14results about How to "Solve detection inaccuracy" patented technology

The invention relates to the technical field of automobile welding conveying lines, and provides an automobile welding conveying line target detecting, positioning and grabbing device which comprises a welding mechanism, a part conveying line, a grabbing mechanism and a part pretreatment mechanism, and the welding mechanism comprises a welding conveying line and a welding device arranged on one side of the welding conveying line; the grabbing mechanism comprises a first mechanical arm, a grabbing device, a control system and a visual detector, the grabbing device is connected with the free end of the first mechanical arm, the visual detector is arranged on the grabbing device, and the visual detector and the first mechanical arm are both in telecommunication connection with the control system; the part pretreatment mechanism comprises a pretreatment rack, a spraying assembly and a reflection detector, the spraying assembly and the reflection detector are arranged on the pretreatment rack, the pretreatment rack is located on the part conveying line, the spraying assembly is used for spraying an anti-reflection agent, and the reflection detector is used for detecting the reflection intensity of the side frame. The accuracy of welding operation can be improved.

The embodiment of the invention provides a multi-mode mental health prediction method, electronic equipment and a medium, and belongs to the technical field of medical science and technology and artificial intelligence. The method comprises the following steps: performing psychological health detection on target user psychological features of fused user micro-expression features, user micro-action features, user facial features, user emotion categories and user micro-mood categories to obtain psychological health prediction data of a target user. According to the embodiment of the invention, psychological health detection is carried out on the target user psychological features fused with the user micro-expression features, the user micro-action features, the user facial features, the user emotion categories and the user micro-mood categories, so that the psychological activity state of the user can be comprehensively captured; the problem that detection is inaccurate due to the fact that psychological health detection is carried out only through user micro-expressions as single basis features is solved, and the accuracy of psychological health detection is remarkably improved.

Embodiments of the present application provide a kind of helmet detection method, device, storage medium and system, its method includes: obtaining the sample image set of target object;Sample image set is carried out attribute identification, to obtain first label information and second label information;Based on first label, first label confidence, second label and second label confidence, initial neural network model is carried out model training operation, to obtain target neural network model;Through the target neural network model, label confidence analysis is carried out to target image information, to obtain the label confidence information of target image;In the case where the first confidence is greater than the first threshold value, the first label is contained in the label confidence information, and posture adjustment instruction is sent to target object;In the case where the second confidence is greater than the first threshold value, the second label is contained in the label confidence information, and alarm operation is executed.The present application solves the problem of low helmet recognition accuracy, thereby improving the accuracy of helmet recognition.

The utility model relates to valve sealing detection technical field discloses a kind of flange valve sealing detection equipment, including shell, shell side wall is fixedly connected with display screen, the shell inside is fixedly connected with shower nozzle, the rotating cylinder is rotatably connected to the shower nozzle outer wall, the rotating cylinder outer wall is fixedly connected with rotating disc and gear, the shell inside is provided with clamping assembly;The clamping assembly includes cylinder, the cylinder output end is fixedly connected with fixed plate, the fixed plate side wall is fixedly connected with rack, the rack is engaged with the gear, the gear outer wall is rotatably connected in shell inner wall.In the utility model, fixed plate and rack are moved by cylinder drive, rack drives gear and rotating cylinder to rotate, rotating cylinder drives rotating disc to rotate again, rotating disc drives fixed column, bearing to move, and then drive connecting plate and clamping block to gather, realize flange valve limit, solve the inaccurate problem caused by its detection easy to deviate, improve equipment detection accuracy.

The utility model relates to the technical field of automatic part detection, and discloses a positioning tool for automatic part detection, which comprises a table plate, two-way electric telescopic rods are fixedly mounted on the outer wall of the table plate, and the output ends of the two-way electric telescopic rods are fixedly sleeved with discs. Stabilizing rods are fixedly welded to the bottoms of the two anti-skid plates. According to the positioning tool for automatic part detection, two-way electric telescopic rods are started to drive discs on the two sides to move towards the outer side, drive moving rods in the discs to move towards the outer side, drive pull rods to move towards the outer side and drive anti-skid plates to move towards the outer side, the distance between the anti-skid plates is increased, the moving rods are taken out of the discs, and the anti-skid plates are taken out; the anti-skid plate and the stabilizing rod are driven to move under the extrusion of the springs on the two sides, and the anti-skid plate is matched to clamp the part, so that the part clamping effect is achieved, and the problem that in the existing part detection process, an auxiliary positioning structure is single, and detection is inaccurate is solved.

The present invention relates to the technical field of material testing and analysis, and in particular to a glass fiber board crack detection method and equipment, which specifically involves collecting a visible light surface image of a glass fiber board to be detected by optical means, and then obtaining a pre-processed visible light surface image, testing or analyzing the material based on the pre-processed visible light surface image, and testing each crack defect existing in the pre-processed visible light surface image, thereby determining the crack information of the glass fiber board to be detected, the crack information including whether there is a crack area in the glass fiber board to be detected and each initial crack area. The present invention determines the crack information of the glass fiber board to be detected by performing material testing and analysis on the visible light surface image of the glass fiber board to be detected, thereby effectively improving the detection accuracy of the glass fiber board crack detection, and can be used to realize new material detection, measurement, related standardization, certification and accreditation services, etc.

The present invention discloses a track data processing method, device, vehicle and medium. According to the previous track data of the historical obstacle and the current track data of the current obstacle detected by the vehicle radar, it is determined whether the current obstacle is associated with the historical obstacle; if the current obstacle is associated with the historical obstacle, the current track data of the current obstacle is updated according to the current track data of the current obstacle and the previous track data of the historical obstacle. The problem that the autonomous driving vehicle cannot accurately detect the obstacle track data within the perception range around the vehicle with only one radar under low-cost conditions is solved, and the previous obstacle track data detected by a radar and the current obstacle track data are associated and matched while reducing the hardware cost, so as to obtain the effect of stable and accurate obstacle track data.

