9522 results about "Camera module" patented technology

A multi-modal articulation system translates human gestures into control commands for digital and automation devices. The system integrates a camera module, which captures facial and hand movements, with an image processing unit that extracts facial features, such as eyebrow movement, lip curvature, eyelid motion, and eye trajectory. These extracted features are analyzed in real time by an articulation recognition module that compares them against a database to recognize specific gestures. The system tracks and processes air-drawn hand gestures using a gesture trajectory tracking unit, which converts the motions into digital representations and classifies them using deep learning algorithms. The recognized gestures are converted into machine-readable control signals and executed on various connected devices via a relay control unit. The system incorporates adaptive algorithms to improve accuracy, account for environmental conditions, and stabilize hand tremors, providing a gesture-based control interface for applications ranging from smart home systems to multimedia devices.

The invention provides a comprehensive and intelligent mariculture net cage management and control system. The system integrates a multi-parameter sensor module, an underwater robot module, an underwater camera module, a central control module, a data storage and analysis module, an early warning module, a remote communication module and an automatic execution module. By monitoring multiple environmental parameters such as water temperature, salinity, dissolved oxygen and the like in real time and utilizing the underwater robot and the underwater camera to carry out autonomous inspection and fish behavior observation, the system can accurately master the culture environment condition. The AI algorithm and the intelligent model are combined, the system dynamically adjusts the bait casting amount, the oxygenation frequency and the net cage position, and the breeding benefits are effectively improved. Meanwhile, the early warning module carries out graded early warning on risk events such as typhoon and diseases, and the breeding safety is ensured. The remote communication and visual human-computer interface further enhances the remote monitoring and management capability of the system.

Video inspection systems are disclosed. In one embodiment a video camera for use in a pipe inspection system includes a camera head including an outer housing, a camera module assembly including video and non-video sensors, a processing circuit, and a data link receiver.

The invention discloses a lens driving device and a camera module. The lens driving device comprises: a base; the frame is movably arranged on the base; the carrier is used for carrying the optical lens, and the carrier is movably arranged on the frame; the lens driving assembly is configured to drive the carrier to move relative to the base along a first direction and a second direction perpendicular to the first direction; the focusing position sensing assembly comprises a focusing position sensing element and a focusing position sensing magnet which are oppositely arranged along the first direction; the anti-shake supporting part is arranged between the frame and the base in the second direction, the anti-shake supporting part is suitable for supporting the frame on the base, the anti-shake supporting part comprises at least three anti-shake balls, and seen in the first direction, one anti-shake ball and the focusing position sensing magnet are at least partially overlapped. In this way, the performance of the lens driving device is optimized.

The invention relates to a motion trail planning system and method for interventional puncture surgery, and the system comprises a camera module which is used for collecting the motion trail of an instrument in an external environment and generating a first image; the image equipment is used for acquiring the movement track of the instrument in the internal environment and generating a second image; the preprocessing module is used for generating an external three-dimensional coordinate and an internal three-dimensional coordinate based on the first image and the second image, and forming a data pair of the movement track of the instrument based on the external three-dimensional coordinate and the internal three-dimensional coordinate; the control module comprises a machine learning unit and a trajectory planning unit; the machine learning unit is used for training a deep learning model based on the data of the instrument movement track and generating a prediction path based on the trained deep learning model; and the trajectory planning unit is used for optimizing and adjusting the predicted path. According to the method, the movement track of the interventional puncture operation of the specific target part can be accurately predicted and planned.

The invention discloses a nondestructive testing device for a steel profile and a testing method of the nondestructive testing device. According to the method disclosed by the invention, the ultrasonic technology is combined with optical imaging, so that synchronous detection of surface and internal defects can be completed at one time. Ultrasonic waves penetrate through the interior of the steel profile, and hidden defects such as cracks and air holes are accurately recognized; the optical camera module captures visible problems such as surface scratches and corrosion in real time. The integrated detection mode avoids the tedious process of step-by-step operation required by a traditional method, for example, magnetic powder detection of surface defects and ultrasonic scanning of an internal structure are not needed, the detection period is greatly shortened, and the method is especially suitable for steel structure buildings, bridge engineering and other scenes with high requirements for detection efficiency and has good application prospects. The full-process automatic design effectively reduces the influence of human intervention, and ensures the scanning continuity of the detection area; the intelligent algorithm automatically analyzes the ultrasonic echo signal and the optical image data, and judges the defect level according to the preset standard, thereby avoiding subjective misjudgment of manual visual inspection.

