80 results about "Image intensification" patented technology

The invention discloses an unmanned aerial vehicle photovoltaic inspection defect identification method based on a multi-mode large model and a real-time detection system, and the method comprises the following steps: data collection: an unmanned aerial vehicle collects a visible light image, an infrared thermogram and three-dimensional point cloud data of each photovoltaic panel along a flight path, and collects environmental condition parameters at the same time; data preprocessing: carrying out image enhancement on the acquired image data of each photovoltaic panel by using a Stable Diffusion model; segmentation and positioning: fine segmentation and positioning of a defect area are realized on the preprocessed data of each photovoltaic panel by using an SAM model; feature extraction: extracting comprehensive features of the segmented and positioned image in combination with text description through a trained CLIP model by using a CLIP model; and classification and identification: matching the comprehensive features by using a trained CLIP model, and outputting and judging the defect type and severity according to a matching result, so that the identification precision is high, and the misjudgment rate is low.

A method and system for determining concentricity of a multiple layer golf ball are disclosed herein. One or more images of a golf ball are generated using an X-ray source, a camera or a digital detector, and an image intensifier. An edge detection algorithm is preferably utilized. The method also includes calculating Y,Z center coordinates of the a best fit diameter or ellipse of the inner edge layer and outer edge layer of the multiple layer golf ball.

We present a ground-based laser system for searching, ranging, and tracking that actively illuminates small resident space objects (RSOs) in low Earth orbit (LEO) and observes position and transit-time of reflections, enabling orbital custody of most one-to-few centimeter-sized objects. A diode-pumped alkali laser (DPAL) augmented with mode-locking and Q-switching serves as an illuminator and offers exceptionally high spectral brightness due to its output beam's sub-nanosecond pulse duration and picometer-level spectral linewidth. Kilohertz fast-rastering enables interrogations of distinct few-meter-sized sky-patches at megahertz rates. Paired on the observation side with one or more telescopes outfitted with Faraday anomalous dispersion optical filters (FADOFs), image intensifiers, multi-pixel arrays, and nanosecond timing, the combined system could offer nearly background-free discoveries of RSOs every hour, even during daytime. Periodically re-flashing previously discovered objects to maintain orbit custody expends only a small fraction of total observing time.

The invention provides a noise modeling and denoising method for a low-light-level image intensifier. The noise modeling and denoising method comprises the following steps: step 1, establishing an imaging noise model for the low-light-level image intensifier; step 2, collecting output data of the low-light image intensifier under different illumination conditions, calibrating parameters of an imaging noise model, and superposing the calibrated imaging noise model on a noise-free image sample to construct a training data set conforming to actual imaging characteristics; step 3, designing an image denoising network based on the convolutional neural network, the input of the network being a noise-containing image, and the output being a noise-suppressed clean image; and step 4, training and optimizing the convolutional neural network based on the training data set, and verifying synthetic data and real data. According to the method, the adaptive capacity and generalization performance of the neural network to complex noise can be effectively enhanced, and finally, more accurate and stable image enhancement and denoising effects can be realized in a low-light imaging scene.

The invention discloses a single molecule microscopic imaging industrial camera imaging system and imaging method. The system comprises an inverted fluorescence microscope, a laser light source, a coupler, a light source adjusting device, an optical filter, an objective lens, a CMOS camera, a microcomputer processing system and an image enhancement device. The inverted fluorescence microscope is used for laser scanning confocal microscopic imaging or single molecule PALM microscopic imaging; the laser light source is used for providing incident light for the camera system; the coupler is used for obtaining high-power excitation and activation laser to enter the microscope system; the light source adjusting device is used for switching light sources; the optical filter is used for collecting the maximum fluorescence signal and blocking the exciting light at the same time; the objective lens is used for total internal reflection of light beams on the sample surface; the CMOS camera is used for photographing to obtain an image; the image intensifier is used for intensifying the image. And the microcomputer processing system carries out picture synthesis and result output through a preset correction algorithm. According to the invention, the living cell single-molecule trajectory detection efficiency can be improved.

