327 results about "Occlusion detection" patented technology

A piston-type infusion pump is provided having an improved method of occlusion detection. The infusion pump includes processing circuitry for controlling the drive mechanism to infuse medication to a patient, including a sensor to track the position of the syringe plunger, thereby metering the amount of medication dispensed to the patient. The processing circuitry also includes a force sensor for providing signals indicative of the presence of occlusions along the infusion path. The operation of the drive mechanism causes delivery of medication to the patient. The infusion pump is constructed to be watertight.

A menu driven reprogrammable drug pump is provided with a memory, such as flash memory, a display, a keyboard, and a communications port to allow a generic pump to be programmed with a desired pump application (therapy) program and patient specific settings. Programming and data transfer with another pump or a computer to and from the patient pump is by the communications port that allows local and / or remote communications with the pump. Flash memory stores the pump application program during use. Patient safety is provided by a cassette identification system, an occlusion detection system, and a latch / lock detection system. Automated testing of the pump is by a closed loop testing system.

A menu driven reprogrammable drug pump is provided with a memory, such as flash memory, a display, a keyboard, and a communications port to allow a generic pump to be programmed with a desired pump application (therapy) program and patient specific settings. Programming and data transfer with another pump or a computer to and from the patient pump is by the communications port that allows local and / or remote communications with the pump. Flash memory stores the pump application program during use. Patient safety is provided by a cassette identification system, an occlusion detection system, and a latch / lock detection system. Automated testing of the pump is by a closed loop testing system.

In a method for checking a first ultrasonic sensor of a motor vehicle for an occlusion, a measuring signal of the first ultrasonic sensor is acquired by an evaluation unit, and from the measuring signal, a decay time of a natural oscillation of the diaphragm of the first ultrasonic sensor, brought about by an excitation pulse, is ascertained. From the measuring signal of either the first ultrasonic sensor or a second ultrasonic sensor, an echo produced by an object located in a sensing range of the first ultrasonic sensor is ascertained, and a distance value of the object is determined on the basis of the echo. An occlusion is signaled if the decay time is less than a predetermined threshold value which would be exceeded if ice and / or dirt were to adhere directly to the diaphragm, and if the distance value is less than a predetermined maximum value.

A menu driven reprogrammable drug pump is provided with a memory, such as flash memory, a display, a keyboard, and a communications port to allow a generic pump to be programmed with a desired pump application (therapy) program and patient specific settings. Programming and data transfer with another pump or a computer to and from the patient pump is by the communications port that allows local and / or remote communications with the pump. Flash memory stores the pump application program during use. Patient safety is provided by a cassette identification system, an occlusion detection system, and a latch / lock detection system. Automated testing of the pump is by a closed loop testing system.

Apparatus are provided for motor control systems and related medical devices. In one embodiment, a control system includes a motor having a rotor, a modulation module coupled to the motor, and a control module coupled to the modulation module. The modulation module generates a modulated voltage that is applied to the motor and rotates the rotor to deliver fluid via a fluid path. The control module adjusts a duty cycle of the modulated voltage to achieve a commanded rotation of the rotor and detects an occlusion condition in the fluid path based on the duty cycle.

Apparatus are provided for motor control systems and related medical devices. In one embodiment, a control system includes a motor having a rotor, a modulation module coupled to the motor, and a control module coupled to the modulation module. The modulation module generates a modulated voltage that is applied to the motor and rotates the rotor to deliver fluid via a fluid path. The control module adjusts a duty cycle of the modulated voltage to achieve a commanded rotation of the rotor and detects an occlusion condition in the fluid path based on the duty cycle.

An occlusion detection system and method include a decomposer configured to decompose an image into a set of hierarchical parts. A hierarchy of classifiers is employed to detect features in the image and the hierarchical parts. A logical operation is configured to logically combine a classification result from at least two of the classifiers to detect an occlusion state of the image.

The invention discloses a camera lens occlusion detecting system and method. The system comprises an image collection module, an image pre-processing module, a background establish module, a high-frequency component extraction module, a generalized image establish module, a suspected occlusion area detection module and an occlusion area determining module, wherein the background establish module is used for acquiring a smooth background image; the high-frequency component extraction module differentiates an initial image and the background image to acquire a high-frequency component distribution graph; the generalized image establish module combines an enhanced image and a pre-processed initial image to establish a generalized image, and performs edge extraction on the generalized image and the generalized image is convolved; the suspected occlusion area detection module compares a convolution result with a preset threshold, and determines that the suspected occlusion area is a candidate occlusion area if the convolution result is less than the preset threshold; and the occlusion area determining module traces the subsequent image pixel value of the suspected occlusion area, and determines that the suspected occlusion area is an occlusion area finally if brightness variations of all the pixels in the area are less than the preset threshold. By using the system and the method, whether the lens is occluded or not can be effectively judged.