The invention discloses a lens driving device and a camera module. The lens driving device comprises: a base; a frame, wherein the frame is movably arranged on the base; the carrier is used for bearing an optical lens, and the carrier is movably arranged on the frame; the lens driving assembly is configured to drive the carrier to move relative to the base along a first direction and a second direction perpendicular to the first direction, and the lens driving assembly comprises a driving magnet part and a driving coil part arranged opposite to the driving magnet part; and a focusing position sensing assembly, and the focusing position sensing assembly and the driving magnet part are arranged at different sides of the lens driving device. In this way, the performance of the lens driving device is optimized.

The invention discloses a printer nozzle real-time vertical calibration method and device based on the visual technology and a storage medium, and relates to the technical field of printers, a camera module collects a calibration plate image, establishes a coordinate mapping relation, prints a calibration pattern and identifies a pixel position, and dynamically adjusts nozzle parameters after converting the calibration pattern into a physical offset. According to the method, automatic high-precision calibration is achieved, meanwhile, the laser displacement sensor and the fuzzy PID controller are combined, the calibration precision and stability are improved, environment compensation, vibration suppression and multi-camera cooperation strategies are introduced, the calibration reliability is ensured, the method is slightly influenced by human factors, the calibration precision and efficiency are improved, errors are reduced, and the printing quality is improved.

The invention relates to the technical field of optical lenses, provides an optical lens, a camera module and electronic equipment, and can solve the problem that the design difficulty of a focusing motor of a camera module in the related technology is relatively high. The optical lens comprises a front lens group and a rear lens group located on the image side of the front lens group. The front lens group comprises a first turning element and at least one positive lens located on the object side of the first turning element, the first turning element is provided with a first reflecting surface, the first reflecting surface is used for reflecting light beams penetrating through the at least one positive lens to the rear lens group, the rear lens group is a focusing lens group, and the focusing lens group is used for focusing the light beams penetrating through the at least one positive lens. The lens group can move relative to the front lens group along the optical axis of the rear lens group; the effective focal length fg0 of the front lens group and the effective focal length fA of the optical lens in a focusing long-shot state meet the following condition: fA / fg0lt; and 1.0. The method can be applied to electronic equipment such as a mobile phone.

The invention discloses an image recognition system for industrial part defect detection, and particularly relates to the field of part defect detection, which comprises a multi-axis controllable light source array module, a high-speed polarization camera module, an edge computing node module, a double-branch semantic segmentation network module and a physical constraint post-processing module, according to the invention, through combination of time-sharing stroboscopic illumination and polarization image sequence acquisition, multi-dimensional perception of surface topography and material differences is realized; generating an elevation map and a normal map by using photometric stereo solution, constructing a differential rendering layer reverse matching CAD model, and extracting flash sensitive features; a double-branch U-Net network is adopted to fuse geometric and polarization characteristics, the characterization capability is enhanced through a trans-attention mechanism, and a pixel-level mask is output; and finally, mapping a two-dimensional result to a three-dimensional coordinate system by means of calibration parameters, carrying out geometric verification in combination with a tolerance zone and a height threshold value, and automatically generating a structured defect report containing position, size, grade and visual information.

