101 results about "Camera interface" patented technology

The invention discloses a driving assistance system based on a domain controller, which comprises a domain controller main body integrated with a system-on-chip (SoC) and a micro control unit (MCU), and the SoC is connected with the MCU through a hardware enable signal line; the power supply management module supports a dual-mode wake-up mechanism of KL15 hard wire wake-up and CAN FD network wake-up; the multi-sensor fusion module comprises at least 12 paths of GMSL camera interfaces, 12 paths of ultrasonic radar interfaces and 6 paths of millimeter wave radar interfaces; the time synchronization module is integrated with a GNSS / IMU (Global Navigation Satellite System / Inertial Measurement Unit) integrated navigation unit and supports a GPTP / PTP / Chrony multi-mode time service protocol; the dynamic power supply management system is used for realizing hierarchical power-on control of the SoC and the MCU and time sequence management of a peripheral power supply; wherein the SoC adopts a horizon line investigation 6-series chip, an A78AE processor core and an R52 + security core are integrated, and the AI computing power reaches 80-560 TOPS. GNSS / IMU time service and GPTP / PTP / Chrony multi-protocol synchronization are integrated in the domain controller, and the problem of clock skew of multiple sensors is solved.

The utility model discloses a mobile mutual inductor test connection intelligent detection device relates to mutual inductor detection technical field, by box, hardware platform, mutual inductor test connection intelligent detection system, man -machine interaction screen, handheld handle composition. Box is matched with power key, camera, USB interface, charging port, man -machine interaction screen, and the hardware platform and power supply are configured in the box, and the mutual inductor test connection intelligent detection system contains standard wiring library, the utility model compares after processing and identifying the image of camera shooting, realizes the judgment whether the test connection is correct or not. Box installs detachable handheld handle, and the on -the -spot detection and storage carrying of convenient handheld are carried out.

According to one embodiment, an information processing apparatus includes a processor and a camera interface connectable to a camera to receive camera images captured by the camera. The processor detects a feature of a customer of a store within a camera image, generates first text information corresponding to the detected feature of the customer, then inputs an inquiry text incorporating the first text information to a generative AI model to generate second text information for a promotion of a merchandise item sold at the store. The second text information can be sent to an output device in the store such as a display screen or a speaker.

The utility model discloses an astronomical telescope which comprises an objective lens, an eyepiece, a finderscope, a reflective mirror, a corner mirror and a displacement assembly. The objective lens is arranged on the first optical axis. The second optical axis and the first optical axis form an included angle and intersect with each other. The finderscope is arranged on the second optical axis, and the finderscope and the eyepiece are located on the two sides of the first optical axis respectively. The reflective mirror is arranged at the intersection of the second optical axis and the third optical axis, the third optical axis is parallel to the first optical axis, and the reflective mirror can reflect light incident along the third optical axis to the finderscope. The corner mirror is movably arranged at the intersection of the first optical axis and the second optical axis, and the corner mirror can reflect the light passing through the objective lens to the eyepiece and can shield the light passing through the finderscope. The displacement assembly comprises a moving part connected with the corner mirror. According to the astronomical telescope provided by the embodiment of the utility model, the corner mirror can be integrated with any one or all of the finderscope and the camera interface.

The present disclosure provides a screen projection method, a videoconferencing device, and a system. The screen projection method includes: receiving a to-be-projected video stream sent by a screen projection initiator; decoding the to-be-projected video stream to generate a plurality of to-be-projected images; creating a virtual camera to enable a videoconferencing screen projection application to control the virtual camera through a standard camera interface to collect each to-be-projected image; and performing screen projection on the collected to-be-projected image by the videoconferencing screen projection application. The present disclosure can enable the videoconferencing screen projection application to interface with an operating system through a standard wireless screen projection collection interface to obtain the to-be-projected image for screen projection.

