The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.

An ophthalmologic apparatus of an embodiment example includes a front image acquiring device, a first search processor, and a second search processor. The front image acquiring device is configured to acquire a front image of a fundus of a subject's eye. The first search processor is configured to search for an interested region corresponding to an interested site of the fundus based on a brightness variation in the front image. The second search processor is configured to search for the interested region by template matching between the front image and a template image in the event that the interested region has not been detected by the first search processor.

A processing apparatus includes a holding section that holds a processing target, an imaging section that is positionally fixed with respect to the holding section, and images a surface of the processing target, and a control section that controls the imaging section to image the surface of the processing target in a state in which the holding section holds the processing target.

A processing apparatus includes a holding section that holds a processing target, an imaging section that is positionally fixed with respect to the holding section, and images a surface of the processing target, and a control section that controls the imaging section to image the surface of the processing target in a state in which the holding section holds the processing target.

A system and method for a master platform includes receiving first pose data associated with an image sensor of a first device, and a first semantic map generated by the first device, the first semantic map including a simplified object representation in a coordinate space of the first device. The master platform also receives second pose data associated with an image sensor of a second device, and a second semantic map generated by the second device, the second semantic map including a simplified object representation in a coordinate space of the second device. A shared simplified object representation common to the first and semantic maps is identified. The master platform further combines the first semantic and second semantic maps based on the first and second pose data. The first pose data, first semantic map, second pose data, and second semantic map are associated with a common time interval.

A lottery ticket pack verification system and method for simultaneously scanning a plurality of picked lottery ticket packs and for determining if the scanned lottery ticket packs are the correct lottery ticket packs based on a lottery ticket pack pick list.

A texture recognition device and a manufacturing method thereof are provided. The texture recognition device includes a backlight component and a photosensitive component. The photosensitive component is on a light-outputting side of the backlight component and configured to detect light emitted by the backlight component and reflected by a texture of a detection object to recognize an image of the texture of the detection object. The photosensitive component includes a plurality of photosensitive sensors and an antistatic layer on a side, away from the backlight component, of the plurality of photosensitive sensors, and orthographic projections of the plurality of photosensitive sensors on a plane where the antistatic layer is located are within the antistatic layer.

A texture recognition device and a manufacturing method thereof are provided. The texture recognition device includes a backlight component and a photosensitive component. The photosensitive component is on a light-outputting side of the backlight component and configured to detect light emitted by the backlight component and reflected by a texture of a detection object to recognize an image of the texture of the detection object. The photosensitive component includes a plurality of photosensitive sensors and an antistatic layer on a side, away from the backlight component, of the plurality of photosensitive sensors, and orthographic projections of the plurality of photosensitive sensors on a plane where the antistatic layer is located are within the antistatic layer.

A method of detecting a biometric feature with an electronic device and the method includes the following steps. Firstly, a detection region of the electronic device is provided, and the electronic device includes a plurality of first color pixels, a plurality of second color pixels, and a sensor module. Then, a first color light and a second color light are respectively generated by turning on at least a portion of the first color pixels and at least a portion of the plurality of second color pixels in the detection region. Next, a first area and a second area are simultaneously generated by the first color and the second color light, wherein the first area and the second area are overlapped with the detection region, and the sensor module is overlapped with the detection region. Finally, a biometric feature is determined.

Systems and methods for controlling performance of a digital character depicted at a display device are disclosed. According to at least one embodiment, a method for controlling performance of a digital character depicted at a display device includes: determining a presence of a person located in a physical environment; and in response to determining the presence of the person, facilitating control of the performance of the digital character depicted at the display device by a human operator, by an artificial intelligence (AI) game-engine, or by a combination thereof.