Abstract: Methods, systems, and storage media are disclosed for passive liveness detection using artificial intelligence. Example implementations may receive an image of a person's face; generate a cropped version of that image; generate two different embeddings using two convolutional neural networks that are fed the image and the cropped image, respectively; generate a combined embedding that is a concatenation of the two embeddings; and generate, based on the combined embedding, an output indicating whether the facial portion corresponds to a live person. In addition, systems, devices, and methods for multi-factor authentication for transaction processing are provided.

Abstract: The systems and methods contained herein are directed toward automated analysis of agglutination reactions to determine properties of materials, including viruses and vaccines thereto. Advanced digital imaging and processing techniques are used to determine the presence or absence of viruses or antibodies within a fluid sample. The systems and methods are versatile, and can be used to determine specific properties of biomaterials and viruses, such as titer value, concentration, genotype, phenotype, serotype, vaccine efficacy, viral resistance and other properties of relevance in the medical, research and development fields. Also provided are systems and methods of standardization, repeatability, and data storage and transmittal to reduce errors and subjectivity inherent to conventional assays characterized by human readers.

Abstract: A spacer wafer for a wafer-level camera, a wafer-level camera including the spacer wafer and a method of manufacturing a spacer wafer include a layer of photoresist being formed over a substrate, the layer of photoresist being exposed to radiation through a mask that defines a spacer geometry for at least one wafer-level camera element. The layer photoresist is developed, such that the layer of photoresist is the spacer wafer for the wafer-level camera.

Abstract: The systems and methods contained herein are directed toward automated analysis of agglutination reactions to determine properties of materials, including viruses and vaccines thereto. Advanced digital imaging and processing techniques are used to determine the presence or absence of viruses or antibodies within a fluid sample. The systems and methods are versatile, and can be used to determine specific properties of biomaterials and viruses, such as titer value, concentration, genotype, phenotype, serotype, vaccine efficacy, viral resistance and other properties of relevance in the medical, research and development fields. Also provided are systems and methods of standardization, repeatability, and data storage and transmittal to reduce errors and subjectivity inherent to conventional assays characterized by human readers.

Abstract: Suspended lenses in a spacer wafer and lens-in-a-pocket structures are replicated from UV-transparent molds. The fabrication of UV-transparent molds can include providing a substrate with pedestals, fabricating a lens on each pedestal using a step-and-repeat process, replicating an intermediate mold from the substrate with pedestals having lenses on the pedestals, and replicating a UV-transparent mold from the intermediate mold. The fabrication of UV-transparent molds can also include providing a substrate with holes, fabricating a lens in each hole and replicating a UV-transparent mold from the substrate with the holes having the lenses.

Abstract: A spacer wafer for a wafer-level camera, a wafer-level camera including the spacer wafer and a method of manufacturing a spacer wafer include a layer of photoresist being formed over a substrate, the layer of photoresist being exposed to radiation through a mask that defines a spacer geometry for at least one wafer-level camera element. The layer photoresist is developed, such that the layer of photoresist is the spacer wafer for the wafer-level camera.

Abstract: A spacer wafer for a wafer-level camera and a method of manufacturing the spacer wafer include positioning a substrate in an additive manufacturing device and forming the spacer wafer over the substrate. The spacer wafer is formed by an additive manufacturing process.

Abstract: Suspended lenses in a spacer wafer and lens-in-a-pocket structures are replicated from UV-transparent molds. The fabrication of UV-transparent molds can include providing a substrate with pedestals, fabricating a lens on each pedestal using a step-and-repeat process, replicating an intermediate mold from the substrate with pedestals having lenses on the pedestals, and replicating a UV-transparent mold from the intermediate mold. The fabrication of UV-transparent molds can also include providing a substrate with holes, fabricating a lens in each hole and replicating a UV-transparent mold from the substrate with the holes having the lenses.

Abstract: A spacer wafer for a wafer-level camera, a wafer-level camera including the spacer wafer and a method of manufacturing a spacer wafer include a layer of photoresist being formed over a substrate, the layer of photoresist being exposed to radiation through a mask that defines a spacer geometry for at least one wafer-level camera element. The layer photoresist is developed, such that the layer of photoresist is the spacer wafer for the wafer-level camera.

Abstract: A spacer wafer for a wafer-level camera and a method of manufacturing the spacer wafer include positioning a substrate in an additive manufacturing device and forming the spacer wafer over the substrate. The spacer wafer is formed by an additive manufacturing process.

Abstract: A system, method and software product to optimize optical and/or digital system designs. An optical model of the optical system design is generated. A digital model of the digital system design is generated. Simulated output of the optical and digital models is analyzed to produce a score. The score is processed to determine whether the simulated output achieves one or more goals. One or more properties of at least one of the optical model and the digital model is modified if the goals are not achieved. The analyzing, processing and modifying is repeated until the goals are achieved, and an optimized optical system design and optimized digital system design are generated from the optical and digital models.