The present application discloses an industrial camera power supply circuit and method. The industrial camera power supply circuit is electrically connected to the Camera link interface of an image acquisition card. The industrial camera power supply circuit includes a power output module, a load detection and determination module, and a control module. Among them, the power output module is electrically connected to the control module, the load detection and determination module, and the Camera link interface of the image acquisition card respectively. The load detection and determination module is electrically connected to the control module. The load detection and determination module is used to judge the category of the camera, and the control module is used to control the power output module to output a power supply matching the category of the camera to the Camera link interface of the image acquisition card according to the category of the camera. The industrial camera power supply circuit of the present application transmits the power supply on the image acquisition card to the camera interface through the Camera link interface of the image acquisition card to provide power for the camera, which is convenient to use and does not require additional laying of industrial camera power cables.

In one aspect, the method includes causing presentation of a camera interface, the camera interface to display a first image captured by a camera of a computing device of a first user, causing presentation of a plurality of augmentation icons within the camera interface, each of the image augmentation icons being associated with a respective image augmentation mechanism, detecting user selection of an auxiliary augmentation icon of the plurality of image augmentation icons, the second image icon being associated with an second image augmentation mechanism, determining an second image selection criterion for an second image augmentation mechanism, selecting an second image based on the second image selection criterion, the second image being selected from a plurality of photographs associated with the first user, and overlaying the second image on the first image to generate a composite image that is presented within the camera interface.

The utility model discloses an intelligent seeding navigation monitoring system which comprises a remote monitoring terminal, a display terminal and a cloud platform, the remote monitoring terminal is provided with a camera interface, a GPS signal interface, a data acquisition interface and a buzzer, and the buzzer is connected with a processor. The camera is opened or closed according to a networking state, a GPS signal, a camera signal and a data acquisition state; the remote monitoring terminal uploads collected data to the cloud platform in real time, the display terminal is provided with a loudspeaker, the cloud platform is provided with an analysis module, and the analysis module generates broadcast information according to the collected data and carries out real-time voice broadcast through the loudspeaker. According to the utility model, the buzzer is used for alarming and reminding, an operator does not need to continuously pay attention to an indicator light, the display terminal can broadcast and collect data information in real time in a voice manner, and the operator does not need to continuously pay attention to a screen and can know the progress and state of seeding operation in time, so that fatigue is relieved, and the comfort level of seeding operation is improved.

The invention discloses an image acquisition system, a control method, electronic equipment and a storage medium, and relates to the field of machine vision. The system comprises: a light source; the camera is connected with the light source through a first power supply trigger cable; the first controller is not connected with the camera, is connected with the light source through a second power supply trigger cable, and is used for supplying power to the camera and the light source and sending a trigger signal to the light source; the second controller is not connected with the light source, is connected with the camera through a communication cable, and is used for sending the acquired image data to the second controller by the camera and sending a preset parameter signal to the camera by the second controller; wherein the transmission time of the trigger signal and the transmission time of the parameter signal are not overlapped; and a filter circuit is arranged in the camera interface and is used for separating different types of trigger signals in the same transmission link. On the basis of integrating the camera and the light source, the number of physical links of the first power supply trigger line is reduced, the line complexity of the system is reduced, and the reliability of the system is improved.

The invention provides a camera neural network chip architecture system, which is characterized in that two neural network processors are connected in parallel through a bus connected to a camera interface, so that original camera data are processed, and target detection data and noise reduction enhancement data are respectively formed to describe the positioning and form of a shot object; and a clock is further provided to ensure that the two kinds of data can be simultaneously displayed on a background screen, so that synchronization of data processing can be realized. The system is a storage and calculation integrated calculation architecture, and additional storage is not needed in the calculation processing process, so that the system has the characteristics of high efficiency, low power consumption and low cost.

The utility model relates to the technical field of fire alarm equipment, and discloses a fire identification device which comprises a machine body, sliding grooves are formed in the two sides of the machine body, side sliding plates are arranged in the sliding grooves in a sliding mode, filter screens are arranged on the side sliding plates, the tail ends of the side sliding plates are connected with a lower blocking shell, and the lower blocking shell is connected with a fire alarm device. The top of the lower blocking shell is in lap joint with an upper blocking shell, and the upper blocking shell is rotationally arranged on the side sliding plate. A switch is arranged in front of the machine body, and an alarm interface and a camera interface are sequentially arranged on the left side of the rear of the machine body. The fire identification device solves the problems that in the prior art, after individual users or warehouses located in remote areas are provided with fire identification devices, due to the fact that the number is small, periodic maintenance is inevitably lacked, a large amount of dust falls on the fire identification devices, and after the dust enters the joints of the fire identification devices, the fire identification devices cannot be maintained. And the fire identification device is in poor contact, so that the sensitivity of the fire identification device is influenced.