Image intensifier systems incorporating a microchannel plate (MCP) and methods for producing the same are disclosed. A device is disclosed that includes a first substrate having a radiation-receiving first surface and an opposed second surface through which electromagnetic radiation is transmitted. A second substrate is coupled to the first substrate to define a vacuum cavity therebetween having electron-emitting photocathode is disposed therein. A microchannel plate (MCP) is disposed within the vacuum cavity and defines microchannels extending from an input end to an output end. Each of the microchannels is configured to generate / amplify electrons in response to the electrons received photocathode. The imaging array can include a plurality of metal plates connected to capacitors and configured to collect electrons from the MCP to produce a digital image responsive to electromagnetic radiation received at the first substrate and converted to electrons by the photocathode and multiplied by the MCP.

An apparatus, system and method is provided for producing stacked wafers containing an array of image intensifiers that can be evacuated on a wafer scale. The wafer scale fabrication techniques, including bonding, evacuation, and compression sealing concurrently forms a plurality of EBCMOS imager anodes with design elements that enable high voltage operation with optional enhancement of additional gain via TMSE amplification. The TMSE amplification is preferably one or more multiplication semiconductor wafers of an array of EBD die placed between a photocathode within a photocathode wafer and an imager anode that is preferably an EBCMOS imager anode bonded to or integrated within an interconnect die within an interconnect wafer.

A low-light night vision device includes a first monocular assembly. The first monocular assembly includes: a housing including a lens barrel and a front cover plate mounted to the lens barrel; a low-light objective lens group mounted on the front cover plate; an image intensifier bracket arranged at a rear end of the low-light objective lens group, and including a mounting barrel, an adjustment thread ring and an elastic member, the mounting barrel configured to allow an image intensifier to be mounted therein; an eyepiece group arranged at the rear end along the low-light optical axis. The adjustment thread ring is connected to the front cover plate and the mounting barrel, respectively, with threaded connections in opposite directions, so that the mounting barrel and the front cover plate move toward or away from each other along the low-light optical axis upon rotation of the adjustment thread ring.

The invention discloses a sludge state abnormity identification and detection method for sewage treatment, and relates to a biochemical sewage treatment method, which comprises the following steps of: shooting image data in a sludge settling process by using high-definition image acquisition equipment, and enhancing pretreatment operation by using a sludge settling image; a novel hybrid model is constructed, and the model combines an improved YOLOv11 model and a K-means clustering algorithm and is used for sludge state detection and anomaly recognition; and edge deployment and model output: deploying the optimized and trained hybrid model to edge computing equipment to realize real-time sludge state detection and output of an anomaly recognition result, and judging whether an anomaly exists or not according to the output of the real-time sludge state detection and anomaly recognition result. According to the method provided by the invention, the sludge state and abnormal condition detection speed and accuracy are improved, the model parameter quantity is reduced, and the overall detection efficiency is improved. The technology shows a wide application prospect in the fields of environmental monitoring, sewage treatment and the like.

The invention relates to an unmanned aerial vehicle detection method, system and device based on YOLOv5 improvement and a storage medium, and relates to the field of unmanned aerial vehicle detection. The method is based on an ImageNet data set, and comprises the following steps: obtaining an unmanned aerial vehicle infrared image data set shot under a background containing a shielding object; preprocessing and marking the unmanned aerial vehicle infrared image data set to obtain an unmanned aerial vehicle infrared image enhancement data set, wherein the unmanned aerial vehicle infrared image enhancement data set comprises a training set; an unmanned aerial vehicle detection model based on YOLOv5 is constructed; training the unmanned aerial vehicle detection model by using a full convolution mask auto-encoder to obtain a pre-training model; according to the pre-training model and the training set, performing layer-by-layer greedy pre-training and fine tuning on the unmanned aerial vehicle detection model to obtain an unmanned aerial vehicle detection improved model; and detecting the unmanned aerial vehicle infrared image data set by using the unmanned aerial vehicle detection improved model to obtain a detection result. The technical effect of the invention is to improve the speed and accuracy of infrared image detection of the unmanned aerial vehicle.