The present disclosure provides a data recognition method, device, equipment and storage medium, the method mainly comprising: acquiring a target image; performing image recognition on the target image to obtain an image recognition result, the image recognition result including multiple target areas and data information of the target areas; classifying the multiple target areas according to the data information to obtain classification results of the target areas; classifying and matching the data information of the multiple target areas according to the classification results to generate data recognition results. Thus, automatic recognition can be achieved for the target image, effectively solving the problem of inaccurate image position detection due to image printing offset during image position detection, thereby significantly improving the accuracy of image data recognition and effectively improving the accuracy of data information recognition in the target area.

The invention provides a breath sound recognition method based on an event level detection technology, and belongs to the technical field of audio signal recognition. In order to solve the problem that an existing method is inaccurate in breath sound event detection, the breath sound recognition method based on the event-level detection technology, provided by the invention, constructs a breath sound recognition model based on a hierarchical token semantic audio Transform to detect an abnormal breath sound event, so that the detection accuracy and speed of the breath sound event are improved, and the detection efficiency of the breath sound event is improved. Therefore, the diagnosis efficiency of clinical respiratory diseases is improved.

The application discloses a greenhouse agricultural environment layered precision monitoring device, aiming at solving the problems that the prior art cannot detect the greenhouse environment parameters with full height precision, the gas exchange device has high energy consumption, and the natural temperature difference is not effectively utilized. The instrument core comprises a vertical environment monitoring column, a servo motor driven reciprocating screw rod, a lifting monitor, a plurality of groups of magnetic force valves arranged longitudinally and an exhaust fan. The reciprocating screw rod drives the axial reciprocating movement of the lifting monitor. The magnetic repulsion force is used for accurately opening and closing the magnetic force valve at the corresponding height. The built-in temperature and humidity and carbon dioxide sensors are used for realizing the accurate detection of the environment parameters at different heights of the greenhouse. Meanwhile, the exhaust fan and the screw rod can be driven by the temperature difference between the inside and outside of the greenhouse, so that the power-free gas exchange and detection are realized, the operation energy consumption is greatly reduced, and the detection precision and energy-saving and environment-friendly characteristics are combined.

The utility model discloses superfine powder detection equipment, and belongs to the technical field of superfine powder washing and screening equipment. The cleaning device comprises a cleaning box, a cleaning groove is formed in the inner side of the cleaning box, communicating grooves are formed in the surfaces of the left side and the right side of the cleaning box, a water inlet pipe is fixedly connected to the inner side of the communicating groove on the left side, and a water drainage pipe is fixedly connected to the inner side of the communicating groove on the right side. According to the device, by arranging the cleaning box, cleaning and water screening can be conducted on ultrafine powder, the screening convenience of the device is improved, by arranging the ultrasonic device, the ultrafine powder in water can be driven to be subjected to vibration separation, the ultrafine powder is prevented from being mixed and clustered, and the detection accuracy of the device is improved; according to the device, the screen is arranged, so that the ultrafine powder can be driven by the screen to rotate, the ultrafine powder can be further scattered by water flow, the phenomenon that the ultrafine powder is mixed and agglomerated is further avoided, the stability of the device is improved, and the problem that an ultrafine powder detection mode is inaccurate in detection is solved.

The invention discloses a lane line visual detection method and system under an expected function safety triggering condition and a vehicle, and the detection method comprises the steps: obtaining an original image of a lane line, constructing a backbone network based on a residual structure, processing the original image through the backbone network, obtaining a global feature map, and obtaining a lane line visual detection result; using the feature of the starting point position in the global feature map as the representative feature of the lane line instance, and associating the correlation between the representative feature of the current lane line instance and the representative features of other lane line instances into the representative feature of the current lane line instance by using an attention mechanism; according to the method, the lane line instance mask is established through the lane line instance representative features and the lane line starting point coordinates, the single lane line instance features are separated from the global feature map by using the mask, and the final lane line is obtained after the single lane line instance features are separated from the global feature map, so that the stability and the detection effect of a detector are improved.

The application relates to an I2C wiring diagnosis method, device, equipment and storage medium. The application matches preset backboard layout information with connection information to determine position information of the same backboard in the backboard layout; after the position information of each same backboard is determined, the hard disk positioning lamp in the backboard identified through the position information is lighted according to a set lighting strategy; the lighting state is read to a register corresponding to the I2C channel through the I2C channel between the mainboard and the same backboard; the first corresponding relationship and the second corresponding relationship are detected through the mapping relationship between the I2C channel and the register to analyze whether the I2C wiring has a problem, wherein the first corresponding relationship is the corresponding relationship between each register and each backboard with different position information, and the second corresponding relationship is the corresponding relationship between each I2C channel and each backboard with different position information, so that whether the I2C wiring between the mainboard and different backboards of the same type has a problem can be effectively detected.

The utility model discloses a thermal printer paper exhaustion detection device which comprises a first photoelectric detection sensor arranged in a machine body paper bin, the bottom of the paper bin is in a smooth arc shape matched with the surface of a paper roll, the side wall of the paper bin is perpendicular to the bottom of the paper bin, and the first photoelectric detection sensor is arranged on the side wall of the paper bin; a groove is formed in the center of the bottom of the paper bin in a downwards-sunken mode, the groove is used for containing a paper roll, a second photoelectric detection sensor is arranged at the bottom of the groove, and the second photoelectric detection sensor is lower than the paper roll in the groove. The detection results of the second photoelectric detection sensor and the first photoelectric detection sensor are integrated, so that misjudgment is reduced, and the detection accuracy is improved.