Patent Applications by Snap Inc. on July 17th, 2025

Snap Inc.: 9 patent applications

Snap Inc. has applied for patents in the areas of G01C21/3614 (Input/output arrangements for on-board computers, 1), G06F11/0724 (Responding to the occurrence of a fault, e.g. fault tolerance, 1), G06F15/80 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models ), 1), G06F16/583 (using metadata automatically derived from the content, 1), G06F40/274 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models ), 1), G06Q20/321 (using wireless devices, 1), G06T11/00 (2D [Two Dimensional] image generation, 1), G09G3/3696 ({Generation of voltages supplied to electrode drivers}, 1), H04N5/2226 (Studio circuitry; Studio devices; Studio equipment (cameras or camera modules comprising electronic image sensors, or control thereof ), 1)

With keywords such as: system, present, disclosure, aspects, involve, computer-readable, comprising, storage, medium, storing in patent application abstracts.

Top Inventors:

Virginia Drummond of Venice CA US (1 patents)
Jean Luo of Seattle WA US (1 patents)
Alek Matthiessen of Marina Del Rey CA US (1 patents)
Celia Nicole Mourkogiannis of Los Angeles CA US (1 patents)
Ulf Oscar Michel Loenngren of Los Angeles CA US (1 patents)

Patent Applications by Snap Inc.

20250231037. AUGMENTED REALITY-BASED TRANSLATIONS ASSOCIATED TRAVEL (Snap .)

Abstract: aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for providing augmented reality content corresponding to a translation in association with travel. the program and method provide for receiving, by a messaging application running on a device of a user, a request to scan an image captured by a device camera; obtaining, in response to receiving the request, a travel parameter associated with the request, and an attribute of an object depicted in the image; determining, based on the travel parameter and the attribute, to perform a translation with respect to the object; performing, in response to the determining, the translation with respect to the object; and displaying an augmented reality content item, which includes the translation, with the image.

20250231825. RECOVERY MULTIPLE PROCESSOR SYSTEM (Snap .)

Abstract: a method performed on an augmented reality (ar) wearable device includes providing an over-the-air (ota) update to all processors of a three-processor system, each processor of the three processor system having a respective current plurality of partitions and a respective last plurality of partitions. a communication error is detected between two or more processors of the three processor system after the ota update. respective active partitions are set for at least one of three processors to the last respective partition. the three processors are rebooted.

20250231905. MESSAGE-BASED PROCESSOR TRANSMISSION DISABLING MODE (Snap .)

Abstract: a message-based processor has at least one processor cluster. the processor cluster includes a plurality of processor cluster elements. each processor cluster element has an operational mode indicator that indicates an operational mode of the processor cluster element, such as a transmission disabling operational mode and a transmission enabling operational mode. in some examples, the message-based processor sets a particular processor cluster element of the plurality of processor cluster elements to the transmission disabling operational mode and transmits, with a delay, a re-enable control message to the particular processor cluster element to reassume the transmission enabling operational mode.

20250231985. REAL-TIME IMAGE SCAN (Snap .)

Abstract: systems and methods herein describe a real-time scan system that identifies a visual marker in an image frame, identifies key points from the image frame, compares the image frame with a database of visual marker images using the identified key points, identifies a set of matched images in the database of visual marker images, filters the set of matched images using a neural network trained to analyze the image frame and set of matched images, detects the visual marker in an image of the filtered set of matched images, causes presentation of a notification on a display unit of the computing device, receives a selection of the notification, and in response to receiving the selection of the notification, causes presentation of multi-media content associated with the visual marker on the display unit of the computing device.

20250232115. CONTENT SUGGESTION SYSTEM (Snap .)

Abstract: embodiments of the present disclosure relate generally to systems for presenting content suggestions within a messaging interface. a content suggestion system performs operations that include: receiving inputs that include a text string into a messaging interface; parsing a keyword from the text string of the input in response to receiving the inputs; retrieving message content that includes at least a media item based on the keyword; and presenting a chat suggestion that includes the message content within the messaging interface, according to certain example embodiments.

20250232282. SECURED TRANSACTIONS WEARABLE DEVICES (Snap .)

Abstract: systems herein describe a secured transaction system for accessing a camera stream from a front-facing camera unit of a wearable computing device, identifying a visual marker in the camera feed associated with a payment application, in response to identifying the visual marker, transmitting a request to an operating system of the wearable computing device to isolate access of the camera stream to the payment application and in response to transmitting the request, initiating a transaction using the payment application.

20250232487. AUGMENTED REALITY EXPERIENCE LIGHTING ADJUSTMENT (Snap .)

Abstract: aspects of the present disclosure involve a system for an augmented reality (ar) try-on experience with lighting adjustment. the system accesses an image that depicts a real-world person. the system retrieves an ar fashion item. the system applies the image and the ar fashion item to a machine learning model to estimate a lighting adjustment for the ar fashion item based on lighting properties of the real-world person depicted in the image, the machine learning model trained to match lighting properties of images depicting real-world objects to lighting properties of ar objects and vice versa. the system combines the ar fashion item with the image that depicts the real-world person based on the estimated lighting adjustment to generate a modified image.

20250232741. PULSE WIDTH MODULATION PHASE-MODULATING DISPLAY (Snap .)

Abstract: a method is disclosed for controlling a liquid crystal pulse width modulated display. a repetition period includes a group periods, each including b modulation intervals, each modulation interval spanning h unit durations and, except for the final modulation interval of the repetition period, a remainder unit duration. a desired number n of unit duration pulses are distributed into h unit duration pulses for each modulation interval, with remainder desired pulses distributed among the remainder unit durations of the modulation intervals. a drive sequence is generated, including one or more repetitions of the repetition period.

20250233959. VARIED DEPTH DETERMINATION USING STEREO VISION PHASE DETECTION AUTO FOCUS (PDAF) (Snap .)

Abstract: disclosed are systems, methods, and non-transitory computer-readable media for varied depth determination using stereo vision and phase detection auto focus (pdaf). computer stereo vision (stereo vision) is used to extract three-dimensional information from digital images. to utilize stereo vison, two optical sensors are displaced horizontally from one another and used to capture images depicting two differing views of a real-world environment from two different vantage points. the relative depth of the objects captured in the images is determined using triangulation by comparing the relative positions of the objects in the two images. for example, the relative positions of matching objects (e.g., features) identified in the captured images are used along with the known orientation of the optical sensors (e.g., distance between the optical sensors, vantage points the optical sensors) to estimate the depth of the objects.