Practical guides for checking video sources, examining manipulation signals, and interpreting AI-related evidence without treating any single clue as proof.
Begin with the closest task, then follow related methods when one check is not enough.
CEO fraud is an impersonation scam that uses a leader’s apparent authority to push someone into an unauthorized payment or other sensitive action. It can arrive by email, message, voice, or video; AI is not required. Before paying, independently confirm the exact request, apply the organization’s approval process, and verify any changed destination separately. A […]
Demosaicing reconstructs a full-color image from the differently filtered light samples recorded by many digital camera sensors. In a common Bayer arrangement, each sensor location supplies one filtered measurement, not an independently measured red, green and blue triplet. Software estimates the missing channels using surrounding samples and a reconstruction method. That ordinary step explains why […]
Monocular depth estimation predicts scene depth from a single image. Depending on the model and output, that can mean a relative ordering of nearer and farther areas or estimated distances in physical units. Neither a colorful map nor a detailed contour automatically establishes measured geometry. Read the output’s definition before deciding what it tells you. […]
Image inpainting fills a selected missing or unwanted region inside a picture using surrounding information and, in some methods, learned image patterns. A plausible fill is newly reconstructed visual content, not proof of what originally occupied that space. Keep the source, selected mask and resulting version separate when an edit could affect how viewers interpret […]
Orbs on security cameras are often out-of-focus particles or reflections made conspicuous by night illumination. A tiny object close to the lens can appear as a large pale disc while the doorway behind it remains recognizable. Dust, droplets and insects are plausible explanations, but the shape of one bright spot does not identify its exact […]
Digital humans are computer-created representations of people, used as characters, presenters, doubles or interactive interfaces. Their appearance, voice and movement can come from different sources, including an artist, an actor, recorded performance and generated material. A convincing digital person does not by itself establish a real identity, a genuine statement or permission to represent somebody. […]
AI phishing uses AI-assisted content to support a deceptive request for access, information, money, or another sensitive action. A message may sound fluent, personalized, and familiar without being authorized. Do not try to prove who wrote it before choosing safely. Pause the requested action, reach the person or organization through an independently trusted route, and […]
Temporal aliasing happens when a changing scene is sampled in time so that different real motions can produce the same recorded sequence. A wheel may appear to stop or turn backward even while it keeps rotating forward. The camera supplies separated observations; the viewer sees a plausible motion connecting them, but that apparent connection may […]
What is AI upscaling? It is the use of a trained model to estimate a higher-resolution version of an image or video from a lower-resolution input. The output contains more pixels, but those added values are not new camera observations. Upscaling can make media more suitable for a larger display or an editing task while […]
