Abstract: In one aspect, a system of a live-stock carbon footprint assessment in an internet of things network tracking comprising: a plurality of asset trackers, wherein each asset tracker tracks one or more IoT assets and obtains a set of IoT data; one or more communications hubs; a base station; one or more communication networks; wherein each asset tracker is configured to be in communication with a base station and one or more of the communications hubs; a server computing device configured to be in communication with the one or more networks, wherein the server computing device is further configured to implement the following logic: periodically received sensor data from an attached live-stock carbon footprint tracker that is attached to a live-stock entity; and use the sensor data to calculate a livestock carbon footprint.

Abstract: A computerized method of an integrated microphone to monitor environmental conditions of battery-operated asset tracker comprising: integrating one or more microphones into each asset tracker of a cluster of asset trackers; using the one or more microphones to monitor an environmental condition of a battery-operated asset tracker; correlate a set of sound data received form the one or more microphones with another set of data from other sensors of each asset tracker of the cluster of asset trackers; using an IMU (Inertial Management Unit) to determine an orientation in space of each asset tracker; with the data of the one or more microphones and the orientation in space of each asset tracker, determining a direction of a sound in a proximity of the cluster of asset trackers; and providing a pre-learned machine learning sound identification model to identify a sound source of the sound.

Abstract: In one aspect, a method for detecting lithium polymer battery swell due to exposure to heat or battery aging comprising: integrating an integrated force sensor with a lithium polymer battery; monitoring a lithium polymer battery swell of the lithium polymer battery with the integrated force sensor; with the integrated force sensor, detecting the lithium polymer battery swell beyond a specific swelling threshold; and determining that the lithium polymer battery swell due to exposure to heat or battery aging.

Abstract: According to some embodiments of the present disclosure, an intelligent tracking system is disclosed. The intelligent tracking system includes one or more passive tracking devices, an exciter, and a tracker. Each passive tracking device includes one or more transceivers and is energized by an electromagnetic frequency. In response to being energized each passive tracking device transmits a short message. The exciter emits the electromagnetic frequency. The tracker receives short messages from the one or more passive tracking devices and confirms the presence of the one or more passive tracking devices in a vicinity of the tracker based on the received messages.

Abstract: Systems and methods are described for managing communications amongst mobile computing units. The invention includes location detection, three-dimensional proximity detection and alert systems for and amongst mobile units, through the utilization of low-power local communications protocols. The systems and methods minimize power consumption by the mobile units, and enable for robust, reconfigurable real-time location and asset tracking.

Abstract: An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

Abstract: According to some embodiments of the present disclosure, an intelligent tracking system is disclosed. The intelligent tracking system includes one or more passive tracking devices, an exciter, and a tracker. Each passive tracking device includes one or more transceivers and is energized by an electromagnetic frequency. In response to being energized each passive tracking device transmits a short message. The exciter emits the electromagnetic frequency. The tracker receives short messages from the one or more passive tracking devices and confirms the presence of the one or more passive tracking devices in a vicinity of the tracker based on the received messages.

Abstract: An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

Abstract: According to some embodiments of the present disclosure, an intelligent tracking system is disclosed. The intelligent tracking system includes one or more passive tracking devices, an exciter, and a tracker. Each passive tracking device includes one or more transceivers and is energized by an electromagnetic frequency. In response to being energized each passive tracking device transmits a short message. The exciter emits the electromagnetic frequency. The tracker receives short messages from the one or more passive tracking devices and confirms the presence of the one or more passive tracking devices in a vicinity of the tracker based on the received messages.

Abstract: Determining a relative location of an object in an environment of a head-mountable device by performing a Wi-Fi round trip time (RTT) process to determine a location of the head-mountable device based on respective round-trip times for a plurality of access points or peer devices, using data generated by an inertial measurement unit as a basis for determining a pose of the head-mountable device, determining a location of a first object in an environment of the head-mountable device, and based at least in part on the location and pose of the head mountable device and the location of the first object, determining a relative location of the first object.

Abstract: An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

Abstract: According to some embodiments of the present disclosure, an intelligent tracking system is disclosed. The intelligent tracking system includes one or more passive tracking devices, an exciter, and a tracker. Each passive tracking device includes one or more transceivers and is energized by an electromagnetic frequency. In response to being energized each passive tracking device transmits a short message. The exciter emits the electromagnetic frequency. The tracker receives short messages from the one or more passive tracking devices and confirms the presence of the one or more passive tracking devices in a vicinity of the tracker based on the received messages.

Abstract: According to some embodiments of the present disclosure, an intelligent tracking system is disclosed. The intelligent tracking system includes one or more passive tracking devices, an exciter, and a tracker. Each passive tracking device includes one or more transceivers and is energized by an electromagnetic frequency. In response to being energized each passive tracking device transmits a short message. The exciter emits the electromagnetic frequency. The tracker receives short messages from the one or more passive tracking devices and confirms the presence of the one or more passive tracking devices in a vicinity of the tracker based on the received messages.

Abstract: A system for monitoring a beehive includes a sensor bar. The sensor bar has a physical size and shape to function as a frame bar of a honeybee frame that slides into a chamber of a beehive. The sensor bar includes an enclosure having a plurality of holes, a microphone disposed within the enclosure to record sound emanating through the holes from the beehive, and at least one interior environmental sensor disposed within the enclosure to measure an interior environmental characteristic of the beehive.

Abstract: In certain embodiments, chemical sensing may be facilitated. In some embodiments, a fluid sample may be received at a sensing device having one or more chemical sensitivities. A reaction of the sensing device to a chemical in the fluid sample may be detected based on the one or more chemical sensitivities of the sensing device. For example, a sensing unit within the sensing device having a particular chemical sensitivity may react with a chemical in the fluid sample. In some embodiments, the reaction may be a change in resistivity or piezoresistivity. One or more chemicals in the fluid sample associated with the reaction of the sensing device may be identified. In some embodiments, machine learning models or neural networks may facilitate the identification of chemicals associated with the reaction.

Abstract: An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

Abstract: An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

Abstract: An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

Abstract: An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.