18 results about "Video assisted" patented technology

This disclosure describes an interactive augmented reality system for improving surgeon's view and context awareness during laparoscopic and video assisted surgeries. Instead of purely relying on computer vision algorithms for image registration between pre-operation (or intra-operation) images / models and later intra-operation scope images, the system can implement an interactive mechanism where surgeons may provide supervised information in initial calibration phase of the augmented reality function, thus achieving high accuracy in image registration. Besides the initialization phase before operation starts, interaction between surgeon and the system can also happens during the surgery. Specifically, patient tissue might move or deform during surgery, caused by for example cutting. The augmented reality system can re-calibrate during surgery when image registration accuracy deteriorates, by seeking additional supervised labeling from surgeons. The augmented reality system can improve surgeon's view during surgery, by utilizing surgeon's guidance sporadically to achieve high image registration accuracy.

The present invention is an apparatus, device or tool for performing endoscopic (that is, minimally invasive) surgery. An exemplary embodiment of the invention includes a video endoscope whilst in another embodiment of the invention includes an endoscopic surgical tool which, when equipped with one of a suite of endoscopic surgical instruments, can be used by a surgeon to perform surgical procedures inside a body. Another embodiment of the present invention includes a suite of endoscopic surgical instruments designed to work co-operatively with the endoscopic surgical tool. In another embodiment of the present invention, a video-assisted endoscopic surgical tool system is provided. In one embodiment, the system includes the video-assisted endoscopic surgical tool and a suite of at least one endoscopic surgical instrument.

The invention belongs to the technical field of data processing, and particularly discloses an intelligent bellyband for household respiratory rehabilitation and a management system.The intelligent bellyband and management system comprises the following steps that thoracic and abdominal movement data are collected through a flexible sensor array, and the thoracic and abdominal movement data comprise thoracic expansion amplitude, abdominal pressure change and blood oxygen saturation information; constructing an initial multi-mode signal set; according to the initial multi-mode signal set, a recurrent neural network is adopted to extract time sequence features, and dynamic feature representation is obtained and used for follow-up fusion processing; performing priority evaluation on respiratory training quality from the dynamic feature representation, and determining key signal subsets to identify potential deviations; if the key signal subset meets a triggering condition, video auxiliary analysis is carried out; the invention aims to solve the problems of multi-mode signal complexity and inaccurate real-time feedback in respiration data acquisition and analysis.

A retractor-camera kit for minimally invasive surgery is provided. The kit includes a retractor comprising at least a top blade and a first side blade connected to one another through a hinge, a handle connected to the retractor, and a camera connected to the retractor via a designated holder to provide visualization of a surgical site while avoiding the need for an additional incision for passing an imaging unit therethrough.

The present invention is an apparatus, device or tool for performing endoscopic (that is, minimally invasive) surgery. An exemplary embodiment of the invention includes a video endoscope whilst in another embodiment of the invention includes an endoscopic surgical tool which, when equipped with one of a suite of endoscopic surgical instruments, can be used by a surgeon to perform surgical procedures inside a body. Another embodiment of the present invention includes a suite of endoscopic surgical instruments designed to work co-operatively with the endoscopic surgical tool. In another embodiment of the present invention, a video-assisted endoscopic surgical tool system is provided. In one embodiment, the system includes the video-assisted endoscopic surgical tool and a suite of at least one endoscopic surgical instrument.

The application discloses a video auxiliary-based text reconstruction model training method and device, which comprises the following steps: training a to-be-trained text model according to all determined training samples, obtaining a trained text model, and judging whether the trained text model converges; wherein, when the to-be-trained text model is trained, the input content of the feature fusion layer included in the to-be-trained text model comprises a text feature vector corresponding to a sample text in any training sample and a video feature vector corresponding to the sample text and generated in advance; and if yes, the trained text model is determined as a text reconstruction model. It can be seen that the text reconstruction model can be trained with the aid of the video feature vector, which is not only beneficial to the user to quickly produce a video text through the text reconstruction model without repeatedly correcting the video text, but also beneficial to improving the matching degree between the generated video text and the video, thereby meeting the production demand of the user for the video text.

This invention relates to the fields of medical auxiliary diagnosis and computer vision technology, specifically to a multimodal video-assisted diagnostic method and system for Parkinson's disease based on Transformer and attention fusion. First, video data of the subject's hand pinching motion and linear back-and-forth walking motion are acquired and a unified sample label is established. Then, video preprocessing is completed through preprocessing, sliding time window segmentation, and data augmentation. Next, the preprocessed temporal image sequence is input into a spatiotemporal modeling network, where a visual Transformer is used to extract frame-level spatial features. A multi-layer long short-term memory network is then combined to capture long-term temporal motion dynamic information. Finally, a modality-level spatiotemporal attention fusion method adaptively learns modality weights and achieves feature fusion. Finally, the fused features are input into a classification network, outputting prediction results for Parkinson's disease patients or healthy controls. This invention comprehensively characterizes the motion features of the disease through multimodal fusion and accurate spatiotemporal modeling, improving diagnostic accuracy and robustness.