The invention discloses a blind area monitoring and lane changing auxiliary intelligent safety detection system. The system comprises a data acquisition subsystem, a risk calculation subsystem and a lane changing early warning subsystem. The data acquisition subsystem acquires speeds and collision distances of parallel vehicles in dead zones right behind and on two sides of a vehicle through millimeter-wave radars, the camera module acquires front image information, the data preprocessing module fuses multi-source data, and the environment sensing module adjusts a collision threshold according to illumination, rainfall and the like. And the risk calculation subsystem calculates a collision risk value by using a dynamic threat integral and a space threat potential field model, predicts a lane changing trajectory through an LSTM neural network and optimizes risk pre-judgment in combination with a driver intention. And the lane changing early warning subsystem triggers early warning in a grading manner through a multi-modal output unit based on the collision risk value and the lane changing conflict probability. According to the system, through multi-sensor fusion and an intelligent algorithm, blind area monitoring accuracy, environmental adaptability and driver response efficiency are improved, and lane changing safety is guaranteed.

The invention relates to the technical field of panoramic monitoring, and discloses an image splicing method and system for a low-computing-power camera module array, and the method comprises the steps: collecting a panoramic image of a target scene through an array formed by a plurality of camera modules, configuring an initial priority weight in combination with a key marking instruction of a monitoring user, and carrying out the image splicing through the initial priority weight. A camera module is divided into a key module and a non-key module, timing dynamic detection is performed on the non-key module, real-time dynamic detection is performed on the key module, the weight is updated when a dynamic block is found, trajectory tracking is performed on the dynamic block by adopting a Kalman filtering algorithm, and the motion trajectory of the dynamic block is predicted. According to the scheme, the monitoring resource distribution of the camera module can be dynamically optimized, the response speed of a key area is improved, the real-time performance and accuracy of image splicing are improved, the monitoring efficiency and precision are effectively improved, and the method and the device have the advantages of being high in practicability and easy to popularize. The problem that in the prior art, a low-computing-power camera module array is difficult to achieve efficient and accurate image splicing is solved.

A system is disclosed. The system has an ultra-low latency data and video streaming module, comprising computer-executable code stored in non-volatile memory, a processor, a control center device, and a plurality of vehicle, robot or drone units that operate remotely from the control center device, each of the plurality of units including a control device. The control module, the processor, the control center device, and the control devices are configured to video stream using one or more camera modules disposed at each of the plurality of units, transfer the video streams from the control devices to the control center device.

The application relates to the technical field of optical lenses, and provides an optical lens, a camera module and electronic equipment, which can solve the problem that the camera module occupies a large space and causes the thickness of the electronic equipment to be large in related technologies. The optical lens comprises a front lens group, a first turning element, a first rear lens group and a second rear lens group; the front lens group comprises a first front lens group and a second front lens group; when the first turning element is located at a first position, the first turning element is located on the image side of the first front lens group and is used for reflecting the outgoing light beam of the first front lens group to the first rear lens group, and the optical lens has a first effective focal length; when the first turning element is located at a second position, the first turning element is located on the image side of the second front lens group and is used for reflecting the outgoing light beam of the second front lens group to the first rear lens group, and the optical lens has a second effective focal length F2, and the second effective focal length is greater than the first effective focal length F1. The application can be used on electronic equipment such as mobile phones.

A method, a system and electronic equipment for gauge detection of a rail vehicle based on three-dimensional point cloud data are provided. The method for the gauge detection includes following steps: building a gauge detection gate; calibrating multiple laser camera modules and recording calibration parameters; performing a full section scan on an outer contour of the rail vehicle to be detected, generating a three-dimensional point cloud map of the rail vehicle, and drawing body contour data; comparing the body contour data of the current rail vehicle with built-in standard gauge contour data to judge whether the current rail vehicle is out-of-gauge; and outputting comparison results.

The utility model provides a low-distortion vehicle-mounted optical imaging system and a camera module applying the same, which mainly comprise seven lenses, the first lens has focal power, the second lens has focal power, the object side surface of the second lens is a convex surface, the third lens has negative focal power, the object side surface of the third lens is a concave surface, the image side surface of the third lens is a concave surface, the fourth lens has positive focal power, and the fifth lens has negative focal power. The fifth lens has positive focal power, the object side face of the fifth lens is a convex face, the sixth lens has focal power, the seventh lens has negative focal power, through reasonable matching of the lens shapes and the focal power, the advantages of low distortion, high pixel and high resolution design are achieved, the temperature characteristic is excellent, and the image resolution ratio is high. The object identification capability of the optical system is further improved, and the design requirements of low distortion and high resolution of the optical system are effectively met.

