65 results about "Image acquisition" patented technology

The invention discloses an apparatus and a method for determining high temperature wettability. The apparatus comprises a heater body, a heating portion, an extruding dripping portion, a sample supporting portion and an image acquisition and processing portion. The heater body is comprised of a stainless steel cavity, a furnace lid and a No. 3 fluorine rubber ring bolt connecting together. A shielding layer in the heating portion is arranged in the center of a furnace bottom in the heater body, and a heating member is placed at the center of the shielding layer. The extruding dripping portionis perpendicularly arranged on an upper end of the heater body, and a lower end of a thermocouple in the heating portion, a lower end of the extruding dripping portion and an upper end of a sample bench are placed in the heater body. A substrate is placed at top of the sample bench. Two sets of CCD digital cameras or CMOS high speed cameras in the image acquisition and processing portion and a light source are respectively placed at the front and rear and the left and right of the heater body, and are in a same horizontal line with a symmetric axis of a quartz glass observation window, a wallthrough hole on the shielding layer and a heating member through hole on the heating member. The invention also provides a method for determining high temperature wettability.

The invention relates to a three-dimensional pavement crack image generation system and method. The system includes an information acquisition subsystem, a data processing subsystem and the like, wherein the information acquisition subsystem includes an image acquisition module and a crack depth acquisition module; the image acquisition module includes a shooting control sub-module, a CCD line scan camera and a structured light projector; and the data processing subsystem includes an information storage module, an image registration module, a visible light image crack detection module, a structured light image space texture extraction module and an image fusion module. The method comprises the following steps: step S100, collecting sample crack information, and building a crack depth prediction model; step S200, collecting a target rack image, extracting crack features and space texture, and calculating the target crack depth. Compared with the prior art, the three-dimensional pavement crack image generation system and method provided by the invention are simpler and more feasible and high in accuracy, and have broad application prospects.

The invention discloses novel optical calibration equipment of a radio-frequency simulated target antenna array. The equipment is composed of a laser range-measurement system mounted on a rotary table, a video image acquisition system and a computer control and communication system, wherein the laser range-measurement system is used for measuring the distance between an antenna and the center of the rotary table; the video image acquisition system is used for obtaining an optical image of the antenna and converting the optical image into an electronic image; and the computer control and communication system is used for controlling the turning positioning of the rotary table, receiving the electronic image generated by the video image acquisition system and displaying the electronic image on a screen. Through adoption of the equipment provided by the invention, a mounting position and a spacing of a geometric center of each antenna surface meet design precision requirement, so that the difference in amplitude-phase characteristics among all paths of radiation signals of radiation interfaces of all antenna units is reduced and the fine adjustment of an electric characteristic becomes convenient so as to reach the consistency of electromechanical characteristics. Furthermore, through functions of voice communication and image transmission, workers can accurately obtain measured data and image information of the rotary table in time and the antenna can be conveniently and efficiently adjusted.

The invention discloses a parking space detection method based on depth learning, comprising the following steps: obtaining a target image of the parking space; setting a training set and a test set of the parking space target image; a tag being arranged for that target region of interest, and the coordinate and categories of the target region being marked; initializing neural network parameters;putting the training set and tag information into the neural network to participate in training; quantitative evaluation of training results. A parking space detection system based on depth learning comprises an image acquisition module, an initial setting module and a training control module. The invention effectively solves the shortcomings of traditional image method that the parking space environment is highly demanded, and has strong adaptability, and the characteristic points of the parking space can be perfectly detected and positioned even in extreme environment, which is convenient for automatic and accurate parking alignment of vehicles, has the advantages of good robustness, and improves the user experience at the same time. The method and system can be widely used in the fieldof parking space recognition.

The invention, which relates to the intelligent control field, discloses a target tracking method and electronic equipment, so that a technical problem that the tracking range is either small or large when a target is tracked by using a camera in the prior art can be solved. The method can be applied to electronic equipment equipped with a first image acquisition device and a second image acquisition device; and the collection viewing angle of the first image acquisition device is a first viewing angle and the collection viewing angle of the second image acquisition device is a second viewing angle different from the first viewing angle. The method comprises: when the electronic equipment tracks a target by the first image acquisition device, a tracking window size of the target is obtained; whether the tracking window size meets a preset condition is determined; and if so, the image acquisition device for target tracking is switched from the first image acquisition device to the second image acquisition device. Therefore, a technical effect of coordination between a tracking range and distortion can be realized, so that an improved tracking effect can be obtained.

