Systems and methods for determining device output using photoelectric devices

A computer program product for determining device output, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

• receive, via a monitoring device, an actual display value, wherein the actual display value comprises one or more light patterns emitted from a display device;
• determine, via an artificial intelligence (AI) engine, an expected display value in real time, wherein the expected display value comprises one or more expected light patterns that are expected to be emitted from the display device, wherein the AI engine is trained on baseline parameters associated with the expected display value;
• determine, via the AI engine and in real time, an anomaly associated with the display device, wherein the anomaly comprises a difference between the actual display value and the expected display value;
• and
• receive, via the monitoring device, an unexpected light pattern associated with a second light source, wherein the AI engine is further configured to:
• determine the unexpected light pattern, and
• determine the anomaly is not caused by the unexpected light pattern.

A method for determining device output, the method comprising:

• receiving, via a monitoring device, an actual display value, wherein the actual display value comprises one or more light patterns emitted from a display device;
• determining, via an artificial intelligence (AI) engine, an expected display value in real time, wherein the expected display value comprises one or more expected light patterns that are expected to be emitted from the display device, wherein the AI engine is trained on baseline parameters associated with the expected display value;
• determining, via the AI engine and in real time, an anomaly associated with the display device, wherein the anomaly comprises a difference between the actual display value and the expected display value;
• and
• receiving, via the monitoring device, an unexpected light pattern associated with a second light source, wherein the AI engine is further configured to:
• determine the unexpected light pattern, and
• determine the anomaly is not caused by the unexpected light pattern.