Abstract: The present disclosure provides a component identification method which includes: inputting a first image into a set identification model to obtain at least one UI block in the first image outputted by the set identification model, wherein the first image is determined on the basis of a first visual mockup, the set identification model is used for identifying the at least one UI block in an inputted image, and each UI block at least comprises an image region obtained by UI component rendering; determining, among the nodes of a document object model DOM corresponding to the first visual mockup, a first node corresponding to each UI block in the at least one UI block; inputting an image corresponding to each first node into a set classification model to obtain a UI component type corresponding to the first node outputted by the set classification model.

Abstract: A computer-implemented method of rent payment and collections management is provided in which exemplary implementations may: obtain, from a first database, stored legal notification requirements associated with a jurisdiction of the rental property; obtain, from a second database, rental payment information from a rental transaction record for a tenant occupying the rental property; determine, based on the stored legal notification requirements and on the rental payment information, whether a first set of pre-conditions for tenant notification of insufficient rental payment has been satisfied; based on determining that the first set of pre-conditions has been satisfied, automatically generate a notice of insufficient payment that satisfies a second set of notification conditions for tenant notification of insufficient rental payment for the jurisdiction of the rental property; and automatically send the notice of insufficient payment to the tenant in a manner that complies with the second set of notification

Abstract: A foveal image sensor integrated circuit comprising a plurality of CMOS active pixel sensors arranged both within and about a central fovea region of the chip. The pixels in the central fovea region have a smaller size than the pixels arranged in peripheral rings about the central region. A new photocharge normalization scheme and associated circuitry normalizes the output signals from the different size pixels in the array. The pixels are assembled into a multi-resolution rectilinear foveal image sensor chip using a novel access scheme to reduce the number of analog RAM cells needed. Localized spatial resolution declines monotonically with offset from the imager's optical axis, analogous to biological foveal vision.