METHOD AND SYSTEM FOR OBJECT DETECTION AND CLASSIFICATION

    公开(公告)号:US20200097758A1

    公开(公告)日:2020-03-26

    申请号:US16620651

    申请日:2018-06-07

    Abstract: A detection device (1) including: a sensor configured to emit a monitoring signal representing a scene (S), a control unit (4) connected to the sensor. The control unit is configured to: receive the monitoring signal from the sensor, estimate a three-dimensional representation of the scene (S) as a function of said monitoring signal, determine an inspection region (V) from the three-dimensional representation of the scene, provide a classifier with a representation of the inspection region (V), determine, by means of the classifier and based on the representation of the inspection region (V), the presence of people (P) and/or specific objects (C) in the representation of said inspection region (V).

    ARTIFICIAL NEURAL NETWORK PROCESSING METHODS AND SYSTEM

    公开(公告)号:US20220027715A1

    公开(公告)日:2022-01-27

    申请号:US17383132

    申请日:2021-07-22

    Abstract: A method, comprising: providing an ANN processing stage having a plurality of processing layers with respective parameters including at least one set of weight parameters, at least one input, resp. output, activation parameter and at least one activation function parameter; setting to an integer value a dimensional parameter of a lattice having a plurality of lattice points and identified by a set of basis vectors; selecting a set of weight parameters of a respective processing layer; vectorizing the selected set of weight parameters producing a set of weight vectors arranged as items of a matrix of weight vectors; normalizing the matrix of weight vectors; applying lattice vector quantization, LVQ, processing to the matrix of normalized weight vectors, producing a codebook of codewords; indexing by encoding codewords of the codebook as a function of the lattice, producing respective tuples of indices. The normalization comprises solving an optimization problem having a first term configured to provide normalized weight values approximating at least output, as a function of at least one input, activation parameter, and a regularization term ΩL, configured to amplify weight values having a short distance from the lattice points of the lattice L.

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