An object of a system according to an embodiment is to intuitively assist an elderly person with a video or a sound when the elderly person operates a smartphone.SOLUTION: A system according to an embodiment includes an action pattern learning part, a video assist part, and a voice assist part. The behavior pattern learning unit learns a behavior pattern of the elderly person. The video assist unit assists an operation with a video on the basis of the action pattern learned by the action pattern learning unit. The voice assist unit assists the operation by voice based on the action pattern learned by the action pattern learning unit.SELECTED DRAWING: Figure 1

The present invention relates to a tracheostomy tube obturator inserted into the tracheostomy tube so as to close the tracheostomy tube. According to the tracheostomy tube obturator of the present invention, the tracheostomy tube obturator comprises an endoscope, which is inserted into the tracheostomy tube, has a monitor mounted and fixed to the distal end thereof, has a camera module and a lighting module provided at the proximal end thereof, integrally extends from the monitor and is exposed to the proximal end of the obturator, so that, when the tracheostomy tube is replaced, the monitor stably monitors from the insertion point of the neck to the inside of the trachea so as to prevent the tracheostomy tube from entering a false lumen, and prevents damage to surrounding tissue and blood vessels so that fatal accidents due to complications can be prevented.

The invention discloses a short video auxiliary shooting scoring method based on an AI multi-mode model. The short video auxiliary shooting scoring method comprises the following steps: S10, video acquisition; s20, video analysis: performing multi-dimensional fusion analysis on the standardized video data by adopting a vision-audio-semantic multi-modal fusion analysis algorithm to obtain a multi-dimensional fusion analysis result; s30, score generation: according to a multi-dimensional fusion analysis result, calculating by adopting a dynamic weight adaptive algorithm to obtain a comprehensive score of the to-be-analyzed short video; s40, bright spot identification: extracting index data meeting a quantitative excellent standard from a multi-dimensional fusion analysis result, and identifying and summarizing shooting bright spots of the short video by combining content characteristics of the short video; s50, defect identification is carried out; s60, optimization suggestion generation: on the basis of the identified shooting defects, a targeted overall optimization suggestion is generated in combination with the reservation demand of the shooting bright spots; and S70, outputting a result.

The disclosure relates to an AI-enhanced system for video-assisted medical procedures. It offers enhanced depth perception and real-time anatomical highlighting, integrating AI algorithms with existing medical imaging systems. The system includes continuous learning, broad applicability across various procedures, a user-friendly interface, and cloud-based updates, significantly enhancing medical procedural safety, accuracy, and efficiency.

A method includes identifying one or more surgically-related characteristics and correlating the one or more surgically-related characteristics with a surgical instrument layout stored in a database and based on a surgical procedure to be performed. The surgical instrument layout includes a type and quantity of one or more surgical instruments one or more physical dimensions of the one or more surgical instruments, and orientations of the one or more surgical instruments. The method further includes displaying on a display screen the surgical instrument layout; and projecting the surgical instrument layout onto a surgical table.

Method for inspecting sewer lines, in particular for damage assessment, with a crawler (14) movable in a channel (8) with at least one camera module (30) and a camera control unit (15) for recording at least one first video sequence (4) by the camera module (30), the signals of which can be transmitted via a data transmission device (13), preferably a cable, to an inspection vehicle (1) during the inspection and stored there in a first storage module (28) in the inspection vehicle (1), wherein during the recording of the first, potentially faulty video sequence (4) the camera module (30) records an identical, local second video sequence (5) and stores it in a camera-connected second storage module (18), and that in an evaluation phase following the inspection phase the two video sequences (4, 5) are read out in the inspection vehicle (1) and compared with each other,wherein their quality is assessed visually and / or mechanically, and that, depending on the assessment criterion, either time- or frame-dependent replacement of the first potentially faulty video sequence (4) by parts of the second video sequence (5) takes place in order to provide a video sequence free of interference signals and failures.

The disclosure provides a kind of self-learning method and system based on non-inductive feedback chemical fault diagnosis, by constructing the operation state perception system of multi-source data fusion, in the setting time window, combined with water quality index change trend, control operation log and equipment operation image constructs non-inductive feedback verification model, realizes the automatic verification and correctness discrimination of preliminary diagnosis result;Further, according to the verification result, the weight of the diagnosis rule node is dynamically adjusted, the secondary diagnosis is triggered for the wrong diagnosis, and the alternative rule path is introduced, while the rule base is scanned regularly for frequency and accuracy, and dynamic optimization operations such as node weight attenuation, redundant path compression and new rule structured insertion are implemented;In addition, the multi-cycle fault mode feature distribution weight dynamic adjustment mechanism and video auxiliary multi-modal consistency verification are introduced, so that the system can adapt to high-frequency and high-risk faults, and enhance the identification ability of physical and chemical coupled faults.