The present application belongs to the technical field of camera modules. Disclosed are a reflection driving assembly, a magnet assembling method therefor, a reflection module and a camera module. The reflection driving assembly comprises: a reflection base; a carrier, which is rotatably arranged on the reflection base and is adapted to carry a reflection element, the reflection element being able to reflect light rays in a direction parallel to a first axis to a direction parallel to a second axis; a reflection driving part, which comprises a second rotating magnet and a second rotating coil that are arranged opposite to each other so as to drive the carrier to rotate about a third axis with respect to the reflection base, the third axis being perpendicular to the first axis and the second axis; and a rotation position sensing part, which comprises a first sensing magnet and a first rotation sensing element that are adapted to measure the angle of rotation of the carrier about the third axis, the first sensing magnet and the second rotating magnet being arranged opposite to each other in a direction perpendicular to the third axis, and the first rotation sensing element being adapted to simultaneously sense magnetic fields of the first sensing magnet and the second rotating magnet. The present application can accurately sense the position of rotation of the carrier about the third axis, so as to implement closed-loop control.

The invention provides a motor, a camera module and electronic equipment. The motor comprises a base, an anti-shake support, a first anti-shake magnetic part, a second anti-shake magnetic part, a first anti-shake coil, a second anti-shake coil, a compensation coil and a compensation magnetic part, the first anti-shake coil faces the first anti-shake magnetic part and is used for driving the anti-shake support to move in the first direction, and the second anti-shake coil faces the second anti-shake magnetic part and is used for driving the anti-shake support to move in the second direction. The motor is used for driving the anti-shake support to move in the second direction; the compensation coil faces the compensation magnetic piece; the first anti-shake magnetic piece is provided with a first axis which passes through the center of the first anti-shake magnetic piece; the second anti-shake magnetic piece is further provided with a second axis which passes through the center of the second anti-shake magnetic piece. The center of the compensation magnetic piece is staggered with the first axis and the second axis. According to the motor, the compensation magnetic part is arranged, so that the compensation magnetic part can provide acting force for the anti-shake support in the movement process of the anti-shake support, the anti-shake support is prevented from overturning, and the precision of the motor in the anti-shake process is improved.

A camera module according to an embodiment of the present invention comprises: a lens barrel which accommodates a lens; a sensor which receives light passed through the lens; a first substrate having the sensor arranged on a first surface thereof; a second substrate which is apart from the first substrate and has at least one light source device arranged thereon; a first body which includes a lens barrel accommodating portion including a first hole in which the lens barrel is accommodated, and a second hole formed in the light-emitting direction of the light source device; and a second body coupled to the first body, wherein the first substrate and the second substrate are arranged in the inner space formed by the first body and the second body, and the sensor includes a ToF sensor.

The utility model relates to a two-axis prism motor rotating mechanism and a periscopic camera module thereof. The two-axis prism motor rotating mechanism comprises a prism module movably arranged in a base, the prism module comprises a prism; the prism is fixedly arranged on the first prism bracket; a second prism bracket is arranged below the first prism bracket; the first prism bracket drives the prism to rotate around a first shaft; the second prism bracket drives the first prism bracket to rotate around a second shaft; the first shaft is perpendicular to the second shaft; the second axis is parallel to the optical axis direction; the base is internally provided with a first driving assembly which is located on the side of the first prism support to drive the first prism support to rotate around a first shaft and a second driving assembly which is located below the second prism support to drive the second prism support to rotate around a second shaft. And a rotary guide mechanism is arranged between the second prism bracket and the base. According to the utility model, the rotation direction of the prism module is set on the first shaft and the second shaft by using the rotation guide mechanism and the rotation shaft, so that the optical imaging quality can be effectively improved.