The invention relates to a driver monitoring system test evaluation method based on a simulation robot. Comprising the following steps: step 1, constructing a simulation robot for a DMS test; 2, designing a DMS test simulation robot control system; step 3, establishing a DMS system; step 4, generating and evaluating a test case; according to the method, firstly, a simulation robot used for DMS testing is constructed, then a steering engine is selected and arranged, and fine control over fatigue actions of the simulation robot is achieved through control of a microcontroller; a python language is used as a development basis, modular design is adopted, eye detection, head posture estimation, attention evaluation, parameter configuration, a camera interface and the like are included, and a detected DMS system is deployed; and finally, based on the national standard and the actual driving behavior, generating an efficient and high-coverage test case set by adopting a combined test theory, and executing through a control system, so that the problems of low efficiency, high cost, uncontrollable action, insufficient scene coverage, lack of a standardized evaluation system and the like of the existing DMS test method are solved.

A system and method for providing virtual and distance education using hands-on exercises, and more specifically, to a system and method for providing remote virtual training and skill demonstration evaluation are disclosed. The system includes an instructor computing system and one or more student computing systems. The instructor computing system include a course material processor for generating course material for presentation to student computing systems, an instructor document transmitter / receiver for exchanging educational documents with each of one or more student computing systems, an instructor camera coupled to a camera interface for capturing a live video stream transmitted to each of the one or more student computing systems for viewing presentations and course material, and an instructor message processor for exchanging live and interactive messages with each of the one or more student computing systems. Each one of the one or more student computing systems include a student document transmitter / receiver for exchanging educational documents with the instructor computing systems, a student message processor for exchanging interactive messages with each of the other one or more student computing systems and the instructor computing system, a student camera coupled to a camera interface for capturing a live video stream transmitted to the instructor computing system and to each of the one or more student computing systems for viewing questions, comments and feedback, and a student audio-video interface for receiving streaming video data and course material from the instructor computing system and displaying for live viewing. The student computing systems provide streaming video of skill demonstrations and hands-on exercises of each of the one or more students demonstrating comprehension of presented course material.

Smoke detection device (1) for detecting smoke (10) from a fire (9) in a monitored area (U), with a camera interface (5) for receiving a sequence of images (3) with at least two temporally successive individual images (4), wherein the individual images (4) show the monitored area (U), with a difference module (6) for eliminating a scene background (8) of the monitoring area (U) in the individual frames (4) and for generating background-cleaned intermediate frames (13), with an evaluation module (14), wherein the evaluation module (14) is designed to perform a motion estimation to determine a movement of smoke sections of the smoke (10) in the monitoring area (U) based on the background-cleaned intermediate images (13), characterized by a background module (11), wherein the background module (11) is configured to create a background model (12) of the monitoring area (U), wherein the difference module (6) is configured to apply the background model (12) to the individual images (4) to generate the background-cleaned intermediate images (13), wherein the application of the background model (12) to the individual images (4) is configured as a division of the individual image (4) by the background model (12).

The application discloses a microscopic imaging method, which comprises the following steps: selecting a beam combination imaging device with at least two objectives, aiming the objectives at a to-be-measured object, and installing a camera at a camera interface of the beam combination imaging device; adjusting all the objectives so that there is a height difference in the depth of field intervals of all the objectives; and obtaining images of target regions corresponding to all the objectives by the camera. The application further discloses a microscopic imaging device and a storage medium. By using the beam combination imaging device with the single-camera multi-objective structure, the depth of field intervals of the camera can be increased by focusing different objectives on different height planes.

