1087 results about "Mobile phone camera" patented technology

Image data, such as from a mobile phone camera, is analyzed to determine a colorfulness metric (e.g., saturation) or a contrast metric (e.g., Weber contrast). This metric is then used in deciding which of, or in which order, plural different image recognition processes should be invoked in order to present responsive information to a user. A great number of other features and arrangements are also detailed.

A method and system for depositing a negotiable instrument, such as a check, using a cellular phone camera. The customer images the check for deposit by taking a photograph of the check with his cellular phone camera and sends the photograph as a MMS to the customer's bank. The system enables validating image quality, automatically recognizing code line, confirming geographical location of the deposit and verifying a courtesy amount of the check so that the check is deposited into the customer's bank account remotely.

An apparatus and a method are disclosed for changing an image-capturing position of a mobile phone camera using a mirror device. In one embodiment of the invention, the mirror device has a first mirror surface which reflects an image into a second mirror surface that further reflects and redirects the image into a lens of a mobile phone camera. Furthermore, the mirror device also has a material positioned between the first mirror surface and the second mirror surface to enable tilting of mirror surfaces, wherein the material typically contains a non-reflective surface and one or more hinges. It is preferred that the mirror device also has Velcro surfaces which attach to a surface exposing the mobile phone camera. In addition, a software program can be used to invert the image reflected into the lens of the mobile phone camera.

A MOS or CMOS sensor with a multi-layer photodiode layer covering an array of active pixel circuits. The multi-layer photodiode layer of each pixel is fabricated as continuous layers of charge generating material on top of the MOS and / or CMOS pixel circuits so that extremely small pixels are possible with almost 100 percent packing factors. The sensor includes special features to minimize or eliminate pixel to pixel crosstalk. A micro-lens array with a micro-lens positioned above each pixel directs light illuminating the pixel toward the central portion of the pixel and away from its edges. Also, preferably carbon is added to doped amorphous silicon N or P bottom layer of the multi-layer photodiode layer to increase the electrical resistivity in the bottom layer to further discourage crosstalk. In preferred embodiments each of the pixels define a tiny surface area equal to or larger than about 3.24 square microns and smaller than or equal to about 25 square microns. Detailed descriptions are provided for two general types of sensors. The first type has a pixel count of about 0.3 to 1.9 million pixels and are especially suited for sues such as cell phone cameras. The second type with pixel count of between about 1.9 million pixels to more than 5 million pixels is especially suited for high definition television cameras.

Embedded Media Markers (EMM) are optical-filter-like overlaid marks that can be printed on a part of a paper document that signify the existence of media associated with that part of the document. Users take a picture of an EMM-signified document patch using a cell phone camera, and the media associated with the EMM-signified document location is retrieved and displayed on the phone. Unlike bar codes, EMMs are nearly transparent and thus do not interfere with the document contents. Retrieval of media associated with an EMM is based on image local features of the captured EMM-signified document patch. A semi-automatically technique places an EMM at a location in a document, in such a way that the EMM encompasses sufficient identification features with minimal disturbance to the original document.

A method for generating and viewing on a handheld device a 3-D augmented reality feature containing a rich media message that is linked to a physical object comprises the steps of: a) by a first user: i. Taking a picture of a physical object; ii. selecting an augmented reality theme; iii. attaching the rich media animated object to the image taken, in the desired position and location on the physical object; iv. generating a reach media message from the augmented reality image obtained in step (iii); iv. optionally attaching an additional file to the rich media message; v. Transferring the physical object to a second user; and vi. sending to said second user a message via a communication channel, which contains the augmented reality rich media; b) by the second user (the recipient): vii. viewing the physical object received from the first user, using an AR viewer in the mobile phone camera, thereby to see the augmented reality rich media appearing on said physical object.

A method of utilizing mobile phone shooting to carry out image identification and search includes obtaining relevant picture by shooting material object with mobile phone camera lens and then utilizing image identification system and search engine system to search out information concerned by user for providing a quick means to search and to call radio Internet information in breaking limitation of mobile phone keyboard.

The invention discloses a fraud-preventing registration system and method based on dynamic two-dimension codes or dynamic bar codes. The dynamic two-dimension codes or dynamic bar codes are taken as registration basis, and information with time windows, which are carried by the two-dimension codes or bar codes, are read and identified in the form of mobile application. The method comprises the step of configuring one or multiple dynamic two-dimension code or dynamic bar code generating devices at different positions inside different buildings, wherein each dynamic two-dimension code or dynamic bar code generated by the devices comprises two sections of information, such as unique identifier of fixed devices and information of the time windows. A mobile phone user uses a mobile phone camera to capture a certain frame image of the dynamic two-dimension codes or dynamic bar codes, and the information on the frame image is sent to s server so as to check validity. In the check process of the server, the condition to judge registration validity is that whether the information of the time windows extracted in the frame image is matched with the existing time of a server system.

