A system and method detects falling incidents on structures such as cruise vessels, oil rigs, overpasses, and buildings, and also detects overboarding movements onto structures such as cargo ships. The system includes at least two opposed imaging devices which record video streams of a detection cuboid within an overlapping region of view volumes for the imaging devices. The imaging devices monitor objects that pass through the cuboid. Identified objects within the video streams are paired, their conformance is determined, and real-world information such as size, trajectory, and location is determined.

A CMOS image sensor for a code reader in an optical code recognition system incorporates a digital processing circuit that applies a calculation process to the capture image data as said data acquired by the sequential readout circuit of the sensor, in order to calculate a macro-image from the capture image data, which corresponds to location information of code(s) in the capture image, and transmit this macro-image in the image frame following the capture image data, in the footer of the frame.

The invention relates to a method for distinguishing, detecting and counting persons and/or objects in vehicles for conveying persons and/or goods, with the method steps: emitting radiation from a radiation source, deflecting the radiation with an element for deflecting the radiation, generating a light pattern in a detection region with a beam density ρ.sub.s of 5*10.sup.2/4*πsr.sup.−1≤ρ.sub.s≤10.sup.6/4*πsr.sup.−1, and detecting the radiation backscattered by persons and/or objects situated in the detection region in a radiation detector, as well as a corresponding person and/or object counting device.

A method for authenticating an object, comprising determining a physical dispersion pattern of a set of elements, determining a physical characteristic of the set of elements which is distinct from a physical characteristic producible by a transfer printing technology, determining a digital code associated with the object defining the physical dispersion pattern, and authenticating the object by verifying a correspondence of the digital code with the physical dispersion pattern, and verifying the physical characteristic.

An apparatus includes a dynamic vision sensor (DVS) configured to output an asynchronous stream of sensor event data, and a complementary metal-oxide-semiconductor (CMOS) image sensor configured to output frames of image data. The apparatus further includes a hybrid feature handler configured to receive, as an input, one or more of a DVS output or a CMOS image sensor output, and provide tracked features to a visual-inertial simultaneous location and mapping (SLAM) pipeline performing inside-out device tracking, and a sensor scheduler configured to switch off the CMOS image sensor based on a current value of one or more CMOS control factors.

Systems and methods for optical sensing, visualization and detection in media (e.g., turbid media; turbid water; fog; non-turbid media). A light source and an image sensor are positioned in turbid media or external to the turbid media with the light source within a field of view of the image sensor array. Temporal optical signals are transmitted through the turbid media via the light source and multiple perspective video sequence frames are acquired via the image sensor array of light propagating through the turbid media. A three-dimensional image is reconstructed from each frame and the reconstructed three-dimensional images are combined to form a three-dimensional video sequence. The transmitted optical signals are detected from the three-dimensional video sequence by applying a multi-dimensional signal detection scheme.

A photoelectric fingerprint identification apparatus, a terminal, and a fingerprint identification method are provided. The apparatus includes: a light-emitting unit, where the light-emitting unit generates at least a first light signal and a second light signal; a photoelectric fingerprint sensor, where the photosensitive fingerprint sensor includes a first sensing region and a second sensing region that do not overlap each other, and the first sensing region is covered with an infrared filter; an image detection unit, configured to detect reflected light energy of the first sensing region to obtain fingerprint information; and a living body detection unit, configured to detect reflected light energy of the second sensing region to obtain living body detection information.

A commodity imaging apparatus in which a camera does not protrude into a space above a commodity placement table is provided. A commodity imaging apparatus (10) includes a commodity placement table (1), a support pillar (2), and an imaging unit (3). The commodity placement table (1) includes a roughly square placement surface (1e). The support pillar (2) is disposed at one corner (1a) of the placement surface (1e). The imaging unit (3) is disposed in the support pillar (2) so as to take an image of a commodity (G1) placed on the placement surface (1e) from obliquely above the commodity (G1). A camera (31) of the imaging unit (3) does not protrude into a space above the commodity placement table (1).

Various implementations determine a pupil characteristic (e.g., perimeter location, pupil shape, pupil diameter, pupil center, etc.) using on-axis illumination. On-axis illumination involves producing light from a light source that is approximately on-axis with an image sensor configured to capture reflections of the light from the light source off the eye. The light from the light source may passes through the pupil into the eye and reflect off the retina to produce a bright pupil-type light pattern in data obtained by the image sensor. The light may be pulsed at a frequency so that frequency segmentation may be used to distinguish reflections through the pupil off the retina from reflections of light from other light sources. In some implementations, the image sensor is an event camera that detects events. The pupil characteristics may be assessed by assessing events that recur in a given area at the given frequency.

An optical fingerprint assembly includes: a fingerprint sensor configured to collect a light signal for fingerprint identification; a color temperature sensing unit configured to collect a light signal for color temperature detection; a fingerprint signal processing circuit connected to the fingerprint sensor and configured to process the light signal collected by the fingerprint sensor to generate a fingerprint signal; a color temperature signal processing unit connected to the color temperature sensing unit and configured to process the light signal collected by the color temperature sensing unit to generate a color temperature signal; and a control unit connected to the fingerprint signal processing circuit and the color temperature signal processing unit, the control unit being configured to generate fingerprint information according to the fingerprint signal and to generate color temperature information of ambient light according to the color temperature signal.