Delta Electronics had nine patents in artificial intelligence during Q2 2024. Delta Electronics Inc filed patents for an object sampling method, a hierarchical artificial intelligence computing system, an image analysis model adjustment method, and an image analysis method to increase identification efficiency. These patents focus on transforming color space, computing saturation and gradient, adjusting image models, and increasing identification efficiency in image analysis devices. GlobalData’s report on Delta Electronics gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Delta Electronics had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Object sampling method and image analysis apparatus (Patent ID: US20240193951A1)

The patent filed by Delta Electronics Inc. describes an object sampling method for an image analysis apparatus that involves transforming the color space of surveillance images, computing saturation and gradient of specific pixels, setting a bonding box, computing a background score based on saturation, and comparing it with a sampling condition to determine the applicability of the surveillance image for analysis. The method also includes computing weighting values, cluster analysis results, brightness variation, and applying normalization processes to enhance the accuracy of the analysis.

Furthermore, the patent outlines an image analysis apparatus with an image receiver and an operation processor that implements the object sampling method. The apparatus is designed to transform color space, compute saturation, set bonding boxes, and calculate background scores based on saturation and brightness variation. It also includes features for computing weighting values, cluster analysis results, clarity, box size, and masking rate to determine the applicability of surveillance images for analysis, ensuring a comprehensive and accurate evaluation process for image analysis.

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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.