Wipro has patented a method for detecting anomalies in images by identifying specific features and regions. By using a subset of images, the accuracy of anomaly detection is increased. The system utilizes pre-trained models to detect and classify anomalies based on aggregated scores. GlobalData’s report on Wipro gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Wipro, Hybrid cloud mgmt was a key innovation area identified from patents. Wipro's grant share as of January 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.
Anomaly detection method using subset of images
A recently granted patent (Publication Number: US11823366B2) discloses a method and system for detecting anomalies in a set of images using artificial intelligence-based techniques. The method involves determining a subset of images with specific features, identifying regions with certain features in each image, and detecting anomalies based on these regions. An anomaly detection system utilizes pre-trained models to detect anomalies, determine the type of anomaly, and compute a score associated with the anomaly. The system then aggregates scores, discards outliers, and determines the anomaly type based on the aggregated score. The system also includes training processes for the models to improve accuracy in anomaly detection.
The anomaly detection system described in the patent utilizes advanced AI techniques to efficiently detect anomalies in images. By categorizing images based on specific features and identifying regions with relevant characteristics, the system can accurately pinpoint anomalies and determine their types. The system's ability to discard outliers and aggregate scores enhances the accuracy of anomaly detection. Additionally, the training processes for the models ensure continuous improvement in anomaly detection capabilities. Overall, the patent presents a comprehensive method and system for detecting anomalies in image data, showcasing the potential for advanced AI technologies in anomaly detection applications.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
