Sensor quality upgrade framework

A method for upgrading sensor output quality, comprising:

• training, by a computing device, a learning logic based upon sensor output data from a first sensor and concurrent output data received from a second sensor, the learning logic comprising at least one of deep learning, artificial intelligence, fuzzy logic, or fuzzy cognitive maps, the training configured to reduce an error between an output of the first sensor passed through the learning logic and the concurrent output data from the second sensor, thereby providing a trained learning logic configured to provide higher-quality sensor data when applied to sensor output data from the first sensor;
• obtaining subsequent sensor output data from the first sensor;
• and
• generating subsequent higher-quality sensor output data by applying the trained learning logic to the subsequent sensor output data.

A device for upgrading sensor output quality, comprising:

• a first sensor comprising at least one of an artificial neural network (ANN) or learning logic trained to reduce an error between an output of the at least one of the ANN or learning logic applied to sensor output data of the first sensor and concurrent output data from a second sensor, the first sensor configured to:
• obtain low-quality sensor output data;
• generate higher-quality sensor output data by applying the at least one of the trained ANN or learning logic to the low-quality sensor output data;
• and
• communicate the higher-quality sensor output data to a remotely located computing device.

A system for upgrading sensor output quality, comprising:

• a first sensor configured to obtain sensor output data;
• a mobile user device communicatively coupled to the first sensor, the mobile user device comprising at least one of an artificial neural network (ANN) or learning logic trained to reduce an error between an output of the ANN or learning logic applied to sensor output data of the first sensor and concurrent output data from a second sensor, the mobile user device configured to:
• receive low-quality sensor output data from the first sensor;
• generate higher-quality sensor output data by applying the at least one of the trained ANN or learning logic to the low-quality sensor output data;
• and
• communicate the higher-quality sensor output data to a remotely located computing device.