An artificial intelligence (AI) robot includes a body for defining an exterior appearance and containing a medicine to be discharged according to a medication schedule, a support, an image capture unit for capturing an image within a traveling zone to create image information, and a controller for discharging the medicine to a user according to the medication schedule, reading image data of the user to determine whether the user has taken the medicine, and reading image data and biometric data of the user after the medicine-taking to determine whether there is abnormality in the user. The AI robot identifies a user and discharges a medicine matched with the user, so as to prevent errors. The AI robot detects a user's reaction after medicine-taking through a sensor, and performs deep learning, etc. to learn the user's reaction, to determine an emergency situation, etc. and cope with a result of the determination.

An artificial intelligence (AI) robot includes a body for defining an exterior appearance and containing a medicine to be discharged according to a medication schedule, a support, an image capture unit for capturing an image within a traveling zone to create image information, and a controller for discharging the medicine to a user according to the medication schedule, reading image data of the user to determine whether the user has taken the medicine, and reading image data and biometric data of the user after the medicine-taking to determine whether there is abnormality in the user. The AI robot identifies a user and discharges a medicine matched with the user, so as to prevent errors. The AI robot detects a user's reaction after medicine-taking through a sensor, and performs deep learning, etc. to learn the user's reaction, to determine an emergency situation, etc. and cope with a result of the determination.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for finding lost objects. In some implementations, a request for a location of an item is obtained. Current video data from one or more cameras is obtained. It is determined that the item is not shown in the current video data. Sensor data corresponding to historical video data is obtained. Events that likely occurred with the item and corresponding likelihoods for each of the events are determined. A likely location for the item is determined based on the likelihoods determined for the events. An indication of the likely location of the item is provided.

A surgical item managing method for use in a smart operating room to manage a surgical item used during a surgical procedure is provided. The surgical item includes a flexible RFID tag. The method includes the steps of: obtaining an information about a position of the flexible RFID tag; photographing a patient to obtain a position of the patient; determining if the position of the flexible RFID tag and the position of the patient overlap, to determine if the position of the flexible RFID tag is in the body of the patient; and giving a warning when the position of the flexible RFID tag is in the body of the patient.

A surgical item managing method for use in a smart operating room to manage a surgical item used during a surgical procedure is provided. The surgical item includes a flexible RFID tag. The method includes the steps of: obtaining an information about a position of the flexible RFID tag; photographing a patient to obtain a position of the patient; determining if the position of the flexible RFID tag and the position of the patient overlap, to determine if the position of the flexible RFID tag is in the body of the patient; and giving a warning when the position of the flexible RFID tag is in the body of the patient.

A system for generating an alert in case of a social distancing breach in a facility including a first device and second device, each including a processor and a memory. The memory stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations including receiving a first beacon signal from a second device and determining that a first condition associated with a payload of the first beacon signal is satisfied, determining that a second condition associated with a distance between the first device and the second device is satisfied. The operations further comprising generating an alert related to a social distancing warning in response to the first condition and the second condition being satisfied and in response to at least one of the first condition or second condition not being satisfied, not generating the alert.

The disclosure relates to systems and methods for compliance monitoring in a secure facility. A method can include generating, by a mobile radio frequency identification (RFID) device, data regarding a proximate stationary RFID device of stationary RFID devices situated about a correctional facility, the mobile RFID device associated with a user, and comparing, by a server, the generated data to compliance monitoring rules that govern actions to be performed by the personnel in monitoring offender behavior, each of the compliance monitoring rules including an associated timeframe in which an action of the compliance monitoring rule is to be performed, and generating, by the server, an alert to be provided to the mobile RFID device in response to determining a time associated with a compliance monitoring action has already expired or will expire in a specified amount of time.

The disclosure relates to systems and methods for compliance monitoring in a secure facility. A method can include generating, by a mobile radio frequency identification (RFID) device, data regarding a proximate stationary RFID device of stationary RFID devices situated about a correctional facility, the mobile RFID device associated with a user, and comparing, by a server, the generated data to compliance monitoring rules that govern actions to be performed by the personnel in monitoring offender behavior, each of the compliance monitoring rules including an associated timeframe in which an action of the compliance monitoring rule is to be performed, and generating, by the server, an alert to be provided to the mobile RFID device in response to determining a time associated with a compliance monitoring action has already expired or will expire in a specified amount of time.

A system uses a wearable electronic device to monitoring behavior of an operator of a vehicle. The wearable device is worn on the head of the operator of the vehicle and includes one or more motion sensors. A processor of the wearable device or of a proximate portable electronic device receives data from the one or more motion sensors and detects a pattern of motion based on the data. The system then may determine a physiological state or physical behavior of the driver based on the detected patterns or motion. Detected physiological states may include head bobs associated with sleepiness. Detected physical behaviors may include dangerous behaviors such as phone usage, prolonged gazes, sudden lane changes, or hard braking or steering.

A system uses a wearable electronic device to monitoring behavior of an operator of a vehicle. The wearable device is worn on the head of the operator of the vehicle and includes one or more motion sensors. A processor of the wearable device or of a proximate portable electronic device receives data from the one or more motion sensors and detects a pattern of motion based on the data. The system then may determine a physiological state or physical behavior of the driver based on the detected patterns or motion. Detected physiological states may include head bobs associated with sleepiness. Detected physical behaviors may include dangerous behaviors such as phone usage, prolonged gazes, sudden lane changes, or hard braking or steering.