G06V30/19073

SYSTEM, METHOD, AND APPARATUS FOR MONITORING, REGULATING, OR CONTROLLING FLUID FLOW

An apparatus, system and method for regulating fluid flow are disclosed. The apparatus includes a flow rate sensor and a valve. The flow rate sensor uses images to estimate flow through a drip chamber and then controls the valve based on the estimated flow rate. The valve comprises a rigid housing disposed around the tube in which fluid flow is being controlled. Increasing the pressure in the housing controls the size of the lumen within the tube by deforming the tube, therefore controlling flow through the tube.

Automatic template recommendation
12340606 · 2025-06-24 · ·

Embodiments are disclosed for providing customizable, visually aesthetic color diverse template recommendations derived from a source image. A method may include receiving a source image and determining a source image background by separating a foreground of the source image from a background of the source image. The method separates a foreground from the background by identifying portions of the image that belong to the background and stripping out the rest of the image. The method includes identifying a text region of the source image using a machine learning model and identifying font type using the identified text region. The method includes generating an editable template image using the source image background, the text region, and the font type.

SYSTEMS AND METHODS FOR AUTOMATICALLY RECOGNIZING ORDER CONTENT ON PRINTED ORDER FORM USING AI TECHNOLOGIES
20250252766 · 2025-08-07 ·

The present disclosure relates to order recognition methods and systems using artificial intelligence (AI) technologies. In one example, a method includes obtaining, using an image sensor, an image of a first page of an ordering form. The ordering form includes one or more pages, each page including names of items and indicator fields. At least one indicator field of the first page is marked to indicate a corresponding item being ordered. The method further includes determining an order based on the image of the first page and one or more templates associated with the one or more pages of the ordering form. The order includes one or more items selected on the first page of the ordering form. Each template includes items and locations of indicator fields associated with a corresponding page of the ordering form. The method further includes transmitting the determined order to an order processing system.

METHODS AND APPARATUSES FOR MULTI-CAMERA TRACKING
20250292605 · 2025-09-18 ·

Certain aspects of the present disclosure may include methods, systems, and non-transitory computer readable media for receiving one or more first images via a first camera associated with a first zone, identifying first features relating to a first object based on the one or more first images, receiving one or more second images via a second camera associated with a second zone, identifying second features relating to a second object based on the one or more second images, comparing the first features and the second features to generate a probability score indicating whether the first object is the same as the second object, determining, based on the probability score being higher than a threshold value, that the first object is the same as the second object, identifying the first object and the second object as the target object, and tracking the target object.

Picture recognition method and apparatus, electronic device, and medium

The present disclosure discloses a picture recognition method performed by a computing device. The method includes: obtaining a recognized current string and a hash value of the current string during text recognition for an acquired image through an optical character recognition model, and storing the current string and the hash value of the current string into a first preset tree structure and a second preset tree structure; predicting a new probability value of the current string at a next moment, to obtain an extended string set; obtaining N strings with the highest probability value according to the hash value stored in the second preset tree structure and retaining the N strings; and using the N strings as the current strings, repeating the foregoing steps until recognition of all acquired images is completed, and obtaining a string with the highest probability value as a final recognition result.

Flow meter having a valve
12544501 · 2026-02-10 · ·

A flow control apparatus includes a body, a door, a drip chamber holster, and a valve. The door is pivotally coupled to the body. The drip chamber holster is coupled to one of the body or the door to retain a drip chamber. The valve is disposed within the body and is configured to receive a fluid line coupled to the drip chamber when the door is in an open position. The valve is operatively coupled to the door to secure the fluid line within the valve when the door is in a closed position.