A combined security access system for a building that includes a controllable building component. The system includes a combined security access device connected to the building component. The access device further includes: a processor; a first memory device connected to the processor; a second memory device connected to the processor; and a wireless interface module connected to the processor. The access device may be connected to an external electronic device, and the external electronic device communicates with the processor of the access control system to control the building component.

A portable electronic device to be used as a keyless device of a vehicle includes a controlling circuit which includes a physiological feature detection module and a processing circuit. The physiological feature detection module is used for detecting a physiological feature of a person. The processing circuit is coupled to the physiological feature detection module and used for determining whether the person is an authorized user of the vehicle according to the detected physiological feature of the person, and for opening a car door of the vehicle or starting the vehicle when the person is identified by the processing circuit as the authorized user.

The present disclosure relates to an intelligent prevention passage control system for an electronic device, which comprises a detection device for an electronic device, a traffic control device integrated with the detection device for the electronic device, an industrial control host, a server, an access controller and a management terminal inside the traffic control device, The present disclosure can more accurately judge violations by scoring violations, and can make the system more intelligent by accurately judging violations, thus realizing no manual attendance, solving the problems of personnel recruitment, shift attendance and personnel management, and saving a lot of labor cost. At the same time, the system can avoid the hidden dangers caused by human feelings. sense of responsibility and inertia brought b manual prevention, and ensure the consistent, accurate and reliable standards of detection work.

Systems and methods for machine learning assisted intent determination are disclosed. In some embodiments, a system comprises at least one processor and memory storing instructions executable by the at least one processor, the instructions when executed cause the system to obtain user information, the user information comprising a behavioral information of the user; obtain control access information for the user, the control access information indicating whether the user accessed a controlled area; train, using the obtained user information and control access information, an intent model of a machine learning system, the intent model configured to determine a user intent, the user intent indicting whether the user intends to access the controlled area; and use the trained intent model to determine the user intent based on the obtained user information.

Systems and methods for machine learning assisted intent determination are disclosed. In some embodiments, a system comprises at least one processor and memory storing instructions executable by the at least one processor, the instructions when executed cause the system to obtain user information, the user information comprising a behavioral information of the user; obtain control access information for the user, the control access information indicating whether the user accessed a controlled area; train, using the obtained user information and control access information, an intent model of a machine learning system, the intent model configured to determine a user intent, the user intent indicting whether the user intends to access the controlled area; and use the trained intent model to determine the user intent based on the obtained user information.

A prestaging, gesture-based, access control system includes a local access assembly, a mobile device, a storage medium, and a processor. The assembly includes a controller to effect actuation between access and no-access states. The mobile device is carried by a user, and includes a detection system configured to detect a prestaging event inherently performed by the user toward an intent to gain access and followed by the detection of a primary intentional gesture specifically performed by the user toward the intent to gain access. The storage medium and the processor are configured to receive prestaging event information and primary intentional gesture information from the detection system, and execute an application to determine the performance of the prestaging event from the prestaging event information, then determine the performance of the primary intentional gesture from the primary intentional gesture information if the prestaging event is determined to have occurred.

A prestaging, gesture-based, access control system includes a local access assembly, a mobile device, a storage medium, and a processor. The assembly includes a controller to effect actuation between access and no-access states. The mobile device is carried by a user, and includes a detection system configured to detect a prestaging event inherently performed by the user toward an intent to gain access and followed by the detection of a primary intentional gesture specifically performed by the user toward the intent to gain access. The storage medium and the processor are configured to receive prestaging event information and primary intentional gesture information from the detection system, and execute an application to determine the performance of the prestaging event from the prestaging event information, then determine the performance of the primary intentional gesture from the primary intentional gesture information if the prestaging event is determined to have occurred.

A presence detection system includes a support layer operable to act as an underlying surface for supporting object(s), a sensor layer disposed beneath the support layer and operable to output readings indicating the presence of object(s) supported on the support layer and a controller for receiving the presence readings from the sensor layer and determining, based on the readings, an indicator of the occupancy status and/or an occupancy level of the support layer. The presence detection system can be used within an access gate system whereby the access gate is operated to a blocking position upon the presence detection system detecting more than one human supported on the support layer, this operation overriding a reading of an authenticated user token. The presence detection system can also be used within an elevator system wherein the elevator door subsystem and the elevator displacement subsystem are controlled based on an occupancy level detected by the detection system. Methods for detecting object are also contemplated.

A presence detection system includes a support layer operable to act as an underlying surface for supporting object(s), a sensor layer disposed beneath the support layer and operable to output readings indicating the presence of object(s) supported on the support layer and a controller for receiving the presence readings from the sensor layer and determining, based on the readings, an indicator of the occupancy status and/or an occupancy level of the support layer. The presence detection system can be used within an access gate system whereby the access gate is operated to a blocking position upon the presence detection system detecting more than one human supported on the support layer, this operation overriding a reading of an authenticated user token. The presence detection system can also be used within an elevator system wherein the elevator door subsystem and the elevator displacement subsystem are controlled based on an occupancy level detected by the detection system. Methods for detecting object are also contemplated.

A device may obtain registration data associated with a registration of an individual. The registration data may include an image that depicts a physical key and a reference object. The device may process the image to identify a first feature of the physical key and a first measurement of the first feature based on the size of the reference object. The device may store first feature data based on the first feature and the first measurement. The device may obtain second feature data based on a second feature of the physical key and a second measurement of the second feature identified from an insertion of the physical key into a keyhole of an authentication mechanism. The device may determine whether the first feature data corresponds to the second feature data. The device may authenticate the individual based on determining that the first feature data corresponds to the second feature data.