An information handling system analyzes secondary information captured with an image of a two-dimensional barcode to perform a function. For example, a mobile phone camera captures an image of a QR code at a product plus characters printed next to the QR code, uses optical code recognition to determine the characters, and applies information from the QR code and the characters to register the product. As another example, a security indicator is captured with an image of the QR code and applied to access information of the QR code, such as by using GPS position information, local network information, or telephone number information to encrypt and / or decrypt information stored in the QR code.

The invention disclose a bar code image identification method, belonging to the field of computer information automatic identification technology, the method comprises the following steps: S1. carrying out gradation to a colored image which is captured by an Android mobile phone camera, wherein the colored image is a bar code image; S2. conducting median filtering processing to a grayed image; S3. conducting binaryzation processing to the image which carries out the median filtering processing; S4. conducting bar code positioning to the image which carried out the binaryzation processing; S5. conducting geometric distortion correction to the positioned image; and S6. decoding the corrected image, so as to obtain a code word of the image. In the invention, the precision of the bar code identification is improved and the complexity is reduced.

The invention relates to the field of mobile communication terminals, and discloses a mobile phone camera-based latitude realization method and a mobile phone. In the mobile phone camera-based latitude realization method and the mobile phone provided by the invention, two cameras are adopted, one camera performs photometry and simultaneously changes the exposure of the second camera, the two cameras simultaneously perform shooting, and shot images are synthesized in a baseband chip by a software synthesis algorithm to obtain a photo with a large dynamic range. Therefore, the mobile phone has a new latitude shooting function and a better shooting effect, and the shot photos are clearer.

The invention discloses an intelligent mobile phone blind-guiding device, comprising a mobile phone camera module, an embedded mobile phone processor, a software module, a mobile phone wireless signal emitting and receiving module, an input and output interactive module and a back ground server, wherein the mobile phone camera module comprises a mobile phone pick-up lens and an image sensor; the embedded mobile phone processor and the software module comprise an embedded processor and an embedded operating system of a mobile phone as well as application software running on the embedded operating system; and the application software is blind-guiding software. Feature analysis is carried out on collected images through a machine vision technology, and the features of field images are matched with obstacle parameters in a background database by using an artificial intelligence technology, thereby achieving recognition and position interpretation of barriers and using voice and vibratory modes to prompt a blind person to move. The blind-guiding device of the invention is in common use and is low in cost, and has functional expansibility and upgrading capabilities.

The invention discloses a method for determining whether to permit starting up and unlocking a mobile phone by identifying a human face by a mobile phone camera. The method makes use of a human face detection method based on a gray level image and comprises the following steps: firstly, establishing a standard human face identifying template (a face image template for a mobile phone user); secondly, taking a photograph of the face of an operator by the camera before starting up or unlocking the mobile phone so that mobile phone software can automatically perform a global search of the input image and calculate the related coefficient of different parts between the image and the standard human face identifying template; and thirdly, judging whether the image accords with a human face image in the template according to a preset threshold value. If the image accords with the human face image in the template, the mobile phone is started up or unlocked automatically, otherwise, the mobile phone prompts a user that the starting up or the unlocking is failed.

Image data, such as from a mobile phone camera, is analyzed to determine a colorfulness metric (e.g., saturation) or a contrast metric (e.g., Weber contrast). This metric is then used in deciding which of, or in which order, plural different image recognition processes should be invoked in order to present responsive information to a user. A great number of other features and arrangements are also detailed.

The invention discloses a driver fatigue detecting system based on a smart mobile phone. A video colleting module (1) collects images of the face and the eyes of a driver. An image preprocessing module (2) removes image noise through the gray scale adjustment of the image pixel points. A face detecting and locating module (3) achieves face detection and locating based on image pixel nonlinear color transformation. A face following module (4) improves the speed of detection of the face area of the driver through the correlation between every two adjacent images. An eye detecting module (5) conducts binarization on the images based on the improved horizontal Sobel edge detection method. An eye feature parameter extracting module (6) extracts the pupil opening degree feature parameters. A fatigue judging module (7) judges whether the driver is fatigue when driving a vehicle based on the PERCLOS method. According to the driver fatigue detecting system based on the smart mobile phone, the face detection is rapid, efficient and accurate, the requirement for the resolution is low, a camera of an ordinary mobile phone can achieve image collection and detection, popularization and application are convenient, cost is low, and the accuracy is high.

