A system for location of animals and/or objects in an environment includes a signal processing and signal generation system consisting of electromagnetic tags on animals (or other objects) in an environment (typically a three dimension outdoor natural environment) where the animals or objects are physically present at arbitrary locations, and an electro-magnetic signal generating, signal receiving, and signal processing system that can move through or in relation to the environment. The system can compute the location and identity of the animals or objects based on signals received from their associated tags, including the calculated location of the ID tags, which function as “Reader-Locators.” The calculated location is enhanced by information about the environment provided by maps, satellite photos, GPS, GIS and/or other data specific to the probability of the location of the animals or objects within certain regions of the environment. The system includes a physical and electromagnetic modeling operation that is interactive with the environmental information derived from the actual environment, either historically or in “real-time” as the monitoring process occurs.

A method for managing transmission of a location of a first geo-tag capable of communicating with a second geo-tag, the tags being classified in several respective categories, the first tag being associated with a first category. The method includes implementing following steps in the first tag: a. detecting a proximity between the first geo-tag and the second geo-tag; b. obtaining the category associated with the second tag; c. transmitting, to the second tag, a request to transfer management of the transmission of the location of the first tag, if the obtained category belongs to a second tag category.

Methods, systems, and devices for temperature-dependent charging of supercapacitor energy storage units of asset tracking devices are provided. An example method for temperature-dependent charging involves obtaining a temperature reading measured at an asset tracking device, the asset tracking device located at an asset to monitor travel of the asset, determining a target voltage for a supercapacitor energy storage unit of the asset tracking device based on the temperature reading to balance utilization of a capacity of the supercapacitor energy storage unit against temperature-dependent deterioration of the supercapacitor energy storage unit, and controlling a charging interface of the asset tracking device to charge the supercapacitor energy storage unit to the target voltage.

Various implementations disclosed herein include devices, systems, and methods that enable improved display of virtual content in computer generated reality (CGR) environments. In some implementations, the virtual content includes a reminder associated with a user and the user's physical environment.

Geolocated information is communicated to a user based upon a position of smart device in a building as determined by optical recognition of a first visual identifier, a second visual identifier and a third visual identifier. A distance determined from each of the visual identifiers, as well as a direction of interest indicated by a user. A user interface is generated for display on a Smart Device based upon the position of the Smart Device and direction of interest.

An ultra-wideband (UWB) anchor using a UWB ON/OFF operation method to minimize power consumption. The UWB anchor includes a power supply to supply power to the UWB anchor, a transceiver to transmit/receive a UWB signal to and from a UWB tag for performing ranging, and to transmit a reception failure when failing to receive the UWB signal from the UWB tag, and a controller to receive the reception failure from the transceiver and to end a ranging session when a cumulative sum of ranging failures for each ranging block reaches a maximum number of failed ranging round attempts.

Methods and Apparatus relating to environmental monitoring and control systems are discussed. More specifically, the present invention relates to methods and systems for monitoring temperature and other environmental conditions in a cold storage facility and tracking the locations and environmental conditions of a product throughout its cold storage life cycle using the environmental control system and smart devices in logical communication therewith. Tracked interactions with personnel in relationship to products in cold storage are also discussed.

Techniques are provided for reducing the delay in accumulating positioning measurements and improving positioning latency. An example method for reducing positioning measurement latency in a wireless network includes receiving assistance data including configuration information for a plurality of positioning reference signals, determining measurement gap requirements, requesting measurement gaps based on the measurement gap requirements, receiving measurement gap configuration information, determining a mobility state, and measuring or transmitting one or more positioning reference signals based at least in part on the measurement gap configuration information and the mobility state.

According to one embodiment, an electronic apparatus includes a processor configured to estimate positions of wireless devices communicating each other from a plurality of position candidates based on position candidate information indicating the position candidates of the wireless devices and communication information between the plurality of wireless devices located in any of the plurality of position candidates, and determine a first position among the position candidates according to a likelihood of the wireless devices estimated to be located in the position candidates.

A system and method for detection of an aerial drone in an environment includes a baseline of geo-mapped sensor data in a temporal and location indexed database formed by (i) using at least one sensor to receive signals from the environment and converting into digital signals for further processing; (ii) deriving time delays, object signatures, Doppler shifts, reflectivity, and/or optical characteristics from the received signals; (iii) geo-mapping the environment using GNSS and the sensor data; and (iv) logging sensor data over a time interval, for example 24 hours to 7 days. Live sensor data can be then be monitored and signature data can be derived by computing at least one parameter such as direction and signal strength. The live data is continuously or periodically compared to the baseline data to identify a variance, if any, which may be indicative of a detection event.