Abstract: A system or method can analyze symbols on a set of objects having different sizes. The system can identify a characteristic object dimension corresponding to the set of objects. An image of a first object can be received, and, a first virtual object boundary feature (e.g., edge) in the image can be identified for the first object based on the characteristic object dimension. A first symbol can be identified in the image, and whether the first symbol is positioned on the first object can be determined, based on the first virtual object boundary feature.

Abstract: A system or method can analyze symbols on a set of objects having different sizes. The system can identify a characteristic object dimension corresponding to the set of objects. An image of a first object can be received, and, a first virtual object boundary feature (e.g., edge) in the image can be identified for the first object based on the characteristic object dimension. A first symbol can be identified in the image, and whether the first symbol is positioned on the first object can be determined, based on the first virtual object boundary feature.

Abstract: Some embodiments of the disclosure provide systems and methods for improving sorting and routing of objects, including in sorting systems. Characteristic dimensional data for one or more objects with common barcode information can be compared to dimensional data of another object with the common barcode information to evaluate a classification (e.g., a side-by-side exception) of the other object. In some cases, the evaluation can include identifying the classification as incorrect (e.g., as a false side-by-side exception).