Detecting Photoepileptic Content: Enhancing Safety

Abstract

Abstract: Photosensitive epilepsy is a recognized medical condition that affects a sizeable portion of the population, putting individuals at risk for having convulsions triggered by flashing lights or contrasting patterns. Due to its impact on their ability to carry out daily activities and function normally, those who suffer from this condition face a significant challenge. Despite technological advancements and the expansion of the entertainment industry, the prevalence of flashing lights and symmetrical patterns persists, making it imperative to address this issue. This paper seeks to shed light on photosensitive epilepsy and explores a possible solution for detecting photoepileptic content in videos using video processing algorithms with predefined parameters aligned with recommended standards for tolerance levels in photosensitive epilepsy patients. The algorithm takes into account factors such as the luminance, brightness, and duration of flashes deemed safe for people with photosensitive epilepsy. There are currently no automated tools for detecting photoepileptic content in online videos. Some creators manually provide warnings regarding the presence of such content, highlighting the need for a detection tool to protect viewers with photosensitive epilepsy. This paper addresses the lack of regulatory software required to effectively monitor the entertainment industry's rapid evolution. This research contributes to mitigating the effects of photosensitive epilepsy and promoting a safer environment for individuals with this condition by increasing awareness.