450 results about "Mobile camera" patented technology

A system, method, and device for remotely controlling the camera functions of a mobile camera phone are disclosed. The mobile camera phone and another device are communicable with one another using the Bluetooth™ protocol. Each includes a Bluetooth module that establishes a wireless connection with one another such that data and instructions can be exchanged. The other device receives and displays data representative of the mobile camera phone's viewfinder. A camera application is coupled with the Bluetooth module for establishing a master / slave relationship with a corresponding camera application in the mobile camera phone. The other device sends camera control commands to the mobile camera phone wherein the camera control commands can manipulate camera settings, take a picture, and dispose of the resultant picture. The other device further includes a user interface coupled with the display that provides a means of inputting data to manipulate the camera application.

A system for effecting transactions, typically retail transactions, by using account information stored on a computing device, such as a cell phone, wherein the computing device is placed on an optical reader at the merchant's establishment. The computing device generates a pattern, such as a bar code, on a visual display, which can be read by the merchant's optical reader. The display encodes account number and other information for the transaction. The merchant's optical reader also includes a display, which can be read by the computing device by using the cell phone camera. The merchant's display includes transaction amount and other information allowing updating of account information in the computing device. The computing device may include security codes and / or a fingerprint reader to allow access to the account information. The use of the fingerprint reader can provide positive identification of the individual, which may be used for restricted items such as age restricted items such as beer, cigarettes, and senior discounts.

A method of face categorization and annotation of a face image library includes automatically cropping a face within an acquired digital image or removing one or more non-facial items from the digital image, or both, and thereby generating a full-size face image. The full-size face image is stored with other indicia identifying a person corresponding to the face in a face image library of an embedded device such as a mobile camera phone or other handheld camera device.

A vehicle monitoring system includes a vehicle, a mobile camera device, a transmitter or transmitting transceiver, a receiver or receiving transceiver, and an integrated vehicle cockpit display. The mobile camera device, comprising a processor and a camera, is located within the vehicle or attached to the vehicle for taking an image or video within or outside the vehicle. The transmitter or transmitting transceiver is in communication with the mobile camera device for transmitting the image or the video taken by the mobile camera device. The receiver or receiving transceiver is for receiving the image or the video, taken by the mobile camera device, from the transmitter or the transmitting transceiver. The integrated vehicle cockpit display, built into the vehicle, is in communication with the receiver or the receiving transceiver for displaying the received image or the received video taken by the mobile camera device.

In a class of embodiments, a method and system for characterizing a display device using a camera device (e.g., a consumer grade, mobile camera device) to sense light emitted by the display device during display of one or more test images, and to generate measurement data characterizing the display and / or calibration data useful for calibrating the display device. In some embodiments, the display device is adjusted or calibrated manually in response to such calibration data, for example by user actuation of display device controls in response to calibration data indicative of display setting recommendations. In some embodiments, the test image(s) are embedded in a video stream (e.g., overlaid on arbitrary video content). For example, test images including appropriate timing information and calibration sequences are embedded in a video stream for display by the display device. In some embodiments, the user is prompted to align the camera device (e.g., to position the camera device such that light emitted from a test image at least substantially fills the camera field of view).

A remote-controlled, roof-mounted, digital camera mount for a motor vehicle is herein disclosed. The apparatus comprises a mount system with a remote control. The mount system provides for remote control of pan and tilt functions on the mount. The remote control is provided by two (2) or more electric motors in wireless communication with said remote control located by an operator's position enabling the operator to control the positioning of the camera while operating the camera.

Mobile camera localization using depth maps is described for robotics, immersive gaming, augmented reality and other applications. In an embodiment a mobile depth camera is tracked in an environment at the same time as a 3D model of the environment is formed using the sensed depth data. In an embodiment, when camera tracking fails, this is detected and the camera is relocalized either by using previously gathered keyframes or in other ways. In an embodiment, loop closures are detected in which the mobile camera revisits a location, by comparing features of a current depth map with the 3D model in real time. In embodiments the detected loop closures are used to improve the consistency and accuracy of the 3D model of the environment.

Some embodiments include methods and / or systems for using multiple cameras to provide optical zoom to a user. Some embodiments include a first camera unit of a multifunction device capturing a first image of a first visual field. A second camera unit of the multifunction device simultaneously captures a second image of a second visual field. In some embodiments, the first camera unit includes a first optical package with a first focal length. In some embodiments, the second camera unit includes a second optical package with a second focal length. In some embodiments, the first focal length is different from the second focal length, and the first visual field is a subset of the second visual field. In some embodiments, the first image and the second image are preserved to a storage medium as separate data structures.

