75 results about "EXAMINATION ROOM" patented technology

This invention discloses an end-to-end examination behavior analysis method and system, comprising a video input management module, a video decoding module, an image preprocessing module, a raw frame prediction queue, a raw frame queue, an AI module, an analysis result recording module, and an abnormal event video generation module. It utilizes an end-to-end AI model training and inference scheme, enabling efficient training using large amounts of historical data. In practice, it offers fast processing speed and high efficiency. The end-to-end AI model takes continuous video frames as input and outputs bounding boxes indicating suspected violations after inference. In the post-processing section, the model output undergoes spatiotemporal correlation and filtering to finally generate spatiotemporal location information of suspected violations. It exhibits good scene adaptability; when new scenes are needed or new actions to be identified are added, only new training data needs to be added and retrained to expand the algorithm, saving manpower and improving efficiency.

The utility model relates to the technical field of heat supply pipe detection, and discloses a heat supply pipeline leakage monitoring device. The objective of the utility model is to solve the technical problems of high manual inspection cost, untimely water leakage point discovery, insufficient detection data accuracy and lack of remote monitoring capability in the prior art. The device comprises a temperature sensor and a liquid level sensor, the detection signal output end is connected with the microcontroller through the signal processing circuit so as to collect temperature and liquid level data of the sensing module, and the microcontroller is connected with the application module through the wireless transmission module; the application module comprises a data processing part and a display interaction part, the data processing part comprises a computer provided with data processing software, and the display interaction part comprises a display screen arranged in the examination room and mobile electronic equipment provided with a client. The system can monitor whether the pipeline leaks or not, reduces energy loss, reduces inspection cost, and is efficient in early warning, high in detection speed and high in precision.

The invention discloses a training method of an attention estimation model and an examination room behavior monitoring method. The examination room behavior monitoring method comprises the following steps: acquiring a head key point, a neck key point, a right shoulder key point and a left shoulder key point of an examinee extracted from a to-be-analyzed image of an examination room monitoring video and an image block intercepted by using a human body detection frame; inputting the key points and the used image blocks into a pre-trained attention estimation model to obtain attention orientation vector estimation values of the examinees; obtaining a target attention orientation vector range; and when the attention orientation vector estimation value of the examinee is not within the target attention orientation vector range, it is judged that the examinee may have a turn-around behavior. According to the method, the requirement for face information is abandoned, and the corresponding attention orientation estimation model is obtained through training of a deep learning regression algorithm from main human body key points. And judging whether the examinee has an unreasonable turn-around behavior or not in cooperation with a use strategy of a specific examination room monitoring scene.

The invention relates to an intelligent online patrol comprehensive management platform, and belongs to the technical field of intelligent monitoring and management. The platform adopts a multi-layer distributed architecture and comprises a data acquisition layer, a transmission layer, a platform layer and an application layer. The platform layer integrates a video resource unified access module, an artificial intelligence behavior analysis module, a patrol task scheduling engine, a multi-stage patrol management module and an early warning disposal closed-loop management module. Multi-source video streams are integrated through a standard protocol, video streams of key areas such as examination rooms and test paper storage rooms are analyzed in real time by using a deep learning algorithm, and illegal behaviors such as abnormal number of people and going out with articles are automatically identified and intelligently early warned. Meanwhile, the system supports multi-stage collaborative patrol and disposal process closed-loop management, full-process automation and intelligentization from problem discovery, early warning pushing, task disposal to result feedback are achieved, the supervision efficiency, accuracy and response speed of examination patrol are remarkably improved, and manual dependence is reduced.

This invention relates to the field of medical information technology and scheduling, and discloses a method for scheduling appointments based on medical ultrasound department data. The method addresses the hidden conflict of existing systems neglecting the reprocessing of intracavitary probes, leading to idle examination rooms but no available probes, and the time drift caused by continuous high-load scanning by operators. This solution collects patient requests and extracts probe status, estimating the expected time to offset individual differences; reads historical probe reprocessing events to obtain the processing time including the cleaning to storage and release cycle; combines the above time parameters to extrapolate the actual available time for each candidate appointment; further, it calculates the comprehensive cost of the candidate appointments based on historical delay results, selects the scheme with the minimum cost for dynamic scheduling, and corrects the historical average based on measured data in a closed-loop manner. This invention effectively alleviates queuing deadlock and improves the accuracy of resource scheduling in ultrasound departments.

