Data Gathering: Scintilla Systems captures video interviews from various sources, such as CCTV cameras, body-worn cameras, or dedicated interview recording devices. These interviews are conducted in environments where risk assessment is crucial, such as border checkpoints, corporate espionage investigations, or counter-terrorism operations.

Advanced AI Algorithm: Scintilla Systems employs state-of-the-art artificial intelligence algorithms, including machine learning, to analyze video interviews. These algorithms are trained on extensive datasets of interviews in similar contexts to recognize patterns indicative of risk or threat.

Classification of Data: The AI algorithm developed by Scintilla Systems processes the video interviews in real-time or near-real-time, extracting relevant information from facial and upper body behaviors.

Report Generation: Based on the classification results, Scintilla Systems generates detailed reports outlining the identified risks and threats present in the video interviews. These reports may include timestamps, excerpts from the interviews, and a breakdown of the factors contributing to the risk assessment. The reports are designed to provide actionable insights for decision-makers, whether they are security personnel, law enforcement officials, or HR professionals. Thus, actionable insights are generated that can be furnished to these reports to the relevant stakeholders, enabling them to make informed decisions regarding the next steps to mitigate potential risks or address identified threats. Depending on the severity and nature of the identified risks, this may involve additional screening, investigation, intervention, or escalation of security measures.