The present invention is related to systems and methods for translating language text on a mobile camera device offline without access to the Internet. More specifically, the present invention relates to systems and methods for displaying text of a first language and a translation of the first language text into a second language text which is displayed in real time in augmented reality on the mobile device. The processing can use a single line or a multiline algorithm designed with a plurality of processing innovations to insure accurate real-time translations without motion jitter. The invention may be used to help travelers in a foreign country with difficulties in reading and understanding text written in the local language of that country. The present invention may be utilized with wearable computers or glasses, producing seamless augmented reality foreign language translations. Some embodiments are particularly useful in translations from Asian languages to English. Some embodiments are especially optimized to translate multiple lines of foreign language text.

A self-contained, solar-powered mobile monitoring system is independent of external power sources and remotely accessible using a web browser. The system may include a mobile enclosure that houses a power regulator and batteries, which allow for the distribution and collection of electricity generated by solar panels mounted to the top of the enclosure. Also attachable to the mobile enclosure are weather sensors and an extendable tower. A camera is mountable to the top of the tower to allow for video monitoring, and a mobile camera is further provided for site-specific monitoring. Houseable inside the enclosure is monitoring equipment that collects video from the tower and mobile cameras, and weather data from the weather sensors. Networking equipment housed inside the enclosure make these data wirelessly accessible to local computer users by virtue of an omni-directional antenna mounted to the extendable tower. The data also is transmitted wirelessly to an Internet connection, whereupon the data are routed to a network operations center to allow access by off-site, remote users.

The present invention is related to systems and methods for translating language text on a mobile camera device offline without access to the Internet. More specifically, the present invention relates to systems and methods for displaying text of a first language and a translation of the first language text into a second language text which is displayed in real time in augmented reality on the mobile device. The processing can use a single line or a multiline algorithm designed with a plurality of processing innovations to insure accurate real-time translations without motion jitter. The invention may be used to help travelers in a foreign country with difficulties in reading and understanding text written in the local language of that country. The present invention may be utilized with wearable computers or glasses, producing seamless augmented reality foreign language translations. Some embodiments are particularly useful in translations from Asian languages to English.

The invention discloses a depth extraction method based on monocular vision. The method comprises: 1, demarcating the camera of a phone to obtain the inner parameters and image resolution of the camera; 2, establishing a depth extraction model described in the descripton; 3, acquiring the pixel value u, v of the target point through image acquisition of the target to be measured; 4, calculating the depth value of the object to be measured on the image by using the camera internal parameter and the pixel value of the object point obtained in the step 1 and combining with the camera depth extraction model. The depth extraction method based on monocular vision of the invention can be applied to cameras with different parameters such as field angle, focal length, image resolution, etc. to improve ranging accuracy and provide support for object measurement in machine vision and three-dimensional reconstruction of real scene.

A mobile device, system, method, and software for communicating with the internet utilizing a written universal resource locator (URL). A camera unit is used to receive a raw visual light image containing a written URL, the raw visual light image is converted to an electronic image, and the device locates glyphs of at least one particular standardized set of URL characters in the electronic image, for example glyphs corresponding to www. Then the URL characters are extracted from the electronic image, the URL is sent in a request signal to a web server, and in response an internet site is presented. The mobile device includes initiation means for sending an instruction to obtain a raw visual light image that includes glyphs of at least one particular set of characters, such as www, and further includes a camera, a display, and an internet interface. The mobile device processes an electronic image signal provided by the camera, in order to obtain the web site signal from the internet interface.

The invention discloses a rapidly-focusing mobile phone camera shooting module which comprises a microprogrammed control unit, a lens, a focusing motor for driving the lens to move and a distance measuring sensor. The microprogrammed control unit is used for obtaining a signal of the distance measuring sensor, calculating the focusing position of the lens and controlling the focusing motor to drive the lens to move to the focusing position for focusing. By means of the rapidly-focusing mobile phone camera shooting module, mobile phone system sources are not occupied, the focusing position of the lens can be accurately obtained, and ultra-fast focusing of a mobile phone can be achieved.