1. The name of the design product: signal shield. 2. The use of the design product: for shielding or interfering with various communication signals in the examination room. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a kind of cloud examination room control method, device, equipment and storage medium, the method includes: determining and the same target test question of pre-set standard test question difficulty and the content different target test question, and target test paper is generated based on the target test question;Monitor the behavior state when examinee answers the target test paper;According to the behavior state, it is judged whether the examinee exists cheating abnormal behavior, and according to the judgment result and the answer condition of the examinee answering the target test paper, control is carried out to cloud examination room.Through the above-mentioned mode, target test question is determined and target test paper is generated based on target test question, the behavior state when examinee answers is detected and it is judged whether there is cheating abnormal behavior, and then according to the judgment result and the answer condition control, compared with the existing examination room control method, the above-mentioned mode can accurately judge the behavior of suspected cheating in examination room, and can generate the test paper of different content and the same difficulty, further ensure the fairness of examination.

This invention relates to the field of Internet of Things (IoT) technology, and more particularly to an IoT-based intelligent monitoring method and system for information-based examination rooms. The method includes the following steps: deploying multiple types of IoT sensing terminals to construct a three-dimensional mapping relationship; employing a random time-series and adaptive parameter acquisition strategy, collecting and preprocessing data through the IoT sensing terminals to generate a standardized multimodal feature dataset; inputting the data into a federated enhanced behavior recognition algorithm, aggregating and generating a global model through local feature enhancement and adversarial training, and outputting abnormal event recognition results; executing abnormal handling through a three-dimensional mapping reinforcement learning scheduling algorithm, summarizing the entire process data to complete source tracing, storage, and review optimization, and outputting optimized monitoring parameters. This invention constructs a three-dimensional mapping relationship, combining dynamic acquisition, federated recognition, and intelligent linkage technologies to provide multiple layers of data protection and review optimization, achieving intelligent and precise monitoring of the entire examination process, preventing cheating, reducing labor costs, and ensuring examination fairness.

The invention relates to a dynamic behavior prediction method and device for an examination room target and computer equipment. The method comprises the following steps: acquiring current monitoring videos of each angle of an examination room and figure information of figures in each examination room, and marking the current monitoring videos of each angle to obtain current marked videos of each angle; on the basis of the current marked video of each angle, through a multi-scale feature recognition strategy, recognizing character image features of characters in each examination room, and through a multi-scale time sequence prediction model, predicting character behavior trend information of the characters in each examination room in each angle; and on the basis of the character behavior trend information of each examination room character in each angle, identifying character interaction behavior trend information of each examination room character through a feature fusion strategy, and on the basis of the character interaction behavior trend information of each examination room character, identifying predicted abnormal behavior information of each examination room character through an abnormal behavior evaluation strategy. By adopting the method, the prevention and control effect on the abnormal behaviors in the examination room can be improved.

The invention relates to the technical field of monitoring equipment, and discloses examination room monitoring equipment based on face recognition, which comprises a camera, a support seat is arranged at the bottom of the camera, a supporting plate is rotatably mounted on the support seat, a limiting plate is arranged on the front side of the support seat, an adjusting assembly for adjusting the position of the limiting plate is arranged outside the limiting plate, and a face recognition module is arranged at the bottom of the camera. The adjusting assembly comprises a first rubber pad, a conveying belt, a guide roller, a support, a sliding block and a positioning assembly used for positioning the sliding block. According to the device, the position of the limiting plate can be conveniently adjusted, so that the limiting plate cannot shield an upper picture display area of the display screen, and the situation that examination answering is affected is avoided; and through the arranged limiting assembly, the situation that the limiting plate is excessively adjusted to be separated from the display screen frame in the whole process is avoided, and the situation that equipment is separated and broken is avoided.