This disclosure describes an intra-operative anatomical structure tracking and alerting system for improving surgeon's context awareness during laparoscopic and video-assisted surgeries. During laparoscopic and video-assisted surgeries, a surgeon can mark anatomical structures for the system to track (for example: vessel, nerve, bile duct, triangle of pain in hernia repair, etc.), then continue with the surgery. When the scope moves, such a marked structure may become invisible. The system uses SLAM (Simultaneous Localization and Mapping) to track and recover the precise location of the scope. When the camera moves to an angle where the previously marked structure becomes visible again, the system will redraw the marks to indicate successful tracking of such a structure. Also, if a surgical tool (for example, energy device) comes near the anatomical structure, an alert (for example, sound or visual alert on screen) can be sent to the surgeon for caution.

The invention discloses a tower drum-blade distance measurement and tower sweeping prevention system and method for a wind driven generator. The system adopts millimeter wave radar (optional video assistance) and unit attitude information to perform time synchronization and external parameter calibration, establishes a tower drum curved surface and impeller rotation geometric model, calculates the minimum distance (dmin) and the contact time (TTC) of a blade and a tower drum in real time, and triggers linkage control of sound and light, limited power / limited rotating speed, feathering, emergency shutdown and the like according to a threshold value. The scheme can still stably operate in rainy and foggy days and at night, and is suitable for tower-sweeping-prevention safety control of newly-built and reconstructed units.

The invention relates to a radar flow measurement method based on video assistance. The method comprises the following steps: S1) measuring the vertical distance between the water level radar device and the liquid level by using the water level radar device, and sending the vertical distance value to a visual system with a video acquisition device; s2) acquiring a first water surface flow velocity by using a visual system, and transmitting the first water surface flow velocity to a flow velocity radar device; and S3) a speed measurement interval is set based on the first water surface flow velocity, the flow velocity radar device calculates a Doppler frequency shift interval corresponding to the speed measurement interval, a frequency reflecting the water flow velocity is found in the Doppler frequency shift interval, and the final water surface flow velocity is calculated according to the frequency.

1. The name of the design product: graphical user interface for car video auxiliary of electronic equipment. 2. The use of the design product: for displaying information, running programs, and realizing the graphical user interface of car control audio and video, vehicle panoramic monitoring video, driving obstacle avoidance video, parking auxiliary display and operation. 3. The design points of the design product: the graphical user interface and its interaction process. 4. The picture or photo that best shows the design points: design 1 interface change state figure 1. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: in the main view of design 1, click the rightmost video auxiliary icon to enter design 1 interface change state figure 1 and switch to four-quadrant picture mode; in design 1 interface change state figure 1, click the camera icon below to enter design 1 interface change state figure 2 and switch to three-quadrant picture mode with enlarged rear area; in the main view of design 2, click the rightmost video auxiliary icon to enter design 2 interface change state figure 1 and switch to four-quadrant picture mode; in design 2 interface change state figure 1, click the camera icon above to enter design 2 interface change state figure 2 and switch to three-quadrant picture mode with enlarged front area; in the main view of design 3, click the rightmost video auxiliary icon to enter design 3 interface change state figure 1 and switch to four-quadrant picture mode; in design 3 interface change state figure 1, click the camera icon on the right to enter design 3 interface change state figure 2 and switch to three-quadrant picture mode with enlarged right area; in the main view of design 4, click the rightmost video auxiliary icon to enter design 4 interface change state figure 1 and switch to four-quadrant picture mode; in design 4 interface change state figure 1, click the camera icon on the left to enter design 4 interface change state figure 2 and switch to three-quadrant picture mode with enlarged left area. 7. Other notes: The area coated with gray block in each design belongs to the content picture; the content displayed in the area coated with gray block in design 1 interface change state diagram 1 is shown in design 1 usage state reference diagram 1; the content displayed in the area coated with gray block in design 1 interface change state diagram 2 is shown in design 1 usage state reference diagram 2; the content displayed in the area coated with gray block in design 2 interface change state diagram 1 is shown in design 1 usage state reference diagram 1; the content displayed in the area coated with gray block in design 2 interface change state diagram 2 is shown in design 2 usage state reference diagram 3; the content displayed in the area coated with gray block in design 3 interface change state diagram 1 is shown in design 1 usage state reference diagram 1; the content displayed in the area coated with gray block in design 3 interface change state diagram 2 is shown in design 3 usage state reference diagram 4; the content displayed in the area coated with gray block in design 4 interface change state diagram 1 is shown in design 1 usage state reference diagram 1; the content displayed in the area coated with gray block in design 4 interface change state diagram 2 is shown in design 4 usage state reference diagram 5.