Abstract: A method, system, and computer-readable medium is described for automatically identifying incongruous item packages, such as to detect incongruities in the items that are included as contents of the item packages and/or to identify incongruities in the packaging used for the item packages. In some situations, the automatic identification of incongruous packages includes initially automatically learning appropriate values for parameters of items (e.g., item weights and/or dimensions) based on automatically measured parameters of packages including those items. Those item values can then be used to estimate corresponding parameter values of sealed packages that contain those items, and to further identify incongruous item packages whose measured parameter values do not correspond to the estimated values for those parameters. This abstract is provided to comply with rules requiring an abstract, and it is not intended to be used to interpret or limit the scope or meaning of the claims.

Abstract: A method, system, and computer-readable medium is described for automatically identifying incongruous item packages, such as to detect incongruities in the items that are included as contents of the item packages and/or to identify incongruities in the packaging used for the item packages. In some situations, the automatic identification of incongruous packages includes initially automatically learning appropriate values for parameters of items (e.g., item weights and/or dimensions) based on automatically measured parameters of packages including those items. Those item values can then be used to estimate corresponding parameter values of sealed packages that contain those items, and to further identify incongruous item packages whose measured parameter values do not correspond to the estimated values for those parameters.

Abstract: Apparatus for generating an output digital signal that approximates the value of a predetermined mathematical function lying in the X-Y plane at a point defined by an input digital signal. The mathematical function is approximated by a plurality of linear least-mean-square line segments each of which includes a central point, R, and a slope, S, with the desired point being defined by the equation F(X) approximates R+S.DELTA.X, where .DELTA.X is the X distance between the central point R and the desired point. R, S and .DELTA.X are precalculated and stored in PROM lookup tables and combined as stated in the above equation.