The invention relates to the technical field of data management, and discloses an examination room and security room behavior analysis patrol method and system using an intelligent agent, which can focus on the maintenance and management of resources required by an examination in the examination room preparation stage to form high-quality data resources which can be used by a service system. Through communication with a data interface of a comprehensive management platform, effectiveness and accuracy of data are ensured, a mapping relation is formed between identity coding information and examination places in an examination plan by using the received examination plan, so that functions during an examination focus on process control and supervision, false alarm reduction and identification analysis accuracy improvement, and a reexamination instruction is used to improve the accuracy of examination. And the extracted behavior events are rechecked, the conclusion of each behavior event is fed back to the conclusion display end, effective decision support is provided for examination affairs, the intelligent patrol invigilation client is matched, post-event tracing is changed into in-event real-time disposal, and the timeliness of patrol rechecking work is improved.

The application discloses a method, system, device and medium for improving the efficiency of college examination arrangement, wherein the method adopts the mode of matching sessions, examination rooms and invigilators to calculate the value in the relationship matrix to obtain a first relationship matrix for each course arranged by each examination arrangement personnel; the value in the relationship matrix is calculated based on the first relationship matrix, the selected course prompt times and the preset prompt number to obtain a second relationship matrix; the value in the relationship matrix is calculated based on the first relationship matrix, the current course selected prompt times and the total selected prompt times of all selected courses to obtain a third relationship matrix; the examination arrangement containing sessions, examination rooms and invigilators similar to each course in the first relationship matrix is calculated according to the second relationship matrix and the third relationship matrix; and the examination arrangement of each course is selected by performing conflict checking on each examination arrangement. The application can improve the efficiency and accuracy of examination arrangement.

The application discloses an examination room area AI intelligent signaling shield detector detection management and control system, belongs to the technical field of shield detector detection management and control, and comprises an examination room information extraction module, a shield instrument state monitoring module, a shield instrument state analysis module, an examination room signal detection module, a detection signal analysis module, an examination room shielding analysis control module and a feedback early warning terminal. The examination room information extraction module is used for extracting environment configuration information and shield instrument equipment file information of each examination room in a target examination site. The shield instrument state monitoring module is used for receiving a control instruction, sending an opening or closing signal to a shield instrument of a designated examination room, and collecting operation and maintenance state information of each shield instrument in real time and automatically. The shield instrument state analysis module is used for performing hierarchical analysis and quantitative evaluation on the health condition of the shield instrument. On the basis of realizing shield detector detection management and control, the application can also actively detect signals and dynamically adjust the output frequency.

The invention provides a medical image processing device, an X-ray imaging device, an endoscope device and an illumination device. The subject of the invention is to automatically change the illumination of an examination room according to the progress of examination. A medical image is received, preset image processing is performed, and whether or not the medical image is in a predetermined state is determined on the basis of the processing result. When it is determined that the lighting device is in the predetermined state, an instruction is output to the lighting device connected in a wired or wireless manner so as to change the light emission state.

The invention discloses an examination room behavior analysis method based on deep learning, a storage medium and equipment, and the method comprises the steps: collecting an examination room video stream, and manually marking an abnormal behavior region and an abnormal behavior type; constructing an examination room behavior detection model based on a spatial stream and a time sequence stream; taking the collected examination room video stream as the input of an examination room behavior detection model, taking the manually marked abnormal behavior area and the abnormal behavior type as labels, training the examination room behavior detection model until the multi-target loss function converges, and completing the training of the examination room behavior detection model; and inputting an examination room real-time video stream into the trained examination room behavior detection model, and predicting an abnormal behavior region and type in real time. Through the fusion effect of the spatial stream and time sequence stream features, the accuracy of examination room behavior detection is greatly improved, and the whole invigilation process is continuous and effective.