Techniques for capturing images of business cards, uploading the images to a designated computing device for processing and recognition are disclosed. A mechanism is provided to update extracted data from the images when there are any changes. Depending on implementation, there are a number of ways to capture images of business cards (e.g., via a phone camera, a PC camera, or a scanning device). A transmission means is provided to transport the images to the designated computing device for centralized management of integrated contact information for individual users. As a result, a user may access his / her updatable integrated contact information database anywhere anytime from a chosen device.

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 and a smartphone for implementing reading learning. The method comprises the following steps: setting a camera at the end part of the smartphone in advance, and turning on the camera to obtain an image of a book content to be read by a user; querying whether data matched with the image exist in a pre-set book database or not; if so, determining the leaning mode corresponding to the data, and outputting the corresponding learning mode to the user through the smartphone. Through the technical scheme provided by the invention, the object of reading the book content through the smartphone is achieved, the defects that the existing phone camera cannot accurately focus on the reading book content in a shooting range, and the reading action is not smooth in the use process are overcome, and a convenience is provided for the reading learning to the user.

The invention discloses methods for preparing and identifying a continuous-real-object anti-counterfeit label based on image contrast. The preparing method comprises the steps of printing an anti-counterfeit serial number on blank label paper, preparing an anti-counterfeit real-object pattern in a corresponding area of the label paper, and saving a photographed picture in an inquiry website in a manner that the photographed picture corresponds to the anti-counterfeit serial number. The identifying method comprises the steps of photographing the anti-counterfeit label by using a camera of a mobile phone or logging on the inquiry website and inputting serial number codes on the anti-counterfeit label, comparing whether a real picture and a continuous real object on the anti-counterfeit label of a commodity are consistent or not, and further judging whether the commodity is genuine or not through combining historical inquiry record information returned from a database of the inquiry website if the real picture and the continuous real object on the anti-counterfeit label of the commodity are consistent. According to the method, a plurality of continuous real objects are adopted as anti-counterfeit information carriers; the real-object information carriers are non-print randomly stuck or brushed real objects, e.g. random shape / color paper, random real object lines and the like; and real-object signs can be as complicated as possible, so that the cost of copying and imitating for other people can be increased.

The invention discloses a smart phone screen locking and unlocking control method based on face detection. The method includes that when a screen of a smart phone is required to be locked or unlocked, screening locking or unlocking operation commands of a user are received, a cell phone camera is controlled to be started automatically, and a video image in front of the cell phone is obtained through the cell phone camera. Face detection technology is used for conducting the face detection for the obtained video image, and a current face is identified from the video image. The identified current face is compared with a standard face model stored in a data base and certificated, and when the current face is judged to be the same as the standard face model stored in the data base, a control unit of the smart phone controls the screen to be locked or unlocked. A smart phone screen locking and unlocking module based on the face detection is added in the smart phone, inconvenience caused by misoperation during use of the smart phone can be avoided for the user, and unnecessary energy waste is saved.

An illustrative implementation of the technology includes three primary components: a desktop application, a mobile phone application, and connections to retailer inventory and pricing APIs (e.g., for Walmart and / or Best Buy). The experience begins with the consumer going to an online retailer's website (e.g., Amazon) to search for a product. The desktop application automatically searches for product matches using the APIs of affiliated retailers. If matches and near-matches of the product are found, the product name, model, price, and local availability at affiliate locations is shown. With a mobile phone camera-scan of the product page, relevant information is transferred to the consumer's phone. From there, the consumer can interact with the options on the mobile phone to be directed to the nearby brick and mortar store of choice carrying that product at the price they want. Along the way, the retailer can present offers and additional product information directly to the consumer. A great variety of other technologies and arrangements are also detailed.

The invention relates to a human body artery blood pressure measuring method based on a smart phone. A device for the method comprises a smart phone and further comprises an electrocardiograph signal measuring module. A line with earphone plugs at the two ends is used to connect the electrocardiograph signal measuring module with the smart phone to extract an electrocardiograph signal waveform. Fingertips are slightly placed on a camera and an LED (Light Emitting Diode) flash lamp of the smart phone to extract pulse waves from images photographed by the phone. The measurement of human body artery blood pressure is realized by using the relationship between the pulse waves and the electrocardiograph signals as well as the artery blood pressure.

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 camera shooting module and electronic equipment. The camera shooting module comprises a lens module and an anti-shake module, wherein the anti-shake module comprises an outerframe and a first driving assembly, and the lens module is rotatably arranged in the outer frame; the first driving assembly comprises a first driving coil and a first magnetic element, one of the first driving coil and the first magnetic element is arranged on the outer frame, the other one is arranged on the lens module, and the first driving coil is located in a magnetic field of the first magnetic element; and under the condition that the first driving coil is powered on, the lens module can rotate relative to the outer frame. According to the camera shooting module and the electronic equipment, the problem that the lens diameter of the lens module is designed to be large due to an anti-shake stabilizing system of an existing mobile phone camera can be solved.