The invention discloses a method for starting a phone camera in a screen extinguishing state of a mobile phone. The method includes the following steps of setting a start sensing area which is used for starting the mobile camera in the mobile phone touch screen and an acquiescent slide track; monitoring the started sensing area and acquiring the touch operation and the current sliding track in the sensing area; judging the similarity level between the current sliding track and the acquiescent slide track, and if the similarity reaches a preset similarity threshold, then starting the phone camera. By the method and the device users still can operate the touch screen under the circumstance of mobile phone screen extinguishing; and the phone camera can be quickly started through some simple touch operation. The method is simple and quick to operate, and is capable of helping people quickly capture the scene, enhancing the usability of mobile phone and improving users' experience.

A radar detector accessory permits wireless connectivity to a smartphone to enhance or improve upon the existing radar detector, by providing enhanced display of the detector status and control of the detector, including storage of false alerts and locations of interest, storage and alerting to known hazards such as speed cameras and redlight cameras. Further, using the smartphone data connection, events of interest are reported to a central server, such as radar / laser detections, police activity sightings and mobile camera sightings, and remotely reported events of these types are delivered to the smartphone for delivery as alerts to the local driver.

The invention discloses an optimized depth extraction and passive ranging method based on monocular vision. The method is characterized by comprising steps: 1 calibrating a phone camera and obtaininginternal parameters of the camera and the image resolution; 2, establishing a depth extraction model; 3, acquiring pixel value u, v of a target point through image acquisition of that target to be measured; 4, utilizing the camera internal parameters and the target point pixel value obtained in the step 1 and combining the camera depth extraction model, calculating a distance L between an arbitrary point on an object image to be measured and a mobile phone camera, and extracting and passively optimizing a depth based on monocular vision of the present invention. The ranging method can be applied to cameras with different angle of view, focal length, image resolution and other parameters to improve the ranging accuracy and provide support for object measurement and 3D reconstruction of realscene in machine vision.

The invention discloses a mobile phone dynamic camera flash lamp luminance compensation system and a method. The mobile phone dynamic camera flash lamp luminance compensation system and the method comprise the following steps: step A, a mobile phone camera is started and a distance detection unit and a luminance detection unit are started at the same time; step B, the distance between a mobile phone and a scene is acquired through the distance detection unit, the luminance of the scene is acquired through the luminance detection unit at the same time, and the acquired distance value and the acquired luminance value are reported back to a central proceeding unit (CPU); step C, the CPU correspondingly calls a dynamic luminance compensation database in a storer according to the distance value and the luminance value, and acquires flash lamp luminance compensation data at the current distance and the current luminance; and step D, the CPU controls a flash lamp to conduct luminance compensation processing on the photographed scene according to the acquired flash lamp luminance compensation data. According to the mobile phone dynamic camera flash lamp luminance compensation system and the method, the distance and the luminance of the photographed scene are detected through the distance detection unit and the luminance detection unit, wherein the distance detection unit and the luminance detection unit are installed at an end where the camera is located, the dynamic luminance compensation database is called to compensate the flash lamp luminance of the current photographed scene, so that optimal photographing effects of the photographed scene can be achieved, the problem that the flash lamp luminance compensation is not accurate when a mobile phone camera is used for taking photos at present is solved, and photographing effects of the mobile phone camera are improved.

The invention discloses a road surface abandoned object detection method based on a deep convolutional network. Mobile terminal detection points serve as road cameras and acquire image information through cameras, and deep learning is introduced into road surface event recognition and is improved so as to significantly improve road event recognition accuracy. According to the method, acquired images are analyzed through the convolutional neural network, and target detection with mobile cameras and static images is achieved; a road surface ROI is divided into multiple meshes, a road surface-non-road surface recognition model is built, and static targets such as highway surface abandoned objects and thrown objects are reversely recognized through non-road surface meshes. The method is applied to non-real-time tasks like detection of road surface abandoned objects and thrown objects, the characteristics and advantages of the mobile internet are fully utilized, and detection of road surface events like road surface abandoned objects with a high region coverage rate is achieved at a low cost.