The invention relates to at least one method and at least one localization system for localizing a portable component (6, 13) of an imaging system (1), wherein the portable component (6, 13) is arranged on a patient (8) for an examination procedure, comprising: - Emitting at least one optical localization signal (210, 211, 212) in an imaging area (12) of the imaging modality (11) by at least one optical transmitting element (201, 202, 203), - Receiving the at least one emitted optical localization signal (210, 211, 212) by at least one optical receiving element (220, 221, 222) which is arranged on the portable component (6, 13), - Transmission of at least one received optical localization signal (210, 211, 212) via an optical transmission link (230 - 235) to an electronic evaluation unit (240) which is located outside an examination room (250), and - Localization of the portable component (6 ,13) based on the at least one received optical localization signal (210, 211, 212) by the electronic evaluation unit (240).

This utility model relates to the technical field of welding flaw detection equipment, and discloses a radiographic flaw detection chamber for weld inspection, including a flaw detection room. A push door is slidably connected to the outer side of the flaw detection room, and multiple connecting rods are rotatably connected to the outer side of the push door. A movable groove is formed on the outer side of the flaw detection room, and an internal groove is formed inside the push door. A baffle is slidably connected to the inner wall of the internal groove. A pull rod is fixedly connected to one side of the baffle, and a limit rod is fixedly connected to the other side of the baffle. A spring is sleeved on the outer side of the limit rod. In this utility model, by pulling the handle, the push door fits against the inner wall of the movable groove. The engagement of the locking block and the locking groove further improves the stability of the push door, preventing it from disengaging from the movable groove during inspection. With the cooperation of the sealing strip and the sealing groove, gaps are further reduced, preventing radiation leakage from affecting the use of other electronic equipment and protecting equipment and property safety.

The invention discloses a multi-level suspected cheating risk calculation method and device and a computer readable storage medium. The multi-level suspected cheating risk calculation method comprises the steps of determining an examinee suspected cheating rate corresponding to each examinee in a target examination room; determining an examination room suspected cheating rate of the target examination room according to the examinee suspected cheating rate; according to the examination room suspected cheating rates corresponding to the subordinate target examination rooms of the examination room, determining an examination room suspected cheating rate; determining the suspected cheating rate of the examination area according to the examination site suspected cheating rates corresponding to the examination sites in the examination area; and determining a region suspected cheating rate according to the examination area suspected cheating rates corresponding to the examination areas administered by the region management center. Therefore, by constructing a multi-level risk aggregation mechanism of examinees, examination rooms, examination sites, examination areas and area management centers, identified individual abnormal behaviors are fused into group risk indexes level by level, and risk level division, weighted aggregation and dynamic calibration are introduced into each level. Therefore, systematic risk calculation from local detection to global evaluation is realized.

The application discloses an intelligent inspection method for a special operation physical examination room, and relates to the field of path planning.The method comprises the following steps: acquiring examination room data and environmental parameters in real time, and establishing a real scene navigation map based on the examination room data, wherein the real scene navigation map is used for real-time linkage with the examination room data; acquiring examination room images in real time through an inspection device; extracting image features of the examination room images, and dividing an inspection path into n regions based on the image features, wherein n is a positive integer; based on the real scene navigation map and the image features, a dynamic path planning strategy is executed to generate an inspection path of the inspection device; the environmental parameters and the image features are fused and analyzed to determine a congestion index on the inspection path; based on the congestion index, a dangerous region is determined in the n regions, and the dangerous region is visualized. The application can effectively improve the accuracy of inspection on the special operation physical examination room, thereby effectively reducing the risk hidden danger of the examination room.

The disclosure provides systems and methods for checking sealing tightness of packagings filled with protective gas. In one embodiment, a system includes a longitudinal conveyor, an examination chamber located laterally adjacent to the longitudinal conveyor, and a robot. The longitudinal conveyor to convey products contained in packagings filled protective gas. The examination chamber has a protective-gas sensor system and / or a pressure sensor system. Vacuum can be applied to the examination chamber when closed gas-tight by means of a cover associated with the examination chamber. The robot to lay the products contained in the packaging from the longitudinal conveyor onto a bottom surface of the examination chamber and from the bottom surface of the examination chamber back onto the longitudinal conveyor. The system may include additional examination chambers along the longitudinal conveyor to facilitate individually examining a higher quantity of products per unit of time.