The present application discloses a displacement sensing apparatus and displacement sensing method for a building structure, and a storage medium. The displacement sensing apparatus comprises: a fixing module comprising a fixing base and a fixing support, wherein the fixing base is configured to be coupled with a monitoring point for a structure under measurement to form a whole structure; and a projection module and a camera module, wherein the camera module is arranged in front of the projection module by means of the fixing support at an angle perpendicular to the field of view, and is configured to collect a laser image formed on the projection module by a laser emission module which is provided at a fixed point.

The invention discloses a dynamic environment adaptation and image enhancement method for a camera module. The method comprises the following steps: S1, acquiring environment sensing data; s2, inputting a Bayesian module, constructing a Gaussian process model, and generating image enhancement parameter distribution; s3, initializing an image enhancement module according to the parameter distribution; s4, iteratively optimizing the image enhancement parameters by using zebra optimization, performing enhancement processing on the original image, and generating candidate results; s5, performing image quality evaluation on the candidate result, and performing weighted fusion to generate a comprehensive score; s6, feeding back the comprehensive score to a Bayesian module, updating a Gaussian model, and improving the prediction accuracy; and S7, selecting the image with the highest score as the final output, and storing the environment data and the parameter samples into a database. According to the invention, real-time improvement and stable output of the image quality of the camera module in a complex environment are realized through dynamic adaptive parameter adjustment and image enhancement technologies.

The invention discloses an unmarked motion capture system integrating a pressure sensor array and a depth camera, which belongs to the field of computer vision and comprises a depth camera module, a plantar pressure sensor array module, a data summarization module, a joint point calibration module, a three-dimensional force prediction module and a posture simulation module. The system collects and summarizes positions of human body joint points and pressure distribution data of planta pedis, extracts foot feature points, calibrates the human body joint points to obtain kinematics data, predicts ground reaction force in combination with planta pedis pressure distribution, and uses the calibrated kinematics data and predicted three-dimensional ground reaction force data to predict the three-dimensional ground reaction force. And carrying out human kinematics and dynamics simulation. The system provided by the invention can accurately position the spatial position of the human body joint point, accurately collect the pressure distribution and the ground reaction force in the human body movement process, and improve the accuracy of kinematics and dynamics analysis of the human body.

The invention discloses a fan blade surface image acquisition system and acquisition method based on a galvanometer. The wide-angle camera is right opposite to a fan blade, the galvanometer control module is arranged right below the wide-angle camera, the high-magnification camera is arranged on the side of the galvanometer control module in the mode of facing the galvanometer control module, and the optical axis of the high-magnification camera is perpendicular to the optical axis of the wide-angle camera. The wide-angle camera and the high-magnification camera are respectively used for shooting a global surface image and a local surface image of the fan blade, and the wide-angle camera, the high-magnification camera and the galvanometer control module are electrically connected with the image processor. The variable-view camera module is constructed through the two cameras, synchronous acquisition of high-resolution image information of the surface of the fan blade under the large view is realized by combining the two-dimensional galvanometer, the problems of unclear imaging of the blade image, low acquisition efficiency and the like are solved, the health state monitoring and defect repairing of the blade in a wind power project are realized, and the method is suitable for popularization and application. The method has important theoretical significance and application value.

The invention discloses a multi-mode unmanned aerial vehicle system and method for detecting the thickness of a bridge concrete protection layer. The system comprises a multi-mode unmanned aerial vehicle platform, a contact type mechanical arm, an electromagnetic induction steel bar detection module, a wireless data transmission module, an area array laser radar module and a binocular camera module. The contact type mechanical arm is installed on the unmanned aerial vehicle platform and used for executing contact type nondestructive testing. The electromagnetic induction steel bar detection module is installed at the tail end of the contact type mechanical arm and used for making contact with the bridge surface and measuring the thickness of a steel bar protection layer. The wireless data transmission module is installed on the unmanned aerial vehicle platform and used for returning the video of the view angle of the unmanned aerial vehicle to the ground station operation platform in real time, and the ground station operation platform observes and controls the unmanned aerial vehicle according to the returned video; the area array laser radar module is installed below the contact type mechanical arm and used for carrying out pose estimation and obstacle avoidance during adsorption mode switching. The binocular camera module is arranged at the front end of the contact type mechanical arm and used for collecting images of a detected area and conducting unmanned aerial vehicle autonomous positioning.

