Grinding head is a kind of small handle grinding tools, used in electric mills, hanging mills, hand electric drills. There are many kinds of diamond grinding head, ceramic grinding head, rubber grinding head, diamond grinding head, emery cloth grinding head.
Ceramic grinding head: grain size sand (generally brown corundum, white corundum, chrome corundum, silicon carbide) sintered by ceramic binder, with a metal handle in the center. Mainly grinding all kinds of metal, for grinding the inner wall of aperture, mold correction. Rubber grinding head: fine sand is synthesized by rubber binder for the polishing of mould
Diamond grinding head: A kind of stone material, ceramic materials and other non-metallic materials of grinding tools, especially involving a with diamond alloy grinding tools for grinding body, it includes substrate and a mill body, in which several mill body clearance to fixed to the substrate, the grinding surface of the grinding head grinding body also set a clearance, among them, the substrate is best by a certain toughness of adhesive materials, The grinding body is preferably made of diamond alloy material. The utility model has the advantages of high grinding performance, simple manufacturing and low cost, high grinding quality and being suitable for large-scale grinding Grinding Heads,Cbn Sharpening Stone,Brazing Diamond Drilling Tool,Flexible Polyurethane Grinding Head Henan Jinlun Superhard Material Co., Ltd , https://www.kmgrindingwheels.com
Smart Streaming Technology
The smart code stream is the system according to the image recognition, according to the movement speed of the main body of the picture, the normal recording video stream adjustment, the final video storage. For slow-moving subjects, stream recording can be as low as 8 frames per second (fps) or less. For normal-movement subjects, the codestream is set to 25fps, and the video stream for sensitive objects can be set. Set at 30fps or more. For high-speed moving subjects, with high-speed cameras, the code stream can be up to 1000fps. Intelligent stream technology can reduce the use of non-sensitive images to occupy video storage resources, thus providing adequate recording capabilities for sensitive images.
Dynamic Region Adaptive Intelligent Monitoring Technology
Taking a garage video surveillance screen as an example, the sensitive information on the screen is the moving vehicle and people. Insensitive pictures are backgrounds (ground and roof). However, in actual video recording, the background (ground and roof) occupies more than 50% of the storage space. With the image recognition technology, it is possible to determine a fixed background and a moving object image, and therefore, there is a technical possibility that there is motion only in the recorded screen. Dynamic area intelligent monitoring only records moving objects other than the background, which greatly reduces the video storage space requirements. The same storage space and the length of video that can be retained can be doubled. The camera system, through image recognition technology, can learn intelligently and determine which images are backgrounds. Even if the camera is controlled by the PTZ, the new background in the recorded video can be automatically determined through automatic learning within the set time. Intelligent monitoring of moving object images.
Low-rate recording technology in non-sensitive areas
The 25% to 30% area above the video, usually the top image of the sky or building, is basically an area where sensitive features are unlikely to occur. For example, the images of the red mosaic part in some typical surveillance images do not basically contain the video content that people care about, so the non-sensitive area of ​​the video image can be ignored or recorded in a lower stream, only during playback. High-speed video makes a sync. It is worth noting that the non-sensitive areas are different in different application scenarios, and some may be below the video image, some monitoring scenarios, and non-sensitive areas are irregular, and can be installed after the video surveillance system is installed. The situation is then manually set at the application level.
Face/vehicle recognition (or other sensitive moving objects) driving high-definition video recording technology
In special circumstances, such as entrances to buildings, elevators, etc., human faces are sensitive images. In the garage and in the entrance and exit of the community, the vehicle and its number plate are sensitive images. If all high-definition video can meet the monitoring needs, but video storage, especially long-term preservation will require a huge amount of storage space; if according to image recognition technology, determine the presence of sensitive images, only to drive the camera to start HD recording, for general non-sensitive images, start standard-definition or even low bit rate video streams for recording. This combination of high-definition and standard-definition monitoring records ensures the quality of record-sensitive images while reducing the amount of video storage to a large extent.
Sequence frame video file distribution storage technology
Frames generated within one second of the video are identified as sequence frames. At the same time, the storage and playback sequences are compiled. The frames of different sequences are divided into several files for storage; a single frame sequence file can be played independently, and the effect is equivalent to the video recorded in the low stream. effect. All frame sequences can be synthesized when the full video is played together, and HD (or SD) video effects are available. When the storage space needs to be reclaimed, it can be planned according to the storage strategy, and the area occupied by a part of the sequence frame video files is covered first. The other part is saved to make more efficient use of storage space. For example, according to the original storage capacity, one month of video data may be retained, and after the distribution and storage of the video frame files, the file data of the selected sequence of frame videos may be retained for several months. Partial coverage is applied to the video files of the sequence frames that have been reserved for the medium and long-term, and the fade-in video is gradually discarded. The video data that is retained for a long period of time is not disappeared completely, but is gradually disappeared and discarded. This maximizes the time it takes to monitor video for retention.
Intelligent video surveillance video stream based on the above five technologies
As shown in FIG. 1 , the intelligent monitoring video stream is recorded and stored after a series of different logical levels of image recognition and intelligent judgment. The application of the dynamic area adaptive intelligent monitoring technology and the non-sensitive low-stream recording technology can be implemented throughout the entire storage process according to actual needs, or can be selectively implemented according to the manual settings at the application level. Image recognition starts from preliminary identification to fine identification and is performed hierarchically as needed. For the sampling frequency of the video image recognition, a specific frequency can be set as required, and it is not necessary to recognize the image of each frame.
Five Aspects of Intelligent Monitoring Technology
Intelligent monitoring technology has been developed in many independent areas. However, there are no more comprehensive and comprehensive solutions. According to many years of work practices, the author combines the current development of computer technology and proposes the following five technical aspects. .