System (1) for a medical imaging examination,- wherein the system (1) comprises a gantry (20) of a medical imaging device, a patient positioning structure (10), a projector (5) and a projection structure (6),- wherein the patient positioning structure (10) is configured for the supine positioning of a person (13) relative to the gantry (20),- wherein the projector (5) is arranged on the gantry (20) and is configured for projecting a projection image onto the projection structure (6),- wherein the projection structure (6) extends like a screen above the patient positioning structure (10) from a gantry-near area of ​​an examination room (8) to a gantry-distant area of ​​the examination room (8) such that the projection image on the projection structure (6) is visible from the patient positioning structure (10) in a viewing direction directed towards a ceiling (88) of the examination room (8).

A simplified examination room includes a first booth and a second booth provided adjacent to each other, interposing a partition wall therebetween, and the partition wall is formed with a through hole allowing an arm to pass through and is provided, at least at an intermediate portion of the partition wall in an up-down direction, with a transparent region allowing a person having entered the first booth and a person having entered the second booth to face each other. A simplified examination room assembly set for producing the simplified examination room includes a frame constituting a framework of the first booth and the second booth, and a panel constituting at least one side of a ceiling part, a floor part, a side face wall, or a back face wall, and a partition wall partitioning the first booth and the second booth.

The invention relates to the technical field, and particularly discloses a GPU-based RFID test paper information processing method, which comprises the following steps of: continuously scanning RFID tags on test paper bags through an RFID card reader to obtain test paper information of each test paper bag; performing preprocessing on each piece of received test paper information; when the batch data triggering condition is met, the CPU generates a GPU wake-up signal; in response to the GPU wake-up signal, switching the GPU from a dormant state to a working state; transmitting a set of the test paper information which is subjected to preprocessing and meets a batch data triggering condition to a GPU (Graphics Processing Unit); a GPU is used for conducting parallel checking processing on the test paper information set to verify the corresponding relation between the test paper number and the examination room number; and after the GPU completes parallel check processing, the GPU is switched back to a dormant state. According to the method, self-adaptive awakening and keeping of the GPU according to the operation rhythm are realized, and the processing continuity and response intelligence of examination paper information checking are effectively improved.

An X-ray diagnostic apparatus of an embodiment includes processing circuitry. The processing circuitry acquires an image of a movable range of a movable unit that can move freely in an examination room where X-ray imaging of a subject is performed, from a camera provided in the examination room, determines the classification of an object present in the movable range on the basis of the image, and controls the operation of X-ray imaging on the basis of the determination results.

The invention relates to an intelligent self-service physical examination system based on the Internet of Things technology, which comprises a control center, an unmanned department, guide bracelets, registration equipment and hospital leaving equipment, and is characterized in that the registration equipment registers identity information of a physical examinee, distributes the guide bracelets corresponding to the identity information to the physical examinee, and transmits the identity information to the control center at the same time; a physical examination person wears a guiding bracelet and sequentially reaches each unmanned department according to the guidance of the guiding bracelet, self-service physical examination equipment of different items is arranged in different unmanned departments, the self-service physical examination equipment verifies the identity through the guiding bracelet, then the physical examination person completes the physical examination items in a self-service mode and transmits the physical examination data to the control center, and after all the physical examination items are completed, the control center sends the physical examination data to the control center. And after the physical examination report is completed, the control center sends the physical examination report to the mobile phone program of the physical examinee. By adopting the scheme, the invention provides the intelligent self-service physical examination system based on the Internet of Things technology, which solves the privacy problem and the doctor resource shortage problem.