Systems and methods for detecting an occlusion in a fluid delivery device are disclosed. The system includes a fluid delivery tube, an occlusion detection sensor configured to be coupled to the fluid delivery tube and further configured to detect occlusion within the fluid delivery tube. The fluid delivery tube includes an occlusion detection portion. The occlusion detection sensor is further configured to detect alteration of a shape of the occlusion detection portion when at least one condition occurs within the fluid delivery tube.

A method of monitoring pressure inside a fluid line and a system for implementing the method. The method is applicable to syringe pump systems. The method includes the steps of measuring a force value caused by a pressure inside the fluid line; collecting the measured force values during at least two consecutive moving time windows; calculating a slope of a best-fit line within each time window; calculating a slope difference of the slopes of the best-fit lines; comparing the slope difference with a pre-determined threshold gradient value; defining a baseline force as the detected force value when the slope difference is equal to the threshold gradient value; determining a relative force value by subtracting the baseline force from the detected force value; and, triggering an alarm if the relative force is greater than a pre-defined threshold force

The invention discloses a deep-learning-based multi-target pedestrian detection and tracking method. The method comprises the following steps: step one, carrying out multi-target pedestrian detectionand joint point extraction on an inputted video and storing obtained position information and joint point information as inputs of a next stage; step two, selecting a key frame at an interval with thecertain number of frames and carrying out apparent characteristic extraction in a pedestrian in the key frame; to be specific, according to the obtained position information and joint point information, extracting upper body part attitude characteristics and color histogram characteristics respectively for pedestrian association between key frames; and step three, carrying out continuous trackingon the pedestrians in the key frames with a threshold slow starting strategy, a block matching rate model detection algorithm, a historical state keeping voting algorithm and a shielding detection method for tracking effect improvement, returning to the step one after tracking ending, and detecting the key frames again to ensure stability of the method.

The invention discloses a deep convolutional neural network-based human face occlusion detection method. The method comprises the steps of performing block segmentation on an input image to obtain a target pre-selected region; constructing a first deep convolutional neural network, training the first deep convolutional neural network comprising a first deep convolutional network and a first multilayer perceptron connected with the first deep convolutional neural network to obtain required parameters, extracting features of the target pre-selected region, and performing classification; predicting the position of a human head through a second multilayer perceptron according to the extracted features; filtering the credibility of a classification type which is the human head and the predicted position of the human head through non-maximum suppression to remove an overlapped duplicate detection box; and obtaining a human head block in combination with original image segmentation, constructing a multi-task learning policy-based second deep convolutional neural network, and judging whether the left eye, the right eye, the nose and the mouth of the human head block are occluded or not. According to the method, the occluded human face can be accurately detected and the specific occluded part of the human face can be judged; and the method is mainly used for crime pre-warning of videos of a camera in front of an automatic teller machine.

A method and apparatus for receiving a depth frame from a depth sensor oriented towards an open end of a shipping container, the depth frame comprising a plurality of grid elements that each have a respective depth value, identifying one or more occlusions in the depth frame, correcting the one or more occlusions in the depth frame using one or more temporally proximate depth frames, and outputting the corrected depth frame for fullness estimation.

A occlusion detector for a dual-port surgical tourniquet system comprises: a tourniquet cuff for encircling a patient's limb and including an inflatable portion that communicates pneumatically with a first cuff port and that communicates pneumatically with a second cuff port independently of the first cuff port; a tourniquet instrument that is releasably connectable to the first and second cuff ports to establish first and second pneumatic passageways between the tourniquet cuff and the tourniquet instrument, wherein the tourniquet instrument includes pressure sensing means communicating with the first pneumatic passageway for producing an indication of the pressure in the cuff over a time period suitably long for the performance of a surgical procedure, pressure regulation means communicating with the second pneumatic passageway for regulating the pressure in the cuff near a reference pressure level, and an occlusion detector for introducing a pneumatic pressure pulse into the first pneumatic passageway during an occlusion detection time period, for monitoring the pressure in the second pneumatic passageway during the occlusion detection time period, and for producing an occlusion alarm if a fluctuation of pressure in the second pneumatic passageway is not detected within the occlusion detection time period.