The application provides a kind of steel band surface defect multispectral fusion high-speed detection device and detection method, belong to steel band surface defect detection technical field, including foundation and main support, the main support is door type structure, across the both sides of steel band production equipment, bottom is connected with foundation using embedded bolt.The application is irradiated to steel band surface by LED array light source respectively using white, ultraviolet light and red light source, and the image of steel band surface after being irradiated by different light sources is collected using CCD camera respectively, so that when image recognition is carried out, the image of white light source is identified according to the brightness of reflected light, the defect of different depth is identified, the image of ultraviolet light source is identified by shortening wavelength to break through diffraction limit, the resolution and contrast of surface defect detection are improved;The image of red light source enhances the color development effect of small scratch on metal surface;Through the image recognition of different light colors, the detection and recognition accuracy can be effectively improved, and the influence of sundries and reflection on detection result is reduced.

We present a ground-based laser system for searching, ranging, and tracking that actively illuminates small resident space objects (RSOs) in low Earth orbit (LEO) and observes position and transit-time of reflections, enabling orbital custody of most one-to-few centimeter-sized objects. A diode-pumped alkali laser (DPAL) augmented with mode-locking and Q-switching serves as an illuminator and offers exceptionally high spectral brightness due to its output beam's sub-nanosecond pulse duration and picometer-level spectral linewidth. Kilohertz fast-rastering enables interrogations of distinct few-meter-sized sky-patches at megahertz rates. Paired on the observation side with one or more telescopes outfitted with Faraday anomalous dispersion optical filters (FADOFs), image intensifiers, multi-pixel arrays, and nanosecond timing, the combined system could offer nearly background-free discoveries of RSOs every hour, even during daytime. Periodically re-flashing previously discovered objects to maintain orbit custody expends only a small fraction of total observing time.

A control circuit and method 200 may be provided for regulating a luminous gain of an image intensifier. The control circuit and method may perform automatic brightness control by regulating (240) a luminous gain of the image intensifier to maintain an output brightness at or below a desired maximum output brightness level. When a sudden increase in the scene brightness causes the output brightness to exceed the desired maximum output brightness level, the control circuit and method may deactivate (250) the photocathode and interrupt the automatic brightness control, reduce (260) the luminous gain of the image intensifier in accordance with a first gain reduction parameter and after reducing the luminous gain, reactivate (270) the photocathode and resume the automatic brightness control.

There is disclosed a gated power supply for a night vision system includes an input terminal to receive source power, and output terminal to electrically couple to a photocathode, a first voltage source to source a positive or neutral voltage to the photocathode, a second voltage source to source a large negative voltage to the photocathode, and a switching circuit to switch between the first voltage source and the second voltage source on a duty cycle, wherein the switching circuit comprises an optical switch.

An inventive imaging method includes: (a) causing a beam to travel from an emitter through an examination area for receipt at a detector; and (b) within the detector, (i) transforming the beam that is received into light, (ii) transforming the light into electrical signals representative of digital images corresponding to the examination area, including using a collector within the detector to collect the light as it passes to photosensitive areas of the collector without first passing through any wiring layer of the collector, and (iii) transmitting from the detector the data representative of digital images for display of the digital images to a user on a computing device. The detector includes wiring layers having stacked substrates attached together, each including one or more processing circuits for fast readout and dual native ISO. Other innovative imaging apparatus and methods include a stacked films-based image intensification and light recycling method.

A method and system for determining concentricity of a multiple layer golf ball are disclosed herein. One or more images of a golf ball are generated using an X-ray source, a camera or a digital detector, and an image intensifier. An edge detection algorithm is preferably utilized. The method also includes calculating Y,Z center coordinates of the a best fit diameter or ellipse of the inner edge layer and outer edge layer of the multiple layer golf ball.

