Ankon Technologies Co., Ltd

Anx IP Holding Pte. Ltd.

Ankon Medical Technologies (shanghai) Co., Ltd.

Tianyi Yangdai

Hao Liu

Fanhua Ming

Yi Bu Li

Xinhong Wang

Yanli Liu

Yuhui Bao

Hangyu Peng

Qinghua Zhou

Rong Wang

Hui Hu

The present invention provides an image processing method, an electronic device, and a readable storage medium. The method comprises: obtaining an original image, determining whether the current original image contains a cavity; if the current original image contains a cavity, increasing the frame rate based on the original frame rate; if the current original image does not contain a cavity, maintaining the original frame rate for image capturing. The present invention can automatically adjust the frame rate according to the actual images captured by a capsule endoscope, improving the capture of intestinal images, reducing the probability of missing shots, and achieving the goal of saving power, while enhancing the efficiency of capsule endoscope usage.

Image processing method, and electronic device and readable storage medium

A control method and a control system for a capsule endoscope are provided. The control method comprises acquiring a frame rate of the capsule endoscope. The frame rate is the number of frames of images captured by the capsule endoscope per unit time. The control method further comprises controlling the number of radio frequency transmission channels that are turned on according to the frame rate. The number of radio frequency transmission channels that are turned on is at least two, and the radio frequency transmission channels transmit the captured images. The control method and control system for the capsule endoscope can adaptively distribute a plurality of radio frequency transmission channels according to the real-time position of the capsule endoscope, and further turn on the radio frequency transmission channels to transmit a plurality of signals synchronously or asynchronously.

Control method and control system for capsule endoscope

A sampling capsule is provided. The sampling capsule includes an enclosure, a sampling assembly, a sample drawing assembly and a control module. The sampling assembly includes a sample chamber arranged in the enclosure, an outer sampling port on the enclosure, a sampling tube connecting the outer sampling port and the sample chamber, and a sampling switch for opening or closing the connecting tube. The sample drawing assembly includes a sample drawing port on the enclosure and connected to the sample chamber, and a silicone plug fitted in the sample discharging port. The control module includes a microprocessor communicating with the sampling switch.

Sampling capsule

The present invention provides a sampling capsule and a sampling capsule system. The sampling capsule includes an enclosure, a partition wall arranged in the enclosure, and a sample chamber enclosed by the partition wall and the enclosure at a first side of the partition wall. The sampling capsule further includes an inner sample inlet on the partition wall, an outer sample inlet, a sampling tube and a switch assembly. The outer sample inlet is on the enclosure at a second side of the partition wall. The sampling tube connects the outer sample inlet and the inner sample inlet, and the switch assembly clamps or unclamps a portion of the sampling tube. When sampling is needed, the switch assembly unclamps the sampling tube to sample liquid. When sampling ends, the switch assembly tightly clamps the sampling tube to prevent sample liquid leak or contamination.

Sampling capsule and sampling capsule system

A control method, a control system, an electronic device and a readable storage medium for a capsule endoscope are disclosed. The method comprises: obtaining the initial distance H between the capsule endoscope and an external magnetic field generating device based on magnetic field information when the capsule endoscope is positioned in the vertical direction of the magnetic field generating device in an initial state; presetting a target area according to the force balance of the in vivo capsule endoscope, and adjusting the distance between a second permanent magnet and the capsule endoscope to locate the capsule endoscope in the target area; monitoring the acceleration of the capsule endoscope, and determining the vertical component of acceleration of the capsule endoscope; and adjusting the current of the electromagnetic induction coil according to the vertical component of the acceleration to finely adjust the force balance of the capsule endoscope in the target area.

Control method, control system, electronic device and readable storage medium for capsule endoscope

A method for measuring objects in a digestive tract based on an imaging system is provided. The imaging system captures a detection image in the measurement stage. The depth distance zfrom a target point P' to a board is calculated, a correction factor is obtained according to the predicted brightness g(z) of a reference point P in the detection image. The depth image z(x, y) from the actual position of each pixel to the board is calibrated by the correction factor. The scale r of each pixel is calculated according to the depth image z(x, y). The actual two-dimensional coordinates S&#x2032; of each pixel are calculated by the scale r, and the actual three-dimensional coordinates (S&#x2032;, z(x, y)) of each pixel are obtained. The distance between any two pixels in the detection image or the area within any range are calculated.

Method for measuring objects in digestive tract based on imaging system

The present invention discloses a capsule endoscope system, an automatic frame rate adjustment method thereof and a computer readable storage medium. The automatic frame rate adjustment method includes: receiving a first acceleration information a(t) sensed by a first acceleration sensor in a capsule endoscope; receiving a second acceleration information a(t) sensed by a second acceleration sensor in an external device; calculating and comparing the first acceleration information a(t) and the second acceleration information a(t) to obtain the relative motion amplitude statem(t) between the capsule endoscope and the external device; adjusting the frame rate of the capsule endoscope according to the relative motion amplitude statem(t), where, the larger the relative motion amplitude statem(t), the larger the frame rate F(t).

Capsule endoscope system, automatic frame rate adjustment method thereof and computer readable storage medium

The present invention provides a gastrointestinal sampling capsule includes an enclosure, a sampling port on the enclosure and a sampling module connected to the enclosure. The sampling port includes a plurality of sampling holes, and the sampling module includes a sample chamber and a sampling trigger unit which controls a connection or disconnection between the sampling port and the sample chamber to turn on sampling or turn off sampling. The gastrointestinal sampling capsule further includes a connecting passage arranged between the sample chamber and the sampling port, wherein an inlet of the connecting passage corresponds to the sampling port and an outlet of the connecting passage is connected to the sample chamber. A gap is provided between the plurality of sampling holes and the inlet of the connecting passage, through which the plurality of sampling holes are connected to the connecting passage.

Gastrointestinal sampling capsule

A method for measuring objects in digestive tract based on an imaging system is provided. The imaging system enters a calibration stage, and obtains a calibration image. A measurement stage enters, and the imaging system places in the digestive tract to capture at least one detection image. The depth distance zfrom each pixel in the detection image to the imaging system is calculated, and it records as a depth image z(x, y). The scale r of each pixel in the detection image is calculated according to the depth image z(x, y). The actual two-dimensional coordinates S' of each pixel point in the detection image are calculated by the scale r, and the actual three-dimensional coordinates (S&#x2032;, z(x, y)) of each pixel are obtained. The distance between any two pixels in the detection image or the area within any range is calculated.

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Wuhan, China

Tianyi Yangdai