The embodiment of the invention provides a multi-mode unmanned material checking method based on combination of RFID and machine vision, the method is applied to a mobile module and a camera module, an RFID read-write module is arranged on a mobile trolley, and the method comprises the following steps: in response to movement of the mobile module, the RFID read-write module scans a target material to obtain RFID identification data, and filters and de-duplicates the RFID identification data to obtain a target material; an RFID identification result is determined; dividing a shooting range of the camera module based on a scanning area of the RFID read-write module, and detecting a material box and a material surface sheet label in video image data when the video image data is shot; and identifying the material surface sheet label to obtain material data information, and matching the material data information with the RFID identification result to obtain a multi-modal material matching result.

The invention provides an optical lens, a camera module and an electronic device, the optical lens comprises a front lens group, a first reflection member (18) and a rear lens group which are sequentially arranged along a direction from an object side to an image side, and the first reflection member (18) is used for reflecting light from the front lens group to the rear lens group; the front lens group is a fixed lens group, and the first reflector (18) is rotatably arranged in the lens to realize optical anti-shake. While normal optical anti-shake is realized, the size of the optical lens in the Z-axis direction can be reduced, that is, the length of the optical lens can be reduced, and convenience is brought to the structural design in the electronic equipment.

The invention discloses an ultra-thin glass defect detection system and positioning method based on line scanning and phase deflection, and the system comprises a line scanning camera module, a distortionless phase deflection detection module, a high-magnification microscope module and a central processing unit. The line scanning camera module is used for collecting a 2D grayscale image of the ultrathin glass; the distortionless phase deflection technology detection module is used for collecting a surface height map of the ultra-thin glass; the high-magnification microscope module is used for carrying out depth positioning on the interlayer defect judged by the central processing unit; the central processing unit is used for receiving the 2D gray level image and the surface height map, executing an image registration and defect classification algorithm and sending a depth positioning control instruction to the high-magnification microscope module, a multi-module cooperative work detection system is constructed, the detection efficiency and the detection precision are both considered, and data support is provided for production process improvement.

The invention discloses a wafer front and back surface detection system and method, and the system comprises a first scanning system which comprises a first light source module and a first camera module, and a second scanning system which comprises a second light source module and a second camera module. Light spot positions formed on the front surface and the back surface of the wafer by the first light source module and the second light source module are mutually staggered along projection positions on the front surface or the back surface of the wafer, or the projection directions of illumination light emitted by the first light source module and illumination light emitted by the second light source module are different; the first camera module and the second camera module respectively collect front or back images of the wafer to obtain a scanning result, and the analysis module analyzes the scanning result to obtain a detection result. The illumination light spots on the front and back surfaces of the wafer are staggered or the projection directions of the illumination light are different, so that the problem of mutual interference of light beams generated in the synchronous detection process of the front and back surfaces of the wafer is avoided, and the accuracy of the detection result of the front and back surfaces of the wafer is improved.

The invention relates to the technical field of shooting robots, in particular to a shooting assisting robot which comprises a moving chassis module, a lifting adjusting module, an angle adjusting module, a shooting module, a storage module, a multi-mode interaction module and a cooperative control module. The storage module is arranged on the movement chassis module, the storage module comprises a storage box, a storage control mechanism, a door opening and closing mechanism and a placement box, the storage box is arranged on the movement chassis module, an opening is formed in the storage box, and the storage control mechanism is used for controlling the placement box to be stored in the storage box or stretch out of the opening; the door opening and closing mechanism is used for sealing the opening after the placement box is stored in the storage box; by arranging the storage module and the storage control mechanism, the storage box can be controlled to be stored in the storage box, all the shooting assemblies can be effectively protected and prevented from being damaged by the outside, the core problems that traditional equipment is complex in operation, poor in environmental adaptability, insufficient in safety and the like are solved, and the shooting efficiency and the creation freedom degree are remarkably improved.