6results about How to "Avoid recording" patented technology

The invention relates to the technical field of reinforcing steel bar node reinforcement, in particular to a modular reinforcing steel bar node reinforcement method, which comprises the following steps: S1, carrying out field investigation and node analysis, recording the conditions of the existing node, including the diameter, spacing and corrosion degree of a reinforcing steel bar, carrying out accurate measurement by using a laser scanner, and simulating the stress state of the node by using ANSYS or SAP2000; determining positions and degrees of nodes needing to be reinforced; s2, standardized modularized steel bar assemblies are designed and machined, the steel bar materials are HRB500, the specifications are 12 mm, 16 mm and 20 mm, the module width is 300 mm, the length is 500 mm, standardized connectors are connected through bolts or quick connecting plugs, the size error is controlled to be + / -1 mm, epoxy coating or hot galvanizing is adopted for rust prevention treatment, and the coating thickness is larger than or equal to 100 micrometers; s3, a node area needing to be reinforced is cleaned, a surface rusted and loosened concrete layer is removed, and a structural layer is exposed; the modularized steel bar assemblies and the standardized construction process are adopted, the construction efficiency is improved, and the site construction period and the labor cost are reduced.

The application relates to the field of food safety traceability technology, in particular to a cold-chain transportation food traceability method and system based on food safety. The method comprises the following steps: on a cold-chain transportation vehicle, environment data and vehicle operation state data in a carriage are synchronously collected within a preset time interval, and the collected environment data and the vehicle operation state data are packaged into a context snapshot data packet; the context snapshot data packet is digitally signed by using a pre-stored private key; the signed context snapshot data packet is transmitted to a food traceability distributed ledger through an encryption channel, is verified, and according to a preset logic judgment rule, the internal logic consistency between the environment data and the vehicle operation state data in the context snapshot data packet is cross-compared; through the cross comparison of the environment data and the vehicle operation state data and in combination with the digital signature technology, the application can verify the authenticity of the data from the dual dimensions of the physical world and the digital world.

The invention discloses a vehicle contact event detection method and related equipment, and relates to the technical field of intelligent transportation, and the method comprises the steps: obtaining elastic wave sensing data and vehicle all-round video stream data in real time; judging whether a target contact event occurs or not according to the elastic wave sensing data; and when it is judged that the target contact event occurs, intercepting and storing a target video corresponding to the target contact event in the vehicle around-view video stream data. According to the method, the elastic wave sensing data and the vehicle around-view video stream data are acquired in real time, the target contact event is accurately judged and recorded, and accurate detection and efficient video storage of the vehicle contact event are realized.

The invention relates to a road steel slag volume stability evaluation method and system based on image recognition, and the method comprises the steps: building a steel slag image collection system, and carrying out the spatial calibration of the system; the method comprises the following steps: placing to-be-detected steel slag in a system, and collecting an image of the steel slag within a set time through the system; processing the image to obtain a damage area displayed in the image, and segmenting a bump area and a crack area in the image according to morphological characteristics of the steel slag; according to the corresponding relation of space calibration, obtaining the accurate size of the actual bump and crack of the steel slag from the segmented bump and crack areas in the image; performing dynamic modeling and analysis on the expansion state of the steel slag according to the accurate size to obtain the expansion rate and the expansion rate of the bumps and the cracks; and evaluating the steel slag according to the early warning threshold value. According to the method, the detection efficiency and the result objectivity are improved, and reliable technical support is provided for quality control and safe utilization of the road steel slag.

This application discloses a rendering model training method and apparatus, a video rendering method and apparatus, a device, and a storage medium, and belongs to the field of image processing technologies. The rendering model training method includes: obtaining a first video including a face of a target object (201); mapping a facial action of the target object in the first video based on a three-dimensional face model, to obtain a second video including a three-dimensional face (202); and training an initial rendering model by using the second video as an input of the initial rendering model and using the first video as supervision of an output of the initial rendering model, to obtain a target rendering model (203). The second video generated based on the three-dimensional face model is used as a sample for training the rendering model, so as to avoid recording a large quantity of low-definition videos because of high recording requirements before the rendering model is trained, thereby reducing computing resources and time required for training the rendering model.

Embodiments of the present application provide an identity detection method and device for reducing attack risk, a medium and equipment, the method comprising: obtaining a video with glare containing a face to be detected; selecting a plurality of key video frame images from the video with glare, and arranging the key video frame images in the order of recording time to obtain a sequence of video frame images; obtaining a target face region of each key video frame image in the sequence of video frame images; extracting color information of each target face region, and determining key color information corresponding to each sequence group; determining whether the key color information corresponding to each sequence group in the sequence of video frame images corresponds to a preset background light opening sequence, to obtain a judgment result of whether the face to be detected in the video with glare passes the identity detection. The embodiments of the present application can prevent hackers from recording a fake video with glare in advance to invade a face recognition system to replace a real video with glare, thereby cheating the face recognition system.