A method for tagging and tracking animals utilizes a plurality of user accounts and a plurality of species profiles. A user account of the plurality of user accounts is utilized to enter tag information from a tag of a plurality of tracking tags. More specifically, the tag is attached to a specific animal. When the tag information is entered, a relevant profile from the plurality of species profiles is selected. The relevant profile has information related to the specific animal. Next, the user completes a plurality of fields related to the specific animal which is saved into the relevant profile. Simultaneously, a list of geographical information is completed and saved into the relevant profile. As a result, the relevant profile is saved with the latest information of the specific animal. When required, a premium account of the plurality of user accounts is used to view the relevant profile.

Apparatuses, methods and systems for a swim apparatus are disclosed. One embodiment of the swim apparatus includes one or more sensors sensing motion of a swimmer, a direction indicator for indicating a direction to the swimmer, and a controller. The controller is operative to receive sense signals from the one or more sensors, and identify a desired bearing of the swimmer comprising identifying one or more natural gesture motions of the swimmer from the received sense signals that indicate the desired bearing of the swimmer. Further, the controller is operative to identify an actual heading of the swimmer based on the received sense signals, calculate a heading offset based on the desired bearing of the swimmer and the actual heading of the swimmer, and provide the heading offset to the direction indicator.

A method for training an alarm system to classify audio of an event, wherein the alarm system is connected to a neural network trained to classify audio as an event type, the method comprising the steps of: receiving audio recorded during a first period of time; transmitting the audio to an external unit; receiving data from the external unit indicating a sub-period of time of the audio and data indicating an event type of the indicated sub-period of time of the audio; and re-training the neural network by inputting a sub-period of the audio corresponding to the indicated sub-period of time of the audio and using the indicated event type as a correct classification of the sub-period of the audio.

A method for training an alarm system to classify audio of an event, wherein the alarm system is connected to a neural network trained to classify audio as an event type, the method comprising the steps of: receiving audio recorded during a first period of time; transmitting the audio to an external unit; receiving data from the external unit indicating a sub-period of time of the audio and data indicating an event type of the indicated sub-period of time of the audio; and re-training the neural network by inputting a sub-period of the audio corresponding to the indicated sub-period of time of the audio and using the indicated event type as a correct classification of the sub-period of the audio.

The device for monitoring a situation within a volume includes at least one electronic unit containing a plurality of different types of sensors, at least one program for controlling the sensors according to a predefined profile and a program for processing data recorded by the sensors, a device for signaling the detection of data representative of an event within the volume, a remote management unit and device for exchanging data between the electronic unit and the remote management unit defined by a radio transmitter/receiver that includes the electronic unit and the remote management unit. The electronic unit includes a device for manual activation of the radio emitter, defined by a button arranged on a housing for an infrared presence sensor equipped with its lens forming a protuberance on the outer face of the unit. The invention also concerns a method for monitoring a situation within the volume by the device.

The device for monitoring a situation within a volume includes at least one electronic unit containing a plurality of different types of sensors, at least one program for controlling the sensors according to a predefined profile and a program for processing data recorded by the sensors, a device for signaling the detection of data representative of an event within the volume, a remote management unit and device for exchanging data between the electronic unit and the remote management unit defined by a radio transmitter/receiver that includes the electronic unit and the remote management unit. The electronic unit includes a device for manual activation of the radio emitter, defined by a button arranged on a housing for an infrared presence sensor equipped with its lens forming a protuberance on the outer face of the unit. The invention also concerns a method for monitoring a situation within the volume by the device.

Testing a computer software application by detecting an arrival of input data provided as input to a computer software application from a source external to the computer software application, modifying the detected input data to include test data configured to test the computer software application in accordance with a predefined test, thereby creating a modified version of the detected input data, and processing the modified version of the detected input data, thereby performing the predefined test on the computer software application using the test data.

Disclosed herein are different embodiments of a hand hygiene compliance system, beacon, wearable monitor and kit.

An alert system is configured to track conditions for a tracking system. The one or more processors of the alert system are configured to receive data in a payload related to characteristics of tracking devices of the tracking system. The one or more processors are then configured to determine a condition timeframe for each condition for a given alert based on the data in the payload. The given alert requires at least a first condition and a second condition of the plurality of conditions. The one or more processors are configured to perform a query for historical data for the first condition based on a timestamp of the second condition that is prior to the first condition, determine an alert timeframe for the given, alert based on the condition timeframes and the historical data, and store the given alert and the alert timeframe in a memory of the alert system.

An alert system is configured to track conditions for a tracking system. The one or more processors of the alert system are configured to receive data in a payload related to characteristics of tracking devices of the tracking system. The one or more processors are then configured to determine a condition timeframe for each condition for a given alert based on the data in the payload. The given alert requires at least a first condition and a second condition of the plurality of conditions. The one or more processors are configured to perform a query for historical data for the first condition based on a timestamp of the second condition that is prior to the first condition, determine an alert timeframe for the given, alert based on the condition timeframes and the historical data, and store the given alert and the alert timeframe in a memory of the alert system.