• 3 years ago
Deep learning has demonstrated its prowess in abnormal events recognition with its ability to detect unexpected events or abnormal patterns in things or events. AI keeps records of patterns based on constant occurrences. This can be normal human behavior, vehicles, the environment, and many more. It normalizes this data to define what is normal and average behavior. ‘Any breach in the pattern will raise an alarm. For instance, if a store is normally closed in the night and it was opened, it will be tagged as ‘anomaly and it will send an alert to indicate that an abnormal activity that poses as threat is ongoing’, Hashan Kodituwakku explains. This real-time surveillance is a much-needed one to detect any disruptive or offensive activities immediately.

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