Abstract: Systems, apparatus, and methods for collecting, analyzing, and/or communicating information related to movable/moving objects are described. In some embodiments, a mobile computing device is configured to be carried by, attached to, and/or embedded within a moveable object. The device may include at least one communication interface, at least one output device, a satellite navigation system receiver, an accelerometer, at least one memory, and at least one processor for detecting the location, orientation, and/or motion of the moveable object. The information is compared to that of at least one other object and a likelihood of collision is predicted. If the predicted likelihood of collision is above a predetermined threshold, the mobile computing device outputs at least one of an audio indication, visual indication, and haptic indication to an operator of the moveable object.

Abstract: Failover system for video surveillance. A video coverage area for each camera in the system is calculated by combining sensory information and optical specifications of each corresponding camera. The video coverage area information is embedded in a corresponding file of each camera and is used to autonomously re-orient operating cameras to cover a failed coverage area due to a non-operating camera.

Abstract: Failover system for video surveillance. A video coverage area for each camera in the system is calculated by combining sensory information and optical specifications of each corresponding camera. The video coverage area information is embedded in a corresponding file of each camera and is used to autonomously re-orient operating cameras to cover a failed coverage area due to a non-operating camera.

Abstract: The invention provides a method, system, and program product for collecting and correlating retail metrics. In one embodiment, the invention includes providing a spatial representation of a retail space containing a plurality of products, automatically collecting data representing movement of at least one customer within the retail space, obtaining data related to products purchased by the at least one customer, and transforming the movement data and the purchasing data into correlation data representing temporal, spatial, and purchasing metrics within the retail space.