A method and system for determining concentricity of a multiple layer golf ball are disclosed herein. One or more images of a golf ball are generated using an X-ray source, a camera or a digital detector, and an image intensifier. An edge detection algorithm is preferably utilized. The method also includes calculating Y,Z center coordinates of the a best fit diameter or ellipse of the inner edge layer and outer edge layer of the multiple layer golf ball.

A night vision device has an objective lens mounted on a housing, and arranged for receiving light from ambient into the housing. An image intensifier and an eyepiece lens are also mounted on the housing. An adjustable iris defining an iris opening is mounted on the housing on an end of the housing generally opposite to where the objective lens is mounted. A sensor for detecting light intensity is connected to the housing and located toward the second end of the housing. The sensor controls the size of an area of the iris opening in response to the light intensity detected for keeping the area of the iris small so as to maintain a depth of field of the night vision device.

The embodiment of the present invention discloses a model generation, image segmentation method, system, electronic device and storage medium. The model generation method may include: obtaining a sample image, an enhanced image and a segmentation label of the sample image, and using the sample image and the segmentation label, and the enhanced image and the segmentation label as a group of training samples respectively; training the original segmentation model based on multiple groups of training samples to obtain an image segmentation model; wherein the enhanced image includes a first enhanced image generated according to the sample image and the image template, and / or a second enhanced image generated according to the target feature map of the sample image and the target feature map template, the image template includes pixel points with a first value, the target feature map template includes pixel points with a second value, and the first value and the second value are less than the preset value. The technical solution of the embodiment of the present invention is to obtain an image segmentation model with strong robustness based on sample image training under a finite data distribution.

The utility model relates to the field of optical imaging and mechanical design, and discloses a single-lens light-incoming multi-Cmos imaging device, which comprises an optical focusing lens, an image intensifier is arranged at the bottom of the optical focusing lens, an installation assembly is arranged at the bottom of the image intensifier, the installation assembly is provided with a focusing lens and a CMOS base, and the focusing lens and the CMOS base are arranged on the optical focusing lens. The focusing lens is arranged at the bottom of the image intensifier, and the CMOS base is arranged at the bottom of the image intensifier. According to the utility model, through the sizes of imaging visual angles of a plurality of CMOS, the light inlet amount of the aperture, and the adoption of the CMOS of the same specification when a plurality of cameras are used for image acquisition, when image fusion is carried out, the image size and the data flow size can be unified, the fused image does not deviate, the difficulty of later software algorithm repair is reduced, the image quality is improved, and the image noise is reduced; meanwhile, the light incoming amount, the imaging focal length and the image size of the CMOS needing image fusion are unified, and image fusion can be more accurate.

An image intensifier assembly has an image intensifier tube having a optical element. The optical element includes a emitting surface. The optical element comprises an outer dimension. The image intensifier assembly further includes a first power supply comprising a first circuit board having a first inner dimension defining an opening, a first outer dimension and a first thickness. The first inner dimension surrounds the outer dimension of the optical element. The first outer dimension is within the image intensifier assembly. The first circuit board further includes a component surface. The component surface extends from the first inner dimension to the first outer dimension. The first circuit board has power supply components mounted on the component surface.

The invention discloses a gas type identification method. The method comprises the following steps: S10, carrying out denoising and image enhancement on a collected infrared image; s20, carrying out a gas absorption spectrum experiment; s30, constructing an absorption peak value database; s40, carrying out band selection and coding on the optical filter; and S50, performing gas type identification through nearest neighbor method matching. Aiming at the difficulty in spectrum peak value matching in gas type identification, a gas absorption spectrum experiment is designed, a special absorption peak value database is constructed, and a nearest neighbor method is introduced for automatic matching and identification of gas types.