The invention discloses an examination room unmanned invigilation method based on a computer network. The examination room unmanned invigilation method comprises the following steps: S1, arranging an invigilation computer and a high-definition camera which are accessed to an examination local area network in an examination room; s2, the invigilation computer obtains video data of an examination room in real time through a high-definition camera; s3, the invigilation computer extracts face information, position information and posture information of the examinee in the video data; s4, the invigilation computer judges whether the face information, the position information and the posture information are abnormal or not through an image recognition technology; and S5, when the face information and / or the position information and / or the posture information are / is abnormal, marking the abnormity as suspected examination cheating, and storing related video data for subsequent manual checking. The face information, the position information and the posture information are extracted, analyzed and judged, the effectiveness of unmanned invigilation is greatly improved, the needed algorithm is simple and easy to implement, and the labor cost is effectively saved.

The invention relates to an examination room abnormal behavior identification method and device and computer equipment. The method comprises the following steps: acquiring a current monitoring video monitored in an examination room, and identifying an examination room desktop detection matrix through a perspective transformation strategy based on a first frame image in the current monitoring video; based on the examination room desktop detection matrix, through a range correction strategy, generating an examinee bit sequence matrix, and based on the examinee bit sequence matrix and the current monitoring video, through an examinee target tracking strategy, generating examinee behavior track information of each examinee; and on the basis of the examinee behavior track information of each examinee, through a dynamic behavior analysis strategy, identifying examinee abnormal behavior information of each examinee. By adopting the method, the monitoring accuracy of the suspicious behaviors in the examination room can be improved.

The utility model relates to the technical field of examination and testing, and discloses a pull-up examination and testing device which comprises an examination horizontal bar and a detection head, an interaction panel is arranged on the left side of the examination horizontal bar, a connecting assembly is arranged at the top of the detection head and comprises a connecting block, the bottom of the connecting block is fixedly connected to the top of the detection head, and the bottom of the connecting block is fixedly connected to the top of the detection head. The connecting block is slidably connected with the outer wall of the examination horizontal bar, clamping grooves which are symmetrical left and right are formed in the connecting block, a connecting plate is slidably connected to the top of the connecting block, and an adjusting assembly is arranged at the bottom end of the interaction panel. According to the utility model, the pull-up number of an examiner is detected through the detection head, when the detection head is installed, the transmission shaft is pressed and rotated, and the transmission shaft extrudes the first spring to generate elastic deformation, so that the effect of rapidly installing and disassembling the detection head without a tool is realized; the problem that a traditional device depends on tools, so that the dismounting and mounting efficiency of the detection head is low is solved, and the examination room deployment and maintenance efficiency is remarkably improved.

The invention discloses a multilevel feature fusion examination room abnormal behavior detection method and device. The method comprises the following steps: constructing a YOLO-EF network model, introducing an RFConv module into a backbone network, and replacing convolution in a Bottleneck structure with RFConv to enhance feature extraction and context sensing capabilities; in the feature fusion stage, a CGAF mechanism is introduced, and dynamic weighted fusion is carried out according to semantic importance of different scale features, so that the detection performance of a long-distance and small-scale target is improved; meanwhile, a GEIT module is provided, joint optimization is carried out on a network shallow layer, a down-sampling path and a feature fusion layer, and the edge feature capturing capability of the network is enhanced. According to the invention, the accuracy and robustness of abnormal behavior detection in an examination room monitoring scene can be improved.

The invention provides a medical imaging equipment control method based on an HIS system, and relates to the technical field of medical imaging equipment control, and the method comprises the following steps: S1, creating and inputting a patient information base; s2, a doctor issues a medical image examination request at a client; s3, the HIS system receives the request and performs dynamic allocation according to the queuing condition of the current examination room; s4, requesting to be allocated to a specified examination room for queuing; s5, calling the patient to go to the equipment and regulating and controlling the equipment to a corresponding shooting state after the round arrives; and S6, displaying the shot image, and storing image data and patient data at the same time. According to the method, the patients can be dynamically distributed to the examination room with the least number of waiting people for queuing according to the medical image examination items issued by the doctor, and the detection equipment can automatically move to the corresponding shooting state in advance according to the detection items required by the patients, so that the doctor seeing time of the patients is saved, and the illness state is prevented from being delayed.