A monitoring system and related methods are disclosed. The system has a first apparatus associated with a living target, a second apparatus associated with a protected individual, and a third apparatus associated with a community individual. The first apparatus has a lock for fixing the first apparatus to the living target, a tamper-evidencing mechanism, mechanisms for monitoring a GPS location of the first apparatus, determining the first apparatus is within at least one of a first threshold distance from the second apparatus or a first threshold distance from a pre-set GPS location, warning the living target responsive to the determining the first apparatus is within the at least one of the first threshold distance from the second apparatus or the first threshold distance from the pre-set GPS location, determining the first apparatus is in a banned location, and emitting a debilitating sound.

In accordance with embodiments disclosed herein, there are provided methods and systems for real-time beef cattle monitoring utilizing Radio-Frequency Identification (RFID) based technologies. For example, there is disclosed a system having at least a memory to store instructions; a processor to execute the instructions; a database to store data for heads of livestock, wherein each head of livestock is individually identified via a Radio-Frequency Identification (RFID) tag, the RFID tag uniquely identifying each of the heads of livestock to the system; a plurality of antennas to read information transmitted from the RFID tags; a transactional and analytical server to receive the information transmitted from the RFID tags and to store the information in the database; wherein the transactional and analytical server to further analyze the information stored in the database to identify when each head of livestock is present within a defined feeding zone; and monitoring the heads of livestock for anomalous feeding behavior based on the analysis. Other related embodiments are disclosed.

According to some embodiments of the present disclosure, a method for recommending pet food for a pet is disclosed. The method includes receiving pet information corresponding to the pet from a client user device of a user associated with the pet and generating a set of attributes relating to the pet based on the pet information. The method further includes determining a temperature classification corresponding to the pet based on the set of attributes and determining a recipe score corresponding to the pet based upon the temperature classification and the set of attributes. The method further includes determining a pet food recommendation from a pet product database based on the temperature classification, and providing a diet recommendation indicating the pet food recommendation the user via a communication network.

A system for maintaining inter-object separation between different objects such as animals, machinery, or people, that uses distance signaling to provide and maintain separation via correction activities that may also be used to keep the first two objects at a prescribed distance from a third object.

A system for notifying occupants of a structure that a pet is proximate to an opening of a structure. The system may include a pet unit wearable on the pet's body and including a transmitter configured to transmit a wireless proximity signal from the pet unit. The system may further include an exit unit positionable at an exit of the structure. The exit unit may include a receiver configured to receive a said wireless proximity signal transmitted by a pet unit, with the receiver being configured to produce an alert signal when a said wireless proximity signal is received. The exit unit my also include an alerting assembly configured to provide a presence alert when the receiver receives a said wireless proximity signal. T alerting assembly may comprise a perceptible alerting mechanism configured to produce a perceptible presence alert which is perceptible to a sense of a human.

Anchor base stations are arranged around an area in which positions for radio transmitter tags are to be determined. The anchor base stations have known locations, and the location of an intermediate base station added to the system is determined by: arranging the intermediate base station between first and second anchor base stations; determining, based on propagation-delay measurements of a signal emitted by the intermediate base station and using the global time reference a first calculated distance between the first anchor base station and the intermediate base station, and a second calculated distance between the second anchor base station and the intermediate base station (BSI5); obtaining an elevation indicator specifying whether the intermediate base station is located in level with, above or below the common plane; and determining the location of the intermediate base station based on the first and second calculated distances and the elevation indicator.

Aquatic organism tracking devices, systems and associated methods are described. According to one aspect, an aquatic organism tracking device includes a housing, a transducer coupled with the housing and configured to transmit a data transmission externally of the housing and an aquatic organism associated with the tracking device, a programmable oscillator coupled with the housing, and wherein the programmable oscillator is configured to generate a clock signal having a selected one of a plurality of different frequencies, processing circuitry coupled with the housing and configured to receive the clock signal from the programmable oscillator and to execute a plurality of executable instructions according to the clock signal, a power source coupled with the housing and configured to store electrical energy, and wherein the processing circuitry is configured to control the provision of the electrical energy from the power source to the transducer to generate the data transmission as a result of the execution of the instructions.

Computer-implemented methods, systems and computer program products leveraging cognitive learning, and machine learning algorithms to predictively identify and monitor animals within a monitoring zone in real-time and identify an occurrence of unwanted or unsafe behaviors being performed by the animals. Surveillance systems and sensors within a monitoring zone or affixed to the animals provide audio/visual data and sensor data describing activity and animals within the monitoring zone. Machine learning models are trained using audio-visual, sensor and historical data to learn to predict the identities of registered animals based on the sight or sound of the animals. Behaviors of animals that are unsafe and should be corrected can be remediated, minimized or altered using IoT devices positioned within the monitoring zone perform pre-determined actions initiated automatically in response to identification of unsafe behaviors or upon verification by users of the occurrence of the unsafe events or conditions within the monitoring zone.

A pet tracking device, system and method using a kinetic motion energy generator to generate electrical energy that is used to power a pet tracking mechanism are provided. The pet tracking device may include a housing on a wearable item, such as a collar, attached to the pet or may be injected underneath the skin of the pet.

A system, method, or apparatus for tracking and monitoring pet activity. The apparatus can be a wearable device for a pet comprising a band comprising a strap plate, a removable battery component, and a tracking component, wherein the removable battery component can be configured to be removably attached to the tracking component, wherein the wearable device can be removably attached to the pet via the band, and wherein the tracking component can be removably attached to the strap plate.