12results about How to "Guaranteed detection speed" patented technology

The invention belongs to the field of electric power and the technical field of artificial intelligence, and particularly relates to an electric power field operation safety detection method and system based on a hybrid expert model. According to the method, the visual language model and the YOLO target detection model are combined, and efficient and accurate electric power field operation safety detection is realized under the condition of few samples through a hybrid expert model architecture. In the training stage, through multi-model cooperative training, an expert model set for different scenes and targets is constructed. In the detection stage, a two-stage detection mechanism is adopted, YOLO is firstly used for rapid preliminary detection, then VLM is used for rechecking a low-confidence target, and finally detection results are integrated to ensure the accuracy of detection. The method aims to effectively cope with complex environments and potential safety hazards in electric power field operation, safety detection efficiency and accuracy are remarkably improved, and compared with a single model architecture, the method shows wider application scenes and higher detection quality in an electric power field operation scene.

The present invention relates to the technical field of target detection methods, and in particular to a belt wear state detection method based on improved YOLOv8‑EfficientNet. The present invention uses the most advanced real-time monitoring algorithm YOLOv8 target detection algorithm as a basis, combines it with the improved EfficientNet convolutional neural network, and improves the combined network. The acquired conveyor belt wear picture is preprocessed, and the preprocessing technology uses the Retinex image enhancement algorithm to perform brightness enhancement, detail protection, color protection, naturalness restoration, image denoising, detail extraction, etc. on the image to improve the clarity of the belt wear picture. Finally, the improved algorithm is deployed to the conveyor real-time detection equipment to detect the conveyor belt, and the wear parts of the conveyor belt and the degree of wear of each part can be accurately obtained.

The invention discloses a variable-diameter steel pipe inner wall full-coverage automatic detection method, which comprises the following steps: adjusting each camera on a camera module to an initial site after a pipe climbing device enters a pipe, shooting the inner wall of a variable-diameter steel pipe by the camera module in the process that the pipe climbing device moves back and forth along the pipe, and adjusting each camera site of the camera module in the shooting process, and 360-degree shooting of the inner wall of the reducing steel pipe is completed. According to the invention, the detection requirements of different pipe diameters in the large-pipe-diameter steel pipe can be met, the detection precision and the detection speed can be ensured while the stability is ensured, and the 360-degree full-coverage full-automatic detection requirements of the inner wall of the pipe are met.

The application provides an image overlap rate detection method, device, equipment and computer storage medium. When calculating the overlap boundary position by the image overlap rate detection method, only the boundary sub-image and each reference sub-image in the reference image need to be compared and calculated, the number of pixel points involved in the calculation process is less than that of directly comparing and calculating the target image and the reference image, so the detection speed is faster. Moreover, since all the pixel points in the target image are not involved in the calculation process, the possibility of misidentification is reduced, so the detection accuracy of the image overlap rate is higher for images containing a large amount of repeated image information, such as warehouses. It can be seen that the image overlap rate detection method provided in the application can ensure the detection accuracy and speed of the image overlap rate at the same time.

This invention provides a device for detecting and grading cigarette mouthpiece capsules, comprising a frame with a horizontally mounted conveyor belt. Above the conveyor belt, from one end to the other, are sequentially arranged a cigarette mouthpiece feeding mechanism, a hyperspectral detection mechanism, a laser pointer, and a cigarette mouthpiece gripping mechanism. The feeding mechanism feeds cigarette mouthpieces at a constant speed to the beginning of the conveyor belt. The detection ports of the hyperspectral detection mechanism and the laser pointer face downwards. A photoelectric sensor and an incremental encoder, with their detection ports facing the cigarette mouthpieces on the conveyor belt, are also located on one side of the conveyor belt. Two horizontal tracks are positioned above the end of the conveyor belt, and the cigarette mouthpiece gripping mechanism controls the flow of cigarette mouthpieces onto the designated tracks. The device also includes a control unit mounted on the frame and electrically connected to other electrical components. This invention uses a hyperspectral detection mechanism to detect cigarette mouthpiece capsules, achieving non-destructive testing while maintaining high speed.

The utility model discloses a novel electrocardiograph detection probe, which relates to the technical field of detection probes and comprises six groups of electrocardiograph detection probes, one ends of the six groups of electrocardiograph detection probes are all fixedly connected with signal lines, the outer walls of the six signal lines are provided with a winding mechanism, one end of the winding mechanism is provided with a fixing mechanism, and the other end of the winding mechanism is provided with a clamping mechanism. The winding mechanism comprises a winding box and a rotating rod, a rotating handle is arranged at one end of the winding box, a round seat is fixedly installed at one end of the rotating handle, six sets of fixing plates are fixedly installed on the outer wall of the rotating rod, and U-shaped plates are fixedly installed at the upper ends and the lower ends of the six sets of fixing plates. According to the utility model, the operation of a worker is not hindered, the operation speed of the worker is not influenced, the detection speed can be ensured, meanwhile, the phenomenon of winding or knotting among the six signal lines 11 is prevented, and the normal transmission of signals is ensured.

