Abstract: Apparatus, methods, and non-transitory computer readable media are described for detecting an operational safety condition within a container using a scanning sensor node deployed within the container and above a storage space within the container. For example, the method uses the scanning sensor node to sense if the container is in a closed state and monitors the storage space from above the storage space while the container is in the closed state. The method then has the scanning sensor node detecting a movement within the container based upon the monitoring of the storage space while in the closed state. Such a detected movement is indicative of the operational safety condition. The method then has the scanning sensor node transmitting an alert to a managing node over a wireless communication interface of the scanning sensor node, where the alert is associated with the operational safety condition within the container.

Abstract: The present invention provides a novel system and device for wearables for humans and animals that capture and store kinematic and kinetic data and movement during training, rehabilitation, real-time events, and the like, analyze such data and movement in real-time during and after such activities, and provide output, feedback, assessment, and actionable biomechanical data and information about the wearer.

Abstract: Paired drone-based systems and methods are described that inspect a delivery vehicle. For example, a system may include a docking station within the vehicle and a sensor-enabled inspection drone paired to the vehicle and that aerially inspects targeted inspection points corresponding to respective parts of the delivery vehicle.

Abstract: Enhanced systems and methods for collision avoidance of a high value asset with reflective beacons around it using multi-sensor data fusion on a mobile industrial vehicle. The system has a sensing processing system with a LiDAR and camera sensors, and a multi-processor module responsive to the different sensors. The sensing processing system fuses the different sensor data to locate the reflective beacons. A model predictive controller on the vehicle determines possible control solutions where each defines a threshold allowable speed for the vehicle at discrete moments based upon an estimated path to a breaching point projected from the reflective beacons, and then identifies an optimal one of the control solutions based upon a performance cost function and associated with an optimal threshold allowable speed. The system has a vehicle actuator configured to respond and alter vehicle movement to avoid a collision when the vehicle exceeds the optimal threshold allowable speed.

Abstract: Methods, apparatus, and systems are described for dynamically transforming scan data representing a container's loaded volume using a scanning sensor node mounted above storage space within the container. The scanning sensor node generally includes a memory, a depth sensor oriented above and towards the storage space, an identification scanner, and a communications interface to an external managing node. The identification scanner identifies an item being loaded into the storage space and the depth sensor responsively scans the storage space to generate the scan data. The scanning sensor node determines if the item is at least partially not visible to the depth sensor based upon the generated scan data and dynamically transforms the scan data into refined scan data based on this determination and upon material dimension data associated with the item.

Abstract: Paired drone-based systems and methods are described that inspect a delivery vehicle. For example, a system may include a docking station within the vehicle and a sensor-enabled inspection drone paired to the vehicle and that aerially inspects targeted inspection points corresponding to respective parts of the delivery vehicle.

Abstract: An inspection drone exclusively paired to a delivery vehicle identifies targeted inspection points corresponding to respective parts of the vehicle. A sensor on the drone detects inspection information relative to targeted inspection points once the drone has aerially moved proximate to each targeted inspection point. The drone automatically identifies a potential adverse inspection condition for a targeted inspection point based upon the inspection information. The drone responsively transmits an interactive intervention request to a display-enabled transceiver, where the request identifies the potential adverse inspection condition, indicates a need for a verified inspection of that targeted inspection point, and requests feedback regarding that targeted inspection point.

Abstract: Drone-based systems and methods for conducting a modified inspection of a delivery vehicle are described. A system has a delivery vehicle transceiver and an inspection drone paired to the vehicle that aerially inspects the vehicle. The delivery vehicle transceiver has a user interface and a wireless radio, while the paired inspection drone has a housing, onboard controller, memory storage, lifting engines, and a communication interface. The drone's onboard controller is operative to identify different existing delivery vehicle inspection points from an inspection profile record; receive an inspection update message from the communication interface; update the existing delivery vehicle inspection points with additional inspection points to yield a targeted inspection points corresponding to respective parts of the delivery vehicle; and conduct the modified inspection of the delivery vehicle by gathering the detected sensor-based inspection information related to each of the targeted inspection points.

Abstract: Improved systems, apparatus, and methods for enhanced positioning of an airborne relocatable communication hub supporting wireless devices are described. Such a method begins with moving an aerial communication drone operating as the airborne relocatable communication hub to a first deployed airborne position, detecting a first signal broadcast by a first wireless device using a communication hub interface on the drone, and detecting a second signal broadcast by a second wireless device using the communication hub interface. The method has the drone comparing a first connection signal strength for the first signal and a second connection signal strength for the second signal, and repositioning the aerial communication drone to a second deployed airborne position based upon the comparison. Once repositioned at the second deployed airborne position, the method has the drone linking the first and second wireless devices using the communication hub interface on the aerial communication drone.

Abstract: Drone-based systems and methods are described for providing an airborne relocatable communication hub within a delivery vehicle for broadcast-enabled devices maintained within the delivery vehicle. Such a method has an aerial communication drone paired with the delivery vehicle transitioning to an active power state, uncoupling from a secured position on an internal docking station fixed within the delivery vehicle and then moving to a first deployed airborne position within the delivery vehicle. At a first position, the method has the aerial communication drone establishing a first wireless data communication path to a first broadcast-enabled device within the delivery vehicle, then establishing a second wireless data communication path to a second broadcast-enabled device within the delivery vehicle. The drone then couples the first and second wireless data communication paths it established operating as the airborne relocatable communication hub for the devices.

Abstract: A drone-based monitored storage system includes a shipment storage with an interior storage area and a drone storage area, an internal docking station, and an internal monitor drone disposed within the shipment storage that aerially monitors the items being shipped within the interior storage area. The monitor drone includes an airframe, battery, onboard controller, lifting engines and lifting rotors responsive to flight control input, communication interface, sensor array that gathers sensory information as the drone moves within the interior shipment storage area of the shipment storage, and a drone capture interface that can selectively mate to the internal docking station to hold the monitor drone in a secure position. The monitor drone can gather the sensory information (such as environment information, image information, multidimensional mapping information, and scanned symbol information) and autonomously detect conditions of items being shipped based upon the sensory information from the sensor array.