A building system comprises a camera system and an image processing device, which generates a real-time face template for facial features of the user from a camera capture of a user when the user is in a building zone. A control and processing device searches a storage device for a reference face template that matches the real-time face template to a specified degree, wherein the user is a registered user if there is a match. A bidirectional communication channel for private communication between the building system and a mobile phone of the user is determined from the user profile of the user.

An access control system includes: at least one gate device and a control unit. The control unit is configured to: control the at least one gate device to operate in a first operation mode, in which the gate device is arranged to allow access for the users via the gate device only from a first access direction, detect that a traffic flow of the users meets a predefined capacity limit, and control at least one gate device to change to operate in a second operation mode, in which the gate device is arranged to allow access for the users via the gate device from the first access direction and from the second access direction. The invention relates also to a method for controlling an access control system.

A vibration-based authentication method for an access control system includes: collecting vibration signals generated by a built-in vibration motor in an authentication device; filtering, denoising, and performing endpoint segmentation on the collected vibration signals, and extracting vibration signals containing effective touch; performing an alignment on the segmented vibration signals; performing a fast Fourier transform on the aligned vibration signals to obtain frequency-domain data, extracting frequency-domain features obtained after alignment and features obtained before alignment to construct a training data set, and storing the training data set in a database of the authentication device; using a new unlock signal generated when a user touches the authentication device as test data, and processing the test data to obtain test data containing effective touch; and matching and classifying the test data containing effective touch with the training data set by using a machine learning classification model, to obtain an authentication result.

A system providing self-service access to locked merchandise comprising: (a) providing a fixture that restricts access to the locked merchandise, wherein the fixture can automatically lock or unlock, allowing or restricting access to the locked merchandise; (b) providing a means of uniquely identifying an individual attempting to access the merchandise; (c) measuring a set of behaviors of the individual during any time the fixture is an open mode; (d) assessing whether the set of behaviors of the individual are suspicious or not relative to a set of suspicious event thresholds; (e) storing the individual and their set of behaviors as accessible records in at least one database; and (f) providing an algorithm which determines future access privileges of the individual to the enclosure based on a set of variables.

A system providing self-service access to locked merchandise comprising: (a) providing a fixture that restricts access to the locked merchandise, wherein the fixture can automatically lock or unlock, allowing or restricting access to the locked merchandise; (b) providing a means of uniquely identifying an individual attempting to access the merchandise; (c) measuring a set of behaviors of the individual during any time the fixture is an open mode; (d) assessing whether the set of behaviors of the individual are suspicious or not relative to a set of suspicious event thresholds; (e) storing the individual and their set of behaviors as accessible records in at least one database; and (f) providing an algorithm which determines future access privileges of the individual to the enclosure based on a set of variables.

Example aspects include a method, an apparatus and a computer-readable medium of operating an access control system, comprising detecting a person at an access control area. The aspects further include determining whether the person is wearing a mask. Additionally, the aspects further include switching, in response to determining that the person is wearing the mask, the access control system into a frictionless mode. Additionally, the aspects further include obtaining, according to the frictionless mode, identification information of the person via touchless interaction between the person and the access control system. Additionally, the aspects further include identifying the person according to the identification information of the person.

An electronic device includes a display, and at least one controller that, when an operation to cancel limitation of operations of the electronic device is detected, is configured to cancel the limitation of operations and presents a first screen on the display. The at least one controller is further configured to present a second screen which is different from the first screen on the display when the operation to cancel the limitation of operations is an operation with a thumb.

Biometric features are derived from security data associated with a subject. The security data is obtained from a security device. A biometric value is calculated from the biometric features. The biometric value is anonymized to an identifier associated with the subject. The identifier is integrated with event data associated with a security system. In an embodiment, the security device is a Personal Identification Number (PIN) pad integrated into a transaction terminal, the security data is fingerprint data, which is read from a finger of the subject placed on a fingerprint reader integrated into the PIN pad, and the biometric value is a PIN calculated from fingerprint data during a transaction at the transaction terminal. In an embodiment, the security device is a security camera, the security data is a secure video stream, and the biometric features are facial features of the subject in the secure video stream.

Biometric features are derived from security data associated with a subject. The security data is obtained from a security device. A biometric value is calculated from the biometric features. The biometric value is anonymized to an identifier associated with the subject. The identifier is integrated with event data associated with a security system. In an embodiment, the security device is a Personal Identification Number (PIN) pad integrated into a transaction terminal, the security data is fingerprint data, which is read from a finger of the subject placed on a fingerprint reader integrated into the PIN pad, and the biometric value is a PIN calculated from fingerprint data during a transaction at the transaction terminal. In an embodiment, the security device is a security camera, the security data is a secure video stream, and the biometric features are facial features of the subject in the secure video stream.

A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.