A distributed identity system with local identification includes an identity system device and at least one local electronic device. The local electronic device locally stores at least a portion of identity information and the biometric identification information stored by the identity system device. The local electronic device determines identities by comparing received digital representations of biometrics with locally stored biometric identification information, performs actions using locally stored identity information included in the local copy, and uploads data related to the actions to the identity system device upon occurrence of an upload condition.

A job site security system contains a wireless communications node and a device such as a tool, a battery, a charger, etc., which contains a controller. Each tool has a locked state and an unlocked state as determined by the controller. Each tool is (initially) in the locked state. When the wireless communications node transmits a signal to the device the controller changes the locked state to the unlocked state allowing the device to be used. A method for securing a job site is also provided.

The server device includes an acquisition unit, a user database, an attendee management database, and a processing unit. The acquisition unit acquires biological information for each of a plurality of users using an entry/exit management system. The user database associates the biological information with user IDs respectively identifying the users and stores the same. The attendee management database associates the user ID corresponding to an attendee in a restricted area, into which entry and exit is restricted, with position information for the attendee, and stores the same. The processing unit transmits the position information of a meeting candidate, who a visitor wants to meet, to an authentication terminal. The authentication terminal is a terminal which, if an authentication using the biological information recorded in the user database is successful, permits a successfully authenticated user to enter the restricted area.

An interlock includes an entrance and an exit as well as an inner region arranged between the entrance and the exit. The interlock has a body scanner and a separation sensor, wherein the separation sensor is configured to measure the number of people in the inner region of the interlock, and the body scanner is configured to scan a body of a person in the inner region of the interlock.

An interlock includes an entrance and an exit as well as an inner region arranged between the entrance and the exit. The interlock has a body scanner and a separation sensor, wherein the separation sensor is configured to measure the number of people in the inner region of the interlock, and the body scanner is configured to scan a body of a person in the inner region of the interlock.

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.

An equipment rental system comprising a kiosk, the kiosk comprising a user interface configured to receive user input and provide outputs to a user, a processor configured to receive the user input from the user interface, generate user output and control a locker system; and a locker system configured to store the equipment and allow access to the equipment under control of the processor, the processor configured to: receive log in and credential information form a user via the user interface, present the user a choice of equipment, receive a selection of equipment through the user interface, gather payment information from the user through the user interface, wherein the payment information corresponds to a period of use for the selected equipment, and control the locker system to make the selected equipment available to the user.

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.

Disclosed are methods, systems, and apparatus for video-based door operation using object tracking of mobility assistance devices. A method includes detecting, in one or more images captured by a camera, a mobility assistance device; in response to detecting the mobility assistance device, determining, using the one or more images captured by the camera, a trajectory of the mobility assistance device; determining that the trajectory of the mobility assistance device satisfies a criterion for operating a door; and in response to determining that the trajectory of the mobility assistance device satisfies the criterion for operating the door, transmitting, to a door operator, a command to operate the door. A method includes determining whether the operation of the door satisfies performance criteria using one or more second images; and in response to determining that the operation of the door does not satisfy performance criteria, updating the criterion for operating the door.