Abstract: Methods and systems are disclosed herein to recommend load rebalancing based on learned patterns of recurrence. In some aspects, the method receives a requested load usage from a user system and a load usage dataset. Each entry in the load usage dataset corresponds to an instance of load use. The method determines similar instances based on a respective amount and respective category of each entry. The method then clusters the similar instances into a first cluster and a second cluster based on frequencies of the similar instances. The method combines load uses corresponding to the first cluster into a first recurring load use and load uses corresponding to the second cluster into a second recurring load use. The method compares the requested load usage to the second recurring load use to generate a recommendation to the user system for rebalancing load usage.

Abstract: In some implementations, a device may obtain video and/or lidar data relating to a physical card captured while the physical card is flipped from a first side of the physical card to a second side of the physical card. The device may determine an authenticity of the physical card, where the authenticity of the physical card is based at least in part on one or more physical characteristics of the physical card identifiable from the video and/or the lidar data. The one or more physical characteristics may relate to a thickness of the physical card, a length and width of the physical card, a shape of the physical card, and/or a design feature of the physical card. The device may cause, based on a determination that the physical card is authentic, information associated with the physical card to be transmitted or stored to be used in connection with a transaction.

Abstract: Disclosed embodiments can include a system for utilizing machine vision to verify dispatch of items. The disclosure provides a system having dispatch module comprising one or more processors and a memory storing instructions are configured to cause the dispatch module to perform a method. The method includes receiving a dispatch request for a first item. The method includes receiving, from a machine vision (MV) computing device, a first trigger of object recognition for the first item. The method includes initiating the first video comprising a process of packaging the first item. The method includes receiving a second trigger of label recognition associated with the first item. The method includes discontinuing the first video processing session. The method includes receiving a third trigger of label recognition associated with the first item. The method includes initiating a second video processing session to save a second video captured by the MV computing device.

Abstract: In some implementations, a device may obtain video and/or lidar data relating to a physical card captured while the physical card is flipped from a first side of the physical card to a second side of the physical card. The device may determine an authenticity of the physical card, where the authenticity of the physical card is based at least in part on one or more physical characteristics of the physical card identifiable from the video and/or the lidar data. The one or more physical characteristics may relate to a thickness of the physical card, a length and width of the physical card, a shape of the physical card, and/or a design feature of the physical card. The device may cause, based on a determination that the physical card is authentic, information associated with the physical card to be transmitted or stored to be used in connection with a transaction.

Abstract: Methods and systems disclosed herein may detect a malicious user by scanning the messaging platform with the members for any malicious content using sentiment detection. Sentiment detection may be performed using a machine learning model or another type of sentiment detection. For example, the machine learning model may detect a malicious comment and then determine whether the user is malicious using a variety of behavior patterns. For example, the machine learning model may use factors like reactions from the community, sentiment analysis, and the number of posts to determine whether the user is malicious. By doing so, the system is able to search constantly for users that may be malicious.

Abstract: The invention relates to generating cryptographic tokens based on characteristic determination. The system may generate and transmit a request for encrypted records from a blockchain node, receive the encrypted records from the blockchain node, decrypt the encrypted records into payload identifiers, retrieve sets of item identifiers based on the payload identifiers, determine characteristics associated with the sets of items, and generate a new cryptographic token that indicates the characteristics.

Abstract: The invention relates to generating cryptographic tokens based on received records. The system may receive a blockchain operation request comprising a plurality of records, encrypt a plurality of records into an encrypted payload, generate a cryptographic token based on the encrypted payload, and cause the cryptographic token to be committed to a blockchain.

Abstract: A multi-function clock is provided in which a clock face is configured to exhibit a first mode in association with a first clock function and a second mode in association with a second clock function. A first illumination feature is then configured to operate in association with at least the first mode and a second illumination feature is configured to operate in association with at least the second mode.

Abstract: An inspection station includes a conveyor, an imaging device, and a controller. The conveyor is configured to transfer a vehicle seat into the station. The imaging device is configured to capture three-dimensional data of the vehicle seat while in the station. The controller is programmed to, responsive to a deviation of the three-dimensional data from a baseline model of the seat being greater than a threshold, direct the vehicle seat to a repair station via the conveyor.

Abstract: The disclosure describes adaptive filtering techniques to improve the quality of captured image information, such as video or still images. An image sensor captures image information and determines a plurality of parameter values based on a current exposure index and a current scaling factor of the image information. The adaptive spatial image filter includes both horizontal and vertical sharpening filters and configures, i.e., adapts, the horizontal sharpening filter and the vertical sharpening filter based on the plurality of parameter values determined by the image sensor. The adaptive spatial image filter applies the horizontal and vertical sharpening filters to at one channel of the image information to generate filtered image information.

Abstract: A method for measuring the readability of a screen under sunshine is disclosed. In this method, a first set of basic data of a screen module to be tested under dark room conditions is measured. Next, a second set of basic data of the screen module under simulated sunshine conditions is measured. A first screen readability interval data and a second screen readability interval data are then obtained according to the first set of basic data and the second set of basic data. Finally, the first screen readability interval data and the second screen readability interval data are used to determine whether or not the screen module can be clearly read under sunshine. These readability interval data can be used as a basis for leave-factory quality inspection of screens.

Abstract: The disclosure describes adaptive filtering techniques to improve the quality of captured image information, such as video or still images. An image sensor captures image information and determines a plurality of parameter values based on a current exposure index and a current scaling factor of the image information. The adaptive spatial image filter includes both horizontal and vertical sharpening filters and configures, i.e., adapts, the horizontal sharpening filter and the vertical sharpening filter based on the plurality of parameter values determined by the image sensor. The adaptive spatial image filter applies the horizontal and vertical sharpening filters to at one channel of the image information to generate filtered image information.

Abstract: An extended fin array has a main heat-dissipation module and an extended heat-dissipation module. The main heat-dissipation module and the extended heat-dissipation module are stacked to increase the effective convective area to increase the heat-dissipation effect. The extended heat-dissipation module is in the main heat-dissipation module when the heat amount generated by an electronic device is normal. The extended heat-dissipation module extends out from the main heat-dissipation module to increase the heat convection area when the heat amount generated by the electronic device is large.

Abstract: An extended fin array has a main heat-dissipation module and an extended heat-dissipation module. The main heat-dissipation module and the extended heat-dissipation module are stacked to increase the effective convective area to increase the heat-dissipation effect. The extended heat-dissipation module is in the main heat-dissipation module when the heat amount generated by an electronic device is normal. The extended heat-dissipation module extends out from the main heat-dissipation module to increase the heat convection area when the heat amount generated by the electronic device is large.