The embodiment of the invention provides a method for performing safety detection on the vehicle bottom and a device thereof. The method comprises the steps that one or multiple sets of image acquisition equipment is arranged at one or multiple specified positions of the vehicle bottom, and a throttle brake lock is also arranged on the vehicle, wherein the vehicle throttle cannot brake when the throttle brake lock is in the locking state, and the vehicle is also provided with an engine, a vehicle central control system and a vehicle-mounted terminal. The method comprises the steps that when the vehicle engine is started and the throttle brake lock is in the locking state, vehicle bottom image data are acquired by one or multiple sets of image acquisition equipment are received; when the vehicle central control system is electrified, the panorama of the current vehicle bottom is generated by adopting the vehicle bottom image data; the panorama of the vehicle bottom is outputted to the vehicle-mounted terminal; when safety instruction information submitted by a user through interactive operation of the vehicle-mounted terminal is received, the locking state of the throttle brake lock is unlocked; and the vehicle throttle can brake when the locking state of the throttle brake lock is unlocked. Safety hidden trouble before driving of the vehicle is reduced by the method for performing safety detection on the vehicle bottom and the device thereof.

The invention discloses a transformer substation safety protection system and relates to the transformer substation technology field. The system comprises a fence mesh, a first protection door, a second protection door and a monitoring host. The fence mesh comprises an infrared fence and a high-voltage pulse power grid. The infrared fence comprises an infrared correlation device. The infrared correlation device is arranged in a gap between leads of the high-voltage pulse power grid. Each protection door is provided with a fingerprint identification module, an electromagnetic lock and an image acquisition module. The fingerprint identification module and the image acquisition module are connected to a signal input terminal of the monitoring host. The monitoring host is used for controlling motion of the electromagnetic lock according to fingerprint information collected by the fingerprint identification module and human face information collected by the image acquisition module. The system possesses characteristics that safety and stability are high and a protection effect is good.

The invention discloses an embedded flotation froth image monitoring device based on a digital signal processor (DSP). The device is composed of an image acquisition device, an image processing core board module and a communication interface board module, the image acquisition device, the image processing core board module and the communication interface board module are integrated in a protective cover, and an image processing core board and a communication interface board are respectively realized through an independent board card and are connected through a bus slot. The calculation acquisition device is composed of a high resolution industrial video camera, a high frequency light source and double protective covers with a protection level of ingress protection (IP) 65. The calculation processing core board is mainly composed of a processor, and is used for real-time processing and analysis of images. The communication interface base board is used for transmitting the images to a video chip from the video camera, and being communicated with outside display equipment and an upper computer. The embedded flotation froth image monitoring device based on the DSP is used in the fields of monitoring, real-time processing and optimal control of mineral froth flotation processes.

The invention relates to an off-axis optical path three-dimensional microscopic topography measurement system. The system comprises an imaging object lens, an interference device and an image acquisition device. The interference device comprises a laser light source, a beam splitter prism, a first reflector, a second reflector, a fine adjustment reflector and a reference object lens. A laser lightbeam irradiates on the beam splitter prism via the first reflector and then outputs two light beams, the first light beam irradiates on a sample through an imaging object lens, and a reflected lightarrives at the image acquisition device via the imaging object lens and the beam splitter prism; the second light beam irradiates on the fine adjustment reflector via the second reflector and the reference object lens, the reflected light irradiates on the image acquisition device via the reference object lens, the second reflector and the beam splitter prism and forms a reference light, an off-axis angle of 1.52-7.57 degrees is formed between an object light and the reference light, thus, off-axis interference is formed, and an interference hologram is obtained through recording of the imageacquisition device. By optical path design, the system provided by the invention overcomes the difficulty that the conventional pre-magnified microscopic optical path optical wave curvature is difficult to adjust. The whole system is compact in structure and has high anti-noise ability.

The invention provides a size measurement system. A computer controls a profile camera and a depth camera to acquire images according to received triggering signals, and image acquisition results and a pre-stored image model are matched and adjusted; measurement points are automatically identified in the image acquisition results according to received size requirements, and size measurement results are obtained in a calculated manner. The system can automatically, intelligently and rapidly measure sizes based on image processing and control of measurement processes of the computer and solves the problems of the prior art.

The invention provides a vehicle information processing method, device and equipment and a computer readable storage medium. The method comprises the following steps: collecting a pavement image collected by an image collection device; identifying road information in the road surface image; identifying target vehicles in the road information, and determining center point information correspondingto each target vehicle; according to the center point information and a safe driving area, whether the target vehicle drives safely or not is judged, a judgment result is obtained, and the safe driving area is determined according to the center line of the road information and a preset range threshold value. Therefore, traffic factors such as road marker lines and traffic signal lamps in other roads do not need to be adopted for auxiliary calculation, the method can be suitable for traffic scenes of various roads, the recognition operation of whether the vehicle runs safely or not in the traffic scene of a single road is effectively limited, and the traffic safety of the traffic scene of the single road is guaranteed.

