The invention relates to the domain of microscope based imaging. The invention provides methods and apparatuses for providing improved microscope based digital imaging solutions that are capable of providing high quality images with a high level of image detail. The invention additionally provides solutions for artificial intelligence based controlling of a digital microscope's imaging functions to enable bright field/dark field imaging functionality to be combined with spectroscopic functions to obtain higher detail and more meaningful information about a specimen sample.

The invention relates to the domain of microscope based imaging. The invention provides methods and apparatuses for providing improved microscope based digital imaging solutions that are capable of providing high quality images with a high level of image detail. The invention additionally provides solutions for artificial intelligence based controlling of a digital microscope's imaging functions to enable bright field/dark field imaging functionality to be combined with spectroscopic functions to obtain higher detail and more meaningful information about a specimen sample.

For a solid-state imaging element that executes image recognition processing, versatility is improved.

The solid-state imaging element includes a processing section, a digital signal processing section, and an output interface. The processing section selects any one of a plurality of DNNs (Deep Neural Networks) with different formats of an output tensor. The digital signal processing section executes image recognition processing on an input tensor by use of the selected DNN to generate the output tensor. The output interface outputs a decode parameter for decoding the generated output tensor and the output tensor.

For a solid-state imaging element that executes image recognition processing, versatility is improved.

The solid-state imaging element includes a processing section, a digital signal processing section, and an output interface. The processing section selects any one of a plurality of DNNs (Deep Neural Networks) with different formats of an output tensor. The digital signal processing section executes image recognition processing on an input tensor by use of the selected DNN to generate the output tensor. The output interface outputs a decode parameter for decoding the generated output tensor and the output tensor.

An information processing apparatus determines a plurality of sampling points in a range of a target object's silhouette having different specular reflectances in polarization images in a plurality of azimuths, extracts polarization luminance at the sampling points in question, and derives change in luminance relative to the polarization azimuth, thus acquiring, as a phase angle, the azimuth that provides the highest luminance. Then, the information processing apparatus evaluates a characteristic of the change in phase angle relative to the change in the specular reflectance, thus identifying a subject's surface roughness. Further, the information processing apparatus generates data to be output by performing a process according to the surface roughness and outputs the generated data.

An apparatus for direct optical recording of skin prints has a display below the placement surface and a light guide layer below the display. The light guide layer has light in-coupling at a narrow side and light out-coupling structures in the surface. By means of angles ε of the light out-coupling structures and differences in the refractive indices of the neighboring layers, a directed coupling out of light occurs in the direction of the placement surface causing a total internal reflection at the placement surface. The display has a transparency of at least 1% of the coupled out light. A first and second adhesion layers are between the display and the light guide layer and between the light guide layer and the sensor layer. The refractive indices of the adhesion layers are at least 1% to 30% lower than those of light guide layer, the display and the sensor layer.

An information processing apparatus includes: a first sensor that outputs a first output signal obtained by photoelectrically converting visible light incident through a color filter; a second sensor that outputs a second output signal obtained by photoelectrically converting visible light incident through a color filter or a third output signal obtained by photoelectrically converting light including infrared light incident without going through the color filter; a first processor that generates first image data based on the first output signal, and second image data based on the second output signal or the third output signal; a memory that temporarily stores the first image data and the second image data; a second processor that generates image data obtained by fusing the first image data and the second image data.

A key identification system is provided. The key identification system comprises an imaging system to capture an image of a master key, and a logic to analyze the captured image. The imaging system may be capture an image of a groove in the master key from an angle between perpendicular and parallel to the blade of said master key. The logic analyzes the captured image to compare characteristics of the groove with groove characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank. The key identification system may further compensate for displacement or orientation of the master key with respect to the imaging system when analyzing characteristics of the groove.

A key identification system is provided. The key identification system comprises an imaging system to capture an image of a master key, and a logic to analyze the captured image. The imaging system may be capture an image of a groove in the master key from an angle between perpendicular and parallel to the blade of said master key. The logic analyzes the captured image to compare characteristics of the groove with groove characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank. The key identification system may further compensate for displacement or orientation of the master key with respect to the imaging system when analyzing characteristics of the groove.

An imaging lens system, from an object side to an imaging plane, sequentially includes: a flat glass; a first lens with a negative focal power, a convex object side surface and a concave image side surface; a second lens with a positive focal power, a convex object side surface and a concave image side surface; a stop; a third lens with a positive focal power and a convex image side surface. The imaging lens system meets expressions: f/EPD≤1.64; 0<BFL/IH<0.2; where f represents an effective focal length of the imaging lens system, and EPD represents an entrance pupil diameter of the imaging lens system; BFL represents a distance from a vertex of the image side surface of the third lens to the imaging plane on the optical axis, and IH represents the maximum image height of the imaging lens system.