The utility model discloses a wireless monitoring terminal and wireless ad hoc network device, hollow arrangement in wireless monitoring terminal, and wireless monitoring terminal includes pole body, pole head and pole tail, and pole head is equipped with temperature sensor, and pole head is along the circumference and is equipped with a plurality of air inlet, and pole tail is equipped with gas sensor and sensor adapter board, and temperature sensor and gas sensor all are connected with sensor adapter board electricity, and sensor adapter board electricity connects wireless terminal circuit board, and wireless terminal circuit board electricity is connected with power supply and drive motor for power supply, and drive motor output shaft fixed connection has the flow guide fan blade, and wireless terminal circuit board electricity is connected with the wireless module for receiving and dispatching data, and wireless module electricity is connected with wireless data transmission ware for transmitting data. The present application can realize the quick collection and real -time monitoring of the gas data in the designated depth area of coal heap.

The invention discloses an industrial product surface nondestructive testing method and system based on improved YOLOv8, and relates to the technical field of computer vision and image processing. In a YOLOv8 backbone network, standard 3 * 3 convolution is replaced by a space channel selective kernel convolution module, and the nondestructive testing of the surface of an industrial product is realized by performing space and channel reconstruction on features and dynamically adjusting a receptive field. Redundant features are suppressed, and the modeling capability for complex textures is enhanced; a coordinate-channel-space joint attention module is embedded in front of a detection head classification branch, and extraction and focusing of small defect features are enhanced through coordinate, channel and space attention mechanisms; structural upgrading is carried out on the feature fusion part of the network, the detection scale is expanded to a P2 layer, and the capacity of capturing tiny targets is improved. In addition, multi-scale feature fusion and non-maximum suppression and weighted frame fusion in a post-processing stage are combined, so that the positioning precision and the result stability of the detection frame are further improved.

The invention discloses a temperature switch accuracy detection system which is characterized in that a temperature control groove used for detecting a temperature switch is formed in the middle of the top surface of a detection table, a cross beam is fixed above the detection table, a detection tool clamp used for clamping the temperature switch is arranged on the front side of the top surface of the detection table, and the detection tool clamp is provided with a detection sensor of the temperature switch; a screwing knife used for screwing a temperature switch adjusting bolt is vertically and movably connected to the end face of the front side of the cross beam and located over the detection tool clamp, the two ends of the cross beam are fixed to the detection table through supporting columns, the screwing knife is in transmission connection with the bottom of a servo motor, and the servo motor is vertically and movably connected with the cross beam through a lifting device. According to the structure, the temperature switch accuracy detection system can ensure the detection quality of each temperature switch, and in addition, through automatic operation of the temperature switches, the detection efficiency is effectively improved.

This invention discloses a precise and rapid identification device for elements in drilling cuttings, relating to the field of geological exploration equipment. It includes a housing, a sample processing component, a rotating multi-station sample tray, an X-ray detection component, a cleaning component, a data calibration module, and a human-machine interface component. The sample processing component sequentially feeds, grinds, and presses the drilling cuttings into standard samples. The rotating multi-station sample tray carries the samples and moves them between stations. The X-ray detection component irradiates the samples and acquires elemental data. The data calibration module uses a machine learning model to correct the raw data in real time. The cleaning component automatically cleans the sample cups after use. This invention achieves a fully automated, integrated workflow from sample feeding to analysis, solving the problems of non-standard sample pretreatment, low detection efficiency, and poor data accuracy in the field, significantly improving the speed and accuracy of element identification in drilling cuttings.

The application provides a ship detection method and device based on frequency domain feature fusion and a storage medium, and belongs to the technical field of radar detection. The method comprises the following steps: inputting an acquired current remote sensing image into a ship detection model constructed based on a single-stage target detection method; generating frequency domain features corresponding to the current remote sensing image by a pre-constructed frequency domain feature extraction module in the ship detection model according to the current remote sensing image; generating spatial domain features corresponding to the current remote sensing image by a pre-constructed spatial domain feature extraction module in the ship detection model according to the current remote sensing image; generating fused features by the ship detection model according to the frequency domain features and the spatial domain features; and generating a detection result corresponding to the current remote sensing image by the ship detection model according to the fused features. The application aims to provide a ship detection method which can improve the accuracy and has real-time performance.

The present invention relates to the field of quality detection and control of structured and semi-structured data, and a method for data quality detection has the following steps: S1, defining basic rules; S2, creating business rules; S3, creating detection tasks; S4, executing quality detection; S5, performing quality scoring and overall volatility analysis. Compared with the prior art, the present invention provides a script engine to allow users to write detection rules in a scripting manner, thereby reducing the difficulty of rule creation and being able to more flexibly meet the needs of various scenarios.