The present disclosure relates to systems, devices, and methods related to deep learning accelerators and memory. An integrated circuit can be configured to execute instructions with matrix operands and configured with a random access memory configured to store instructions executable by the deep learning accelerator and matrices of an artificial neural network, a connection between the random access memory and the deep learning accelerator, a first interface to a memory controller of a central processing unit, and a second interface to an image generator, such as a camera. While the deep learning accelerator processes a current input to the artificial neural network using the random access memory to generate a current output from the artificial neural network, the deep learning accelerator can concurrently load a next input from the camera into the random access memory; meanwhile, the central processing unit can concurrently retrieve a previous output from the random access memory.

The utility model discloses a thundersight mainboard fusion circuit for a thundersight all-in-one machine. The thundersight mainboard fusion circuit comprises a power supply circuit, a camera interface and processing circuit, a video processing circuit, an SoC module circuit, a radar interface circuit, a neural network processing circuit and an external communication interface circuit, the input end of the camera interface and processing circuit is also connected with the SoC module circuit, and the output end of the camera interface and processing circuit is connected with the video processing circuit; the input end of the video processing circuit is also connected with the output end of the SoC module circuit, and the output end of the video processing circuit is connected with the input end of the neural network processing circuit; the input end of the radar interface circuit is connected with the output end of the SoC module circuit, and the input end of the external communication interface circuit is connected with the output end of the SoC module circuit. According to the utility model, the compatibility of the Leiye mainboard fusion circuit is improved.

A monitoring apparatus includes a camera interface, a terminal interface, a communication interface, and a processor. The processor is configured to recognize actions of a settler at a point-of-sale terminal based on images from a camera, recognize input operations performed at the point-of-sale terminal by the settler based on information from the point-of-sale terminal and detect fraudulent acts based on a recognized action and a recognized input operation at the point-of-sale terminal. The processor outputs a fraud detection image corresponding to a detected fraudulent act to at least one of the point-of-sale terminal and an attendant terminal.

According to the image transmission system used for monitoring, the image transmission system adopts the NAND gate logic circuit to replace traditional complex digital camera interface logic, the interface logic is simplified, and the requirements for interface resources and processing burden of a single-chip microcomputer are greatly reduced. And the physical size of the single-chip microcomputer and the occupied space of the system are obviously reduced. Through a double-buffer ping-pong operation mechanism and a threshold value control strategy, a high-speed and continuous data flow generated by the image acquisition module can be coped with only by utilizing a limited buffer memory in the single chip microcomputer. The requirement for a storage device in the data camera interface is avoided, and the cost of the storage device is saved. The compact, low-cost and efficient image transmission system makes it possible to realize reliable fly and insect image acquisition and storage by the insect situation monitoring control unit of the embedded equipment deinsectization device. And a high-quality data basis is provided for subsequent intelligent functions such as insect condition recognition and statistics based on image analysis.

Provided is a technique capable of carrying a measurement device to a subject at an appropriate timing at which a biological information measurement can be performed on the subject. A carrying system (1) includes a measurement device (20) that measures biological information of a subject; a carrying mechanism (14) that carries the measurement device; a storage device (13) that stores the biological information of the subject measured by the measurement device (20) carried by the carrying mechanism (14); a camera interface (17) and a communication interface (18) that acquire a condition of the subject; and a computing device (11) that controls the carrying mechanism (14). The computing device (11) determines whether the measurement of the biological information of the subject by the measurement device (20) can be performed in accordance with the condition of the subject, and controls the carrying mechanism (14) to carry the measurement device (20) to the subject in a case where the measurement of the biological information of the subject can be performed.

A computer device for providing a virtual try-on image includes a camera interface connected to a camera, a display interface connected to a display device, and a processor configured to communicate with the camera through the camera interface and communicate with the display device through the display interface. The processor is configured to receive input images generated by the camera photographing a user through the camera interface, by processing a user object obtained from one of the input images, generate pose estimation data representing a pose of the user object, select an input image having the user object of which pose represented by the pose estimation data matches a reference pose, generate the virtual try-on image by synthesizing a clothes object with the user object included in the selected input image, and visualize the virtual try-on image by controlling the display device through the display interface.