The invention discloses a face-shielding detecting method based on multi-feature fusion, which is realized with the support of a digital camera and a digital signal processing chip. The method is characterized by comprising the following steps of: using the digital camera to acquire a digital video and converting the digital video into a digital image; obtaining a face image from the digital image by using a face detecting algorithm; aligning and zooming the face image and specifying the face image to a fixed resolution; then dividing the face image into a plurality of cells; and computing feature vectors of all cells; and circularly judging whether the face is shielded, wherein a shielding judgment rule is that the total number of the shielding cells is over a set threshold, or the number of the adjacent shielding cells is over a set threshold. A classifier is obtained by using a method of fusing a plurality of textural features and using an SVM method to train. The face-shielding detecting method based on multi-feature fusion has good classification performance and robustness, which can be widely applied to various monitoring occasions to judge whether a deliberate shielding behavior exists so as to screen out the suspicious personnel.

Systems and methods for efficiently reformatting video data in regions of video including occlusions are disclosed. In one embodiment, the method includes determining multiple motion vectors that link / relate matching blocks of two reference frames and calculating a measure related to overlap area of the matching blocks in one or both of the reference frames with a block to be constructed in an intermediate frame. The measure related to overlap area takes into account a particular interpolation phase of the frame being constructed in relation to the two reference frames. In one embodiment, a ranking of the measure related to overlap areas is used to classify the block to be constructed according to a degree of occlusion. In another aspect the location of the matching blocks in one or both of the reference frames is used in the classification of the block to be constructed.

The invention provides a target tracking algorithm based on the self-adaptive particle filter and sparse representation. According to the target tracking algorithm based on the self-adaptive particle filter and the sparse representation, the improved self-adaptive particle filter technique is adopted to serve as a tracking algorithm framework, a block sparse representation model is used for establishing an observation similarity model of a target, partitioning of the target is achieved by means of the self-adaptive partitioning technique, a structural sparse column diagram of a current target state is constructed to calculate the observation similarity of the current target state, blocking is detected by means of a blocking detection mechanism, a target / background dictionary template and a target template column diagram are updated to capture the change of the appearance of the target and the change of the environment during tracking, L1 optimization in the sparse representation is achieved by means of the variable-direction multiplicator method, and then the execution speed of the target tracking algorithm is increased. The target tracking algorithm based on the self-adaptive particle filter and the sparse representation has the advantage that the robustness to the conditions of the posture change of the tracking target, the change of the environment and lighting and blocking is strong.

The invention provides an adaptive scale video target tracking method. According to the method, firstly position and scale information of an initial frame target is given and a training sample is acquired by performing cyclic shifting; then the nuclearized ridge regression classifier is solved so as to acquire a filtering template, and a candidate sample is detected to estimate the position of the target; then a scale sample is detected based on the solved target position and the size of the previous frame of target, and the scale of the present frame of target is determined by the maximum response value; and finally the target and scale model parameters are updated online according to the occlusion detection mechanism. The method is adaptive to illumination and attitude change, background interference and other complex scenes, and the target can still be effectively tracked when the target is under severe occlusion and scale change so as to have great tracking accuracy and robustness.

A method and system for background maintenance of a vision system by fusing a plurality of detection methods and applying a 1D analysis to verify an absence of a static vehicle is provided. Methods for analyzing spatial temporal images in vehicle detection systems are provided. A method for processing a 1-dimensional profile is provided to detect a static vehicle in a traffic lane. When no vehicles are detected, a background image may be updated. A method for processing a 1-dimensional profile is also provided to detect occlusions of a traffic lane by a vehicle in a neighboring traffic lane. A method to reduce false alarm in wrong way driver detection applies the method for occlusion detection. A method to detect a slow moving vehicle in a traffic lane from a spatial-temporal image is also disclosed. A system applying the methods for processing 1-dimensional profiles is also provided.

The embodiment of the invention discloses a face shielding detection method and device, electronic equipment and a storage medium. The technical scheme provided by the embodiment of the invention comprises the steps of extracting a video stream of a camera, extracting a video image from the video stream, carrying out face detection based on the video image, determining a corresponding face image,carrying out face key point detection on the face image, determining corresponding face key point information, and carrying out region division on the face image according to the face key point information to obtain a plurality of corresponding face region images, further inputting the face region image into a pre-trained face shielding detection model to perform face shielding detection, and outputting a face shielding label corresponding to the face region image, wherein the face shielding label comprises corresponding shielding level and shielding object information. By adopting the technical means, the face shielding condition can be accurately detected in real time, so that the face shielding prompt can be conveniently carried out, and the use experience of a user is optimized.