Image Analysis System for Product Identification Accuracy

The patent divides the entire image into multiple local regions, each containing one or more products. Instead of processing the entire image uniformly, the system performs image processing on each local region separately. This segmentation allows the system to focus computational resources on specific product regions rather than the whole image, thereby reducing overall processing time while maintaining identification accuracy for each product.

The patent applies different processing strategies to different regions based on their characteristics. For regions where products are clearly distinguishable, standard identification is applied. For regions where identification confidence is low or products are closely positioned, enhanced processing is performed. This local quality approach ensures high accuracy for difficult cases while avoiding unnecessary processing for easy cases, thus reducing overall processing time.

The patent segments the image into multiple local regions and processes each region independently. This segmentation reduces the computational volume by avoiding redundant processing across the entire image. Each local region is processed with appropriate computational resources, and results are aggregated to form the final identification, thereby reducing total computational requirements while maintaining accuracy.

The patent applies enhanced image processing only to local regions where it is necessary (e.g., regions with low identification confidence or closely positioned products), rather than applying full processing to the entire image. This partial action approach reduces overall computational volume by performing intensive processing only where needed, while using simpler processing for other regions.