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 provides a two-dimensional code attendance checking system based on an intelligent cell phone. The two-dimensional code attendance checking system comprises a remote attendance checking management server system, a local display type two-dimensional code terminal browser webpage, an intelligent cell phone mobile attendance checking application system, an intelligent cell phone camera, an intelligent cell phone two-dimensional code identification system, an intelligent cell phone information sending system and a remote attendance checking recording information storage system. Based on a two-dimensional code technology, attendance checking scanning equipment is finished by matching of the popularized intelligent cell phone and equipment capable of surfing the Internet in a workplace; the equipment is low in cost and has the low-carbon and environmentally-friendly effects; the attendance checking is flexible and convenient and the worker attendance checking is carried out by two-dimensional code scanning, and the position of the cell phone and the matching degree in the current time are judged; qualified information is confirmed and then is sent to the remote attendance checking management server system to be stored, and an attendance checking result and an attendance checking abnormity condition are generated in real time, so that the problem that a card is punched by other one is prevented and counterfeited attendance checking records are prevented; and workers can obtain attendance checking abnormity reminding and attendance checking record inquiry from the intelligent cell phone mobile attendance checking application system in real time so as to carry out appealing explanation.

A subminiature imaging optical system suitable for a subminiature optical device such as a mobile phone camera. An aperture stop is provided. A first lens has a positive refractive power and is convex at an object side. A second lens has a negative refractive power. A third lens has a positive refractive power. Also, a fourth lens has a negative refractive power. The optical system has a total length along an optical axis direction according to following relation 1:1.2<TL / f<1.5 relation 1,where TL is a distance from the aperture stop to an image plane, and f is an effective focal distance of an entire optical system.

The prevention of counterfeiting labels for various products is addressed by introducing counterfeit proof labels having an optically concealed, invisible progressive shifting security safety symbols for quick identification. The label is printed on a high-resolution micro-optic photo chromogenic material. A multiple number of images of an optically compressed security safety symbol are printed on the focal plane along the linear optical center of each micro-lenticule across the entire area or a small portion of the label. Due to the optical effect of the micro-optic, the complete security safety symbol is not clearly visible at normal viewing distance. When viewing the label directly or using the camera of a mobile phone at a close-up distance or slightly bending the label, each micro-lenticule within the viewing angle projects and magnifies a small section of the compressed security safety symbol on the surface of the micro-lenticules to reassemble the complete original image of the security safety symbol for identification.The image elements that compose the compressed security safety symbols under each micro-lenticules are printed at the approximately same location on the focal plane of each micro-lenticule in relation to the linear optical center of the micro-lenticule. Therefore the same and complete reassembled image of the security safety symbol can be seen from any location of the label for quick identification. The complete reassembled image of the security safety symbol is progressive shifting following a moving viewpoint for quick and accurate identification.The color photo of the reassembled security safety symbol can be sent by a mobile phone installed with a related software to an Anti-Counterfeiting Control Center for computer matching and verification and the consumer will be advised of the result in a matter of seconds

This real-time three-dimensional imaging system for a cellular phone camera generates an all-in-focus image with depth information. The system comprises a micromirror array lens, an imaging unit for capturing images with different focal planes, which are changed by the micromirror array lens, an image processing unit for processing the images taken by the imaging unit and converting the processed images into three-dimensional displayable type, and three-dimensional display unit for displaying the processed three-dimensional images. “Depth from focus” method is used to get an all-in-focus image and depth information from multiple two-dimensional images with different focal planes. This system is compact because only one camera system is used for three-dimensional imaging. For the real-time three-dimensional imaging, micromirror array lens with high-speed variable focus and high speed image processing unit are used. This application has also real-time auto focusing and optical zooming function.

The invention discloses a method for detecting a skin state through a mobile phone. The method comprises the steps of shooting skin of a to-be-tested user through a camera of the mobile phone, calculating state parameters of the skin according to a skin image obtained by shooting, and identifying the skin state according to the calculated state parameters of the skin. Further disclosed is the mobile phone. The mobile phone is capable of detecting the skin state. The mobile phone comprises the camera, a storage module and a processing unit, wherein the camera is used for scanning the skin so as to generate the skin image, the storage module is used for storing the skin image obtained by scanning, and the processing unit is used for calculating the state parameters of the skin according to the skin image obtained by scanning. According to the method, the camera of the mobile phone is used for scanning the skin, and the state parameters of the skin are calculated and identified according to the skin image generated by scanning. Therefore, relevant information of the skin state can be conveniently offered to the user, and the user conveniently masters the skin state at any time.