Liveness detection for product consumption using computer vision is a technology that employs computer vision algorithms to verify the authenticity of product consumption events in real-time. It utilizes visual data, such as images or video streams, to assess whether the consumption is performed by a live person rather than a manipulated or automated process. By analyzing facial features, gestures, and other relevant cues, the computer vision system can detect signs of liveness, such as eye movement, facial expressions, or interaction with the product. This technology ensures that product consumption is genuine and helps prevent fraudulent activities such as using fake or stolen identities to falsely claim consumption rewards or benefits. It finds applications in industries such as loyalty programs, customer engagement, and marketing, providing an added layer of security and trust in verifying genuine product consumption.