A monitoring apparatus includes a camera interface, a terminal interface, a communication interface, and a processor. The processor is configured to recognize actions of a settler at a point-of-sale terminal based on images from a camera, recognize input operations performed at the point-of-sale terminal by the settler based on information from the point-of-sale terminal and detect fraudulent acts based on a recognized action and a recognized input operation at the point-of-sale terminal. The processor outputs a fraud detection image corresponding to a detected fraudulent act to at least one of the point-of-sale terminal and an attendant terminal.

A signal processing device and a display apparatus for vehicles including the same are disclosed. The signal processing device includes a processor configured to perform signal processing for a display located in a vehicle, wherein the processor is configured to execute first to third virtual machines on a hypervisor in the processor, the second virtual machine is operated for a first display, the third virtual machine is operated for a second display, and the first virtual machine in the processor is configured to execute a camera interface to receive camera data from an external camera device and a camera manager to register a request for transmission of camera data from the second virtual machine or the third virtual machine and to transmit the camera data to the second virtual machine or the third virtual machine based on registered request. Consequently, data received from the outside may be efficiently shared.

The invention relates to the field of welding image acquisition equipment, and discloses a welding camera refitting suite and a welding camera, the welding camera refitting suite comprises a camera interface piece, a mounting assembly, a lighting unit and a filter unit, the camera interface piece is provided with a camera connecting structure capable of being connected with a lens interface of an industrial camera, and the camera connecting structure is provided with a lens. The lens connecting structure can be connected with an imaging lens of the industrial camera, one end of the unit installation assembly is fixedly connected with the camera interface piece, the lighting unit is installed in the unit installation assembly and located at the position corresponding to the peripheral area of the lens connecting structure, and the filter unit is arranged at the other end of the unit installation assembly and located at the position corresponding to the peripheral area of the lens connecting structure. The illumination unit can emit narrow-band illumination light rays, the filter unit comprises a band-pass optical filter through which the illumination light rays can penetrate, an industrial camera can be used for collecting images of a welding area, and the image collection quality of the welding area is guaranteed.

The utility model discloses an unmanned aerial vehicle control circuit board. A power supply circuit, an MCU control circuit, a sensor circuit and a peripheral interface circuit are integrated on the circuit board. The MCU control circuit comprises an MCU main chip circuit, a signal adjusting and filtering circuit, a voltage sampling circuit, a buzzer driving circuit, a signal phase inverting circuit, an indicating lamp circuit and a camera switching control circuit; the sensor circuit comprises a gyroscope module circuit, a FLASH storage circuit, a barometer module circuit and an OSD module circuit; the peripheral interface circuit comprises an electronic speed controller interface, a GPS interface, a buzzer and indicating lamp interface, a camera interface, a receiver interface, an image transmission interface and a USB interface. According to the utility model, abundant function module processing capability and expansion interfaces are designed, the expansion and flexible matching use of the function modules are facilitated, and the basic sensor is integrated on the circuit board, so that the stability of the connection between the sensor and the MCU control circuit is improved.

The utility model relates to the technical field of intelligent tablet computers, and discloses a multi-screen collaborative intelligent tablet computer mainboard connection circuit system. Comprising a graphics processor, a display interface module, a wireless communication module, a touch screen control module, a sound effect processing module, a camera interface module, a central processing unit and a power management module, wherein the graphics processor is used for accelerating graphics rendering, video decoding and multi-screen output; the wireless communication module is used for realizing wireless screen projection among equipment, cloud service synchronization and remote control; through the design of a graphics processor and a camera interface module, high-speed sampling is realized through a pixel clock, a signal is synchronized to output complete frame data, the graphics processor is used for processing original data in real time, and a processed video stream is synchronously shared to other tablet equipment in a wireless communication mode; a picture is synchronized to other tablet devices through the wireless communication module, remote control is achieved, picture parameters are directly influenced by touch operation on the expansion screen, and rendering of touch feedback is accelerated through the graphics processor.

