An endoscope assembly has an endoscope, having an optical waveguide and having an image guide, wherein the image guide is configured to be uninterrupted up to its proximal end and has an image guide interface at its proximal end for optical connection to an image capturing unit, an illumination unit having a light source and having an optical waveguide interface for optical connection of the light source to an optical waveguide, and an image capturing unit having an image sensor and having an image guide interface for optical connection of the image sensor to an image guide.

An endoscope apparatus includes a compression processing control unit configured to carry out a compression processing of compressing image data by using a compression parameter to generate compressed data, a monitor that is a display unit configured to display a display image corresponding to the image data, an information quantity detection unit configured to detect a quantity of information on an object contained in the image data, and a judgement unit configured to carry out a judgement processing of judging whether or not a judgement value corresponding to the quantity of information is smaller than a predetermined threshold. The image pickup of the object and the generation of the image data are continuously performed multiple times, and the judgement processing is carried out whenever the image data is generated. The compression parameter and the display image are determined based on a result of the judgement processing.

An image processing system may include an imaging device for capturing an image and an image processing apparatus for processing the image. The imaging device may include an imaging unit for capturing the image, a first recording unit for recording information relating to the image, the information being associated with the image, and a first transmission control unit for controlling transmission of the image to the image processing apparatus. The image processing apparatus may include a reception control unit for controlling reception of the image transmitted from the imaging device, a feature extracting unit for extracting a feature of the received image, a second recording unit for recording the feature, extracted from the image, the feature being associated with the image, and a second transmission control unit for controlling transmission of the feature to the imaging device.

The present invention provides to a recording apparatus and method for recording data, in particular video data associated with a vehicle. Video data are only recorded, as long as a predefined trigger event is true. Upon detecting such a trigger event, the trigger event is further analyzed and the recording of the video data is immediately stopped when it is detected that the trigger event is no longer valid. In this way, the recording of the video data can be limited for reducing the amount of video data to be stored. According to further embodiments, the amount of video data to be recorded can be further minimized by adapting the video frame rate, the resolution, and compression rate or color format of the video data.

The present application discloses an intelligent processing method and system for video data, wherein, in the method an intelligent camera set a warning rule, the method comprises: the intelligent camera collecting video data and analyzing the collected video data in real time, generating intelligent data if the warning rule is met, which intelligent data contain an encoder identifier and motion trajectory information; the intelligent camera packaging the video data and the intelligent data into a program stream and sending it to a frame analyzing component in a cloud storage system; the frame analyzing component unpacking the received program stream to obtain the video data and the intelligent data, and storing the video data and the intelligent data in storage components respectively; the storage components sending storage address information of the video data and the intelligent data to an index server for recording respectively. The solutions of the present application can perform intelligent processing for the collected video data in real time.

Provided are a liquid surface inspection device, an automated analysis device, and a liquid surface inspection method with which instances of contamination can be minimized and the accuracy of the manner in which the surface conditions, such as bubbles or the like, of a liquid substance are detected can be enhanced. The device has: a light illumination unit for illuminating a container holding a liquid substance, as well as the surface of the liquid substance, with light; an image capture unit for acquiring a video image having at least color information and brightness information of light from the container and the liquid substance which are illuminated by the light illumination unit; and a detection unit for using the color information and brightness information in the video image captured by the image capture unit to detect the condition of the liquid surface.

In one embodiment, an image analysis is performed on an image captured using a camera mounted on an autonomous vehicle, the image representing an exterior environment of an autonomous vehicle. Localization information surrounding the autonomous vehicle is obtained at a point in time. A perception of an audience external to the autonomous vehicle is determined based on the image analysis and the localization information. One or more content items are received from one or more content servers over a network in response to the perception of the audience. A first content item selected from the one or more content items is displayed on a display device mounted on an exterior surface of the autonomous vehicle.

Systems and methods for immersive and collaborative video surveillance, in the commercial security industry are provided. Some methods can include receiving a video data stream from a surveillance camera in a monitored region via a cloud network, a user interface device of or coupled to a virtual reality headset displaying the video data stream, and the user interface device receiving user input corresponding to a movement of a user's body to navigate the video data stream and simulate the user navigating the monitored region from within the monitored region.

An imaging device includes a pixel region in which a plurality of pixels, each including a photoelectric converter, are arranged, including an effective pixel region, an optical black region covered with a light-shielding film, and a dummy pixel region arranged between the effective pixel region and the optical black region. The pixels arranged in at least the effective pixel region and the optical black region among the plurality of the pixels each include an optical waveguide arranged above the photoelectric converter. The pixels including the optical waveguides are arranged between the effective pixel region and the optical black region so as to be spaced apart from each other by at least a one-pixel pitch.

The various implementations described herein include methods, devices, and systems for detecting motion and persons. In one aspect, a method is performed at a smart home system that includes a video camera, a server system, and a client device. The video camera captures video and audio, and wirelessly communicates, via the server system, the captured data to the client device. The server system: (1) receives and stores the captured data from the video camera; (2) determines whether an event has occurred, including detected motion; (3) in accordance with a determination that the event has occurred, identifies video and audio corresponding to the event; and (4) classifies the event. The client device receives information indicative of the identified events, displays a user interface for reviewing the video and audio stored by the remote server system, and displays the at least one classification for the event.