The invention relates to a license plate identification and positioning system based on a combined type vehicle-road video network. The license plate identification and positioning system based on the combined type vehicle-road video network comprises a vehicle-mounted mobile camera monitoring subsystem (1), a fixed camera monitoring subsystem (2) and a roadside information processing subsystem (3), wherein the vehicle-mounted camera monitoring subsystem (2) is installed on a probe vehicle and used for identifying and positioning vehicle license plates before or behind the probe vehicle, the fixed camera monitoring subsystem (2) is installed above a road and used for identifying and positioning all moving vehicle license plates which can be identified and positioned in a certain road section, the roadside information processing subsystem (3) is installed beside the road section monitored by the fixed camera monitoring subsystem (2) and used for receiving and processing the vehicle information identified and positioned through the vehicle-mounted mobile camera monitoring subsystem (1) and the fixed camera monitoring subsystem (2) which passes the road section, judging the traffic conditions of the road section and sending the processed vehicle information to a traffic management department.

The invention discloses a deep learning pedestrian detection method based on an embedded terminal. The method comprises the steps that first, at a sample preparation stage, an existing automatic driving dataset is acquired, or manual annotations obtained after a fixed camera and a mobile camera shoot videos are collected; second, at a training stage, a large quantity of training images are used totrain parameters of a constructed convolutional neural network so as to complete detection feature learning; third, at a test stage, a large quantity of test images are input into the trained convolutional neural network, and a detection result is obtained; and fourth, at a porting stage, code level optimization and porting into the embedded terminal are performed. According to the method, the 18-layer convolutional neural network is adopted to perform pedestrian feature learning, and the method has an innovative advantage compared with a traditional machine learning method; and an optimization strategy for the embedded terminal is also proposed, the network scale and algorithm complexity are further reduced, and the method is suitable for ADAS function application.

Real-time camera tracking using depth maps is described. In an embodiment depth map frames are captured by a mobile depth camera at over 20 frames per second and used to dynamically update in real-time a set of registration parameters which specify how the mobile depth camera has moved. In examples the real-time camera tracking output is used for computer game applications and robotics. In an example, an iterative closest point process is used with projective data association and a point-to-plane error metric in order to compute the updated registration parameters. In an example, a graphics processing unit (GPU) implementation is used to optimize the error metric in real-time. In some embodiments, a dense 3D model of the mobile camera environment is used.

The invention relates to a toughened glass test examination apparatus, and concretely relates to a disk wheel rotating bench rack shooting V-shaped clamping plate nickel alloy glass examination apparatus. The apparatus is characterized in that a bench plate rotating shaft at one side is fixedly provided with a hand-operated disk wheel, a disk wheel flat key is arranged between the bench plate rotating shaft and the hand-operated disk wheel, and the outer side surface of the hand-operated disk wheel is provided with a disk wheel cranking handle; two transverse horizontal rods are in sliding fit with shooting transverse slide blocks, a shooting square bar is fixedly arranged between the two shooting transverse slide blocks, the shooting square bar is provided with a mobile camera assembly, an impact cross bar is fixedly provided with a cylinder impacter in a slidable manner, the upper plane of a test bench plate is fixedly provided with a coplanar V-shaped groove clamping plate assembly, and a broken glass recovery container is fixedly arranged between an entirety of bench plate bearers and lock pin bearers and the upper plane of a supporting side plate; and an integral frame is provided with a rack elevating industry camera, a disk wheel overturns test bench plates, a screw thread lock pin is arranged to fasten, and especially the coplanar V-shaped groove clamping plate assembly and the cylinder impacter are also arranged to form an automatic whole-course detection base apparatus.

A system, device and method for conducting surveillance of activities, which is configured to autonomously capture of video of a scene being experienced by an individual, the device being configured to be supported on a user. The device includes components that capture and transmit video, and is configured to operate in a plurality of modes, including one mode where the device relays streaming video and at least one other mode or period mode where the device transmits a frame of a video image at a predetermined time interval. The device is configured to autonomously switch from one mode, such as, the period mode, to a live streaming mode of operation upon actuation based on a condition of a user or the user's environment. Embodiments of the device may be configured with a removable capture accessory that provides alternate scene viewing or recording options.

Embodiments of the present invention utilize an attachable lens board that can be secured to the back of a mobile device and placed in a position that is proximate to the built-in camera lens associated with the camera system of the mobile device. As such, the lens board can be positioned to accurately align several different auxiliary camera lenses, each installed within various camera lens receivers formed within the lens board, with the built-in camera lens for focusing and / or image capture. Additionally, embodiments of present invention can include circuitry within the lens board that can be used to identify the types of lenses currently installed within each camera lens receiver. In this manner, embodiments of the present invention can correct possible optical imperfections of resultant images produced by the combination of the built-in camera lens and auxiliary lens selected for focusing and / or image capture by the user.