A system and method for transmitting still images and a video feed from an unmanned aerial vehicle to a ground station is disclosed. The system includes an aircraft including a digital video camera to capture still images and video frames of an object. A video encoder is coupled to the camera to provide a video output including video packets. A file server is coupled to the camera to provide a still image output including image data packets. A multiplexer is coupled to the video output and the still image output. The multiplexer produces a data transmission including the video packets and the image data packets. A transmitter sends the data transmission to the ground station. The ground station receives the data transmission and demultiplexes the packets into separate video and image data packets. The ground control station may select the ratio the video stream images in relation to the still image to be transmitted from the aircraft.

A method for finding at least one trigger for human intervention in a control of a vehicle, the method may include receiving, from a plurality of vehicles, and by an I/O module of a computerized system, visual information acquired during situations that are suspected as situations that require human intervention in the control of at least one of the plurality of vehicles; determining, based at least on the visual information, the at least one trigger for human intervention; and transmitting to one or more of the plurality of vehicles, the at least one trigger.

A method for video management within a CCTV system includes receiving, at a computing device via one or more intermediate devices in the CCTV system, a video stream generated by a sensor device of the CCTV system. The video stream includes a plurality of video frames. The computing device sends, via the one or more intermediate devices of the CCTV system, an instruction to a sensor device configured to generate a video stream including a plurality of video frames. The computing device receives, via the one or more intermediate devices of the CCTV system, one or more frames of the plurality of video frames embedded with metadata associated with performance of the instruction by the sensor device. Performance of the CCTV system is evaluated using the metadata embedded within the one or more video frames.

An apparatus for controlling bus doors (14, 16) that are arranged as a pair of doors that move in coordinated relation between door open positions and door closed positions, enables passengers to access an interior area (12) of a bus (10). The apparatus includes an actuator (28, 226). The actuator includes a drive lever (34, 228) that is selectively rotationally movable between rotational positions in which both of the doors are in the open positions and in the closed positions. Exemplary arrangements include at least one controller (128) that is operative to prevent the doors from causing damage to or from being damaged by engagement with obstructions. The controller further enables a bus driver or other authorized user to control access to the interior area of the bus using a user mobile device (144).

An embodiment mobility guidance system includes a sensor provided in a mobility and configured to capture a driving video or an image to transmit the driving video or the image, a memory configured to store a danger zone image, a detector configured to compare the driving video or the image captured by the sensor with the danger zone image stored in the memory to detect an existence of a danger zone on a driving path of the mobility, and a guide configured to set a guide zone in response to the detector detecting the existence of the danger zone and a change in a speed or an acceleration of the mobility, and to provide the guide zone to a second mobility.

Push-cables and associated apparatus for pipe inspection systems are disclosed. In one embodiment a pipe inspection system includes a camera head, a push-cable including an outer covering enclosing a plurality of electrical conductors for transmitting signals and/or power between the camera head and an electronic device operatively coupled to the push-cable, and a spring assembly disposed about the push-cable near the distal end where the spring assembly comprises a spring with a tapered flex section having a varying cross-sectional area and/or a varying cross-sectional shape.

An unmanned aerial vehicle manages storage of data and transfer between other connected devices. The unmanned aerial vehicle captures sensor data from sensors on the unmanned aerial vehicle. The unmanned aerial vehicle transfers the captured sensor data from the unmanned aerial vehicle to a remote controller via a wireless interface. The captured data may be transferred via a TCP link, a UDP link, or a combination thereof. If a loss of link is detected, the captured sensor data is stored to a buffer and a battery level of the unmanned aerial vehicle and a flight status of the unmanned aerial vehicle is monitored. The stored sensor data is transferred from the buffer to a non-volatile storage responsive to the battery level dropping below a predefined threshold or detecting that the unmanned aerial vehicle is stationary and a shutdown may be imminent.

A handheld communication device can capture and display a real-time video stream. The handheld communication device detects a geographic position and camera direction of the handheld communication device. A route is identified from the geographic position of the handheld communication device to a point of interest. The captured video stream is visually augmented with an indicator indicating a direction to travel to the point of interest. The indicator is overlaid on the captured real-time video stream.

In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.

A visible light sensor may be configured to sense environmental characteristics of a space using an image of the space. The visible light sensor may be controlled in one or more modes, including a daylight glare sensor mode, a daylighting sensor mode, a color sensor mode, and/or an occupancy/vacancy sensor mode. In the daylight glare sensor mode, the visible light sensor may be configured to decrease or eliminate glare within a space. In the daylighting sensor mode and the color sensor mode, the visible light sensor may be configured to provide a preferred amount of light and color temperature, respectively, within the space. In the occupancy/vacancy sensor mode, the visible light sensor may be configured to detect an occupancy/vacancy condition within the space and adjust one or more control devices according to the occupation or vacancy of the space. The visible light sensor may be configured to protect the privacy of users within the space via software, a removable module, and/or a special sensor.