The invention provides a key block dynamic search system and method based on an image recognition technology, and relates to the technical field of geotechnical engineering informatization. The systemcomprises an image acquisition system, a computer operation system, a remote control system and a wireless transmission system. The image acquisition system comprises an image acquisition device, a laser range finder, an auxiliary lighting device and a marker post, wherein the laser range finder is installed on the image acquisition device; And the auxiliary lighting device and the marker post are placed at positions closer to the tunnel face. The computer operating system comprises an image processing module, a block searching module and a key block instability dynamic simulation module, andis used for processing the acquired image and then searching a movable block; The remote control system comprises a data storage module and an abnormal data processing module and is used for storingdata and feeding back information. The wireless transmission system is used for connection between the systems. The device is simple and convenient to use, high in working efficiency and high in practicability.

The invention relates to a cross-mirror pedestrian trajectory tracking method and system, an electronic device and a storage medium. An image collection device captures a portrait image, and forms first-level structural information according to the portrait image, a timestamp and the position information of the image collection device; a site server obtains the first-level structured information of the multiple image acquisition devices in the site range, obtains the portrait recognition confidence coefficient of the target pedestrian according to the first-level structured information, judges whether the portrait recognition confidence coefficient is larger than a face absolute confidence threshold value or not, and if the judgment result is yes, stores the first-level structured information in a target ID corresponding to the target pedestrian, and obtains second-level structured information from multiple pieces of first-level structured information of the target ID; and a cloud server obtains the second-level structured information of the plurality of site servers, and integrates the plurality of pieces of second-level structured information according to the timestamps and the position information of the image acquisition device to obtain the pedestrian real-time trajectory corresponding to the target ID, thereby improving the precision and real-time performance of pedestrian trajectory tracking.

The invention relates to a dynamic configuration method of machine vision software and a computer. The machine vision software comprises an image acquisition module, at least two image processing modules for achieving a certain image processing function, different image processing modules for realizing different image processing functions, and at least one data output module for outputting data obtained by processing image information through the image processing modules, and a plurality of directed connection units. The image acquisition module, the image processing module and the data outputmodule have an input interface and an output interface with the same preset standard; the image acquisition module, the image processing module and the data output module are dynamically configured according to image processing requirements, and the configured modules are sequentially connected through the directed connection units to form a directed graph capable of meeting the image processingrequirements. The directed acyclic graph data flow method is applied to the machine vision software, so that the expansibility of a software framework is improved, and the flexibility, stability and real-time performance required by a software user can be met.

The invention provides an automatic fat extraction device which comprises an image acquisition unit, a processing unit, a driving unit, a negative pressure unit and a fat extraction unit. The image acquisition unit is used for acquiring an image of a fat extraction position of a fat extraction object, the processing unit is connected to an output end of the image acquisition unit and used for receiving the image acquired by the image acquisition unit and generating processing signals, the driving unit is connected to an output end of the processing unit and used for generating driving signalsaccording to processing signals of the processing unit, the negative pressure unit is connected to the output end of the processing unit and used for generating negative pressure according to the processing signals of the processing unit, and the fat extraction unit is connected to output ends of the driving unit and the negative pressure unit and used for extracting fat of the position to be subjected to fat extraction according to driving signals and the negative pressure. The whole process is an automatic control process, manual operation of a doctor is omitted, the workload of the doctor is reduced, and fat extraction efficiency is greatly improved.

The embodiment of the invention provides an entrance guard system control method and device as well as electronic equipment. An entrance guard system comprises multiple cameras. The method comprises the following steps that image acquisition is performed on a user through the multiple cameras so as to obtain multiple pieces of image information; face image information in the multiple pieces of image information is extracted correspondingly; whether the extracted multiple pieces of face image information is face image information where faces face an entrance guard entrance of the entrance guardsystem or not is judged correspondingly; whether the multiple pieces of face image information is matched with preset authorized face image information or not is judged correspondingly; and if all the multiple pieces of face image information is the face image information wherein the faces face an entrance guard, and all the multiple pieces of face image information is matched with the authorizedface image information, a door opening instruction is sent so as to enable the entrance guard system to execute the door opening operation. According to the entrance guard system control method and device as well as the electronic equipment, the problem of mistakenly opening the entrance guard is solved, and the safety of the entrance guard system is improved.

The invention discloses a multi-sensor self-advancing universal intelligent chassis. The multi-sensor self-advancing universal intelligent chassis comprises a chassis body, a sensing device, a plurality of fixing parts, a processing host and a positioning device, wherein the sensing device comprises infrared sensors, ultrasonic sensors and an image acquisition device, the infrared sensors and the ultrasonic sensors are arranged at the peripheral side edges of the chassis body, the image acquisition device is connected with the chassis body through a connecting portion, the connecting portion comprises a first mechanical arm and a second mechanical arm which are connected with each other, the first mechanical arm is connected with the side edge of the chassis body horizontally, the image acquisition device is arranged at the free end of the telescopic second mechanical arm, and the fixing parts are all positioned on the upper surface of the chassis body. The multi-sensor self-advancing universal intelligent chassis is reasonable in structure, useable independently, capable of detecting and recording unknown environment conditions and high in intelligent level without manual operation of the chassis body, and is also applicable to loading various transport articles.