The present application discloses a method for fabricating a fiber optic image inverter with an ultra-short twister. The method includes: drawing a glass rod with a low refractive index and a high strain point temperature into a surrounding pipe fiber; drawing a glass rod with a high refractive index and a high transmittance into a filling glass fiber, and then drawing into a casing pipe absorption fiber; uniformly surrounding an outer side of a cladding glass pipe with the surrounding pipe fiber, and matching a core glass rod and the cladding glass pipe to be drawn into a mono fiber; and then performing fabrication of a multi fiber, fabrication of a multi-multi fiber, heat press fusion and twisting operation in sequence. The fiber optic image inverter with an ultra-short twister with a high resolution and a high contrast and clear imaging is obtained and applied in a low-light-level image intensifier.

The utility model relates to the technical field of optical imaging, in particular to a series lens group optical coupling system for an image intensifier. Comprising a series lens group, and the series lens group comprises a first lens and a second lens which are sequentially arranged between a phosphorescent screen of an image intensifier and a CCD or CMOS camera in parallel from front to back; the first lens is a collimating lens and is used for converting light rays from an object into parallel light beams; and the second lens is an imaging lens and is used for focusing the parallel light beams on a camera photosensitive device to form a clear image. According to the series-connection lens group, through combination of the two lenses, effective focusing and imaging of light rays are achieved, and the series-connection lens group has a high aperture ratio, high light transmission efficiency and excellent optical resolution; compared with traditional optical fiber taper coupling, the series lens group reduces image artifacts and improves image quality. And meanwhile, maintenance and upgrading are facilitated, and a complex re-alignment process is not needed.

The present application provides a reflective telescope for enhancing images, relates to a technical field of telescopes, the reflective telescope comprises: a reflective secondary mirror, configured to bend an optical axis by 90 degrees; a concave reflective primary mirror, configured to reflect light onto the reflective secondary mirror; a processor, configured to receive data for processing and output processed images; a projection mechanism, configured to receive the images output by the processor and project the images onto the reflective secondary mirror; and an eyepiece, configured to observe an imaging of reflected light from the reflective secondary mirror. The present application can achieve image enhancement of telescopes, achieving a telescope effect of mixed-reality (MR) image augmentation, without generating additional incident light loss, and making the image observed through the telescopes clearer.

With the invention, the afterglow of a fluorophore can be visualized by observation with a rolling-shutter camera under pulsed illumination. Image sections captured during a dark phase contain only the light emitted by long-lived fluorophores. This enables the imaging acquisition of long-lived fluorescence using inexpensive, widely available CMOS cameras without moving parts and without image intensifiers and without synchronization of camera and pulsed illumination.

Vision system (300) for amplifying and segmenting an image (100) of an environmental scene, comprising the following: an image amplifier (305) which amplifies a segmented image of the surrounding scene incident on an input of the image amplifier and provides an amplified and segmented image of the surrounding scene to an observer at an output of the image amplifier; and an input-side optical module (301) comprising at least two optical imaging means (302, 303, 304) that generate the segmented image of the surrounding scene and map it to the input of the image intensifier, wherein a first optical imaging means of the at least two optical imaging means generates a first image segment (102) of the surrounding scene with a first image scale, and, wherein a second optical imaging means of the at least two optical imaging means generates a second image segment (101) of the surrounding scene with a second image scale.

The invention relates to a microchannel wafer (18) comprising a body (39) provided with a plurality of tubular microchannels (25) whose axes of revolution are parallel to each other; and a functionalization layer (33) present on an internal surface of each microchannel (25). According to the invention, the constituent material of the body (39) is pure silica. Figure for the abstract: Fig 5

A method and system for determining concentricity of a multiple layer golf ball are disclosed herein. One or more images of a golf ball are generated using an X-ray source, a camera or a digital detector, and an image intensifier. An edge detection algorithm is preferably utilized. The method also includes calculating Y,Z center coordinates of the a best fit diameter or ellipse of the inner edge layer and outer edge layer of the multiple layer golf ball.