MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112567 A) filed by Priyanka K; Aathavan M; Arun R; Kishoak M; and Lohith M L, Coimbatore, Tamil Nadu, on Nov. 17, 2025, for 'automated ai image detection.'
Inventor(s) include Priyanka K; Aathavan M; Arun R; Kishoak M; and Lohith M L.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an automated ar1ificial intelligence (Al)-based system designed to determine whether a given image is real or AI-generated. With the rapid advancement of generative models, distinguishing authentic images from synthetic ones has become a major challenge. in digital media and security domains. The proposed system addresses this issue by employing a machine learning architecture capable of learning and identifying subtle visual inconsistencies that are often invisible to the human eye. The system utilizes a convolutional neural network (CNN) trained on a diverse dataset containing real and Al-generated images. During training, the model extracts pixel-level features, texture patterns, and frequency domain characteristics to build a classification framework. When an image is provided as input, the trained model automatically analyzes it and produces an output label-"real" or "AIgenerated"- along with a confidence score that reflects the reliability of its prediction. This invention can be integrated into multiple real-world applications, including digital forensics, online content verification, and social media authentication systems. By automating the image verification process, the system helps prevent misinformation, image forgery, and misuse of generative AI technologies. The approach is scalable, lightweight, and adaptable for deployment across various platforms and devices."
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