The invention belongs to the technical field of medical apparatus and instruments, and discloses a visual fishbone self-service taking-out device which comprises a self-service instrument, a grabbing structure is arranged on one side of the self-service instrument, a driving structure is arranged in the self-service instrument, and visual integrated equipment is fixedly connected to the top of the self-service instrument; the visual integrated device is provided with a cold light source interface, a camera interface and a video output interface. According to the fishbone taking-out device, through cooperation of the driving structure and the grabbing structure, automatic clamping is achieved, the manual operation difficulty is remarkably reduced, and the fishbone taking-out rate is increased. Due to the flexible bending characteristic of the corrugated hose, the corrugated hose can go deep into complex anatomical spaces such as the oral cavity, the pharyngeal cavity and the esophagus by 360 degrees. Through the synergistic effect of a linkage rope, a connecting block, a connecting rope and a torsion spring, opening and closing of a clamping rod can be accurately controlled; the linkage rope is limited and guided by the first limiting block, so that the transmission stability is ensured, stable clamping of the fishbone is realized in cooperation with subsequent parts, damage to mucous membranes is reduced, family first aid and clinical application are easier, and actual application and operation are facilitated.

According to one embodiment, an image processing apparatus includes a camera interface for connecting to a camera, a communication interface for connecting to an external device, and a processing unit. The processing unit is configured to acquire an image from the camera via the camera interface, identify at least two different types of key points of an object depicted in the image, calculate evaluation values of respective combinations in which the different types of key points are connected to one another, and then select at least two patterns of combinations with other key points in descending order of the evaluation values for each of the key points. The processing unit recognizes the object depicted in the image by connecting combinations of at least two patterns selected for each of the key points with other key points.

The application discloses an optimization method and system for de-interlacing of an analog camera interface. The method comprises the following steps: obtaining original image data of an analog camera and frame information data corresponding to the original image data; performing de-interlacing operation processing on the original image data according to the frame information data to obtain image data processed by de-interlacing operation; reading the image data processed by de-interlacing operation and performing display processing to obtain displayed image data. The embodiment of the application can determine the category information of the current frame of the original image data before performing the de-interlacing operation processing, thereby improving the picture quality of the displayed video image. The application can be widely applied in the technical field of video image processing.

1. Name of the Design Product: Graphical User Interface for Cross-Device Camera Scheduling Operation of Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photo Best Illustrating the Design Key Points: Design 1, Variant State Diagram 2. 5. Design 1 is designated as the basic design. 6. Use of the Graphical User Interface: For a function of connecting a target intelligent device with another intelligent device to remotely control and use the camera and photo gallery of the target device, and transmitting the information collected by the camera of the target device through the network to another device to display a video picture, that is, to implement the "camera scheduling" function. 7. Human-Computer Interaction Method of the Graphical User Interface: The main view of Design 1 is an operation interface for using the "camera call" function on an intelligent device ("Device A") to connect to another intelligent device with a camera ("Device B"). After entering the IP address of Device B and clicking the connect button to connect to Device B, a camera interface can be entered. As shown in Design 1, Variant State Diagram 1, clicking the start button in the lower right corner of this interface can switch to the interface of Design 1, Variant State Diagram 2, that is, the "shooting preview" mode (at this time, the camera function of Device B has been enabled). After clicking the "take a photo" icon button at the bottom of this interface, a photo-taking command can be sent to Device B, and corresponding text information will be displayed on the interface. As shown in Design 1, Variant State Diagram 3, after taking a photo, the information captured by Device B can be transmitted back to Device A; The main view of Design 2 is an operation interface for using the "camera call" function on an intelligent device ("Device A") to connect to another intelligent device with a camera ("Device B"). After entering the IP address of Device B and clicking the connect button to connect to Device B, a camera interface can be entered. As shown in Design 2, Variant State Diagram 1, clicking the "take a photo" icon button on this interface will not cause Device B to take a photo, but a reminder message of "confirm whether it is in the preview mode" will be displayed on the interface, as shown in Design 2, Variant State Diagram 2. 8. Other Situations Requiring Explanation: Other views are omitted. The parts covered by the dark gray areas in the views represent the photo-taking preview screen, etc., which do not belong to the content of the claimed design itself.