5 results about "Signature detection" patented technology

The disclosure includes a system and method for fake signature detection including identifying, using one or more processors, within a document image a signature portion, the signature portion representing a signature; applying, using the one or more processors, one or more fake signature detection models to the signature portion; determining, using the one or more processors and the one or more fake signature detection models, whether the signature represented in the signature portion is a fake signature; and presenting, using the one or more processors, the determination.

A method of authenticating a user device in providing access to a computer resource, the method includes identifying a device fingerprint record stored in an access log. The method includes produce, based on the device fingerprint record, a digital signature includes one or more session characteristics. The method includes determining, by a processing device from the digital signature, a root signature pattern associated with the one or more session characteristics. The method includes identifying an access request for a computer resource as an unauthorized access based on the device fingerprint record and the root signature pattern.

This utility model belongs to the field of tobacco production technology and discloses a stem stick detection device. The stem stick detection device includes a support, a collection mechanism, a collection mechanism, and a recycling mechanism. The support is disposed on a supporting surface; the collection mechanism is connected to the support and includes an interconnected collection channel and a collection chamber. The end of the collection channel away from the collection chamber is connected to a discharge port to allow the stem sticks to enter the collection chamber, which is made of a transparent material; the collection mechanism is connected to the support and located on one side of the collection chamber. The collection mechanism is used to photograph and collect information about the stem sticks inside the collection chamber and to detect the presence of foreign matter; the recycling mechanism includes a first driving component and a recycling box. The output end of the first driving component is connected to a sealing plate at the bottom of the collection chamber. The recycling box is located below the collection chamber. The first driving component can drive the sealing plate to tilt towards the recycling box so that the stem sticks can fall into the recycling box. This device can automatically complete the loading and unloading of stem sticks and realize automatic sampling and detection of stem sticks.

This application provides a threat detection and response method, apparatus, electronic device, and storage medium. The method includes: acquiring a real-time data stream; inputting the real-time data stream into a preset deep learning model to obtain a threat detection result for the real-time data stream; and, if the threat detection result indicates the existence of a threat and determines that the threat detection result meets a preset threat severity, executing a response strategy related to the real-time data stream. This application achieves the purpose of attack detection, achieving the technical effects of being signature-free, having high detection accuracy, being able to handle unknown threats, and having a fast response speed, thus solving the problems existing in related technologies.