having embodied thereon, computer program codes comprising instructions executable by at least one processor for generating descriptive parameters of one or more target objects in a region, the computer program codes comprising:

• a first computer program code for dynamically receiving first data comprising one or more of image data and audio data of the one or more target objects in the region from one or more sensors positioned in one or more spatial directions in the region, over a network, wherein the one or more sensors comprise an image sensor and an audio sensor;
• a second computer program code for dynamically receiving second data comprising circumstantial information related to the first data, over a network wherein when the first data comprises image data, the corresponding second data comprises one or more of color values, intensity values, voltage values corresponding to a visible or infrared spectrum and time of image capture, and wherein when the first data comprises audio data, the corresponding second data comprises one or more of frequency, amplitude, pitch, and time-distribution of frequency spectrum;
• a third computer program code for filtering the dynamically received first data of the one or more target objects;
• a fourth computer program code for identifying the one or more target objects in the region using the filtered first data, wherein the identification is performed using a deep learning network comprising one or more of a residual convolutional network, a fully connected feed forward network, and a probabilistic classifier;
• a fifth computer program code for generating descriptive parameters associated with each of the identified one or more target objects in the region using one or more of the filtered first data and the second data.