The portable routing machine is an electric Power Tools with a rotary cutter which is designed for the chip-removing shaping of wood and other materials. It can be used for example for edge trimming, fitting and trimming work. The drive shaft carries a router bit with shank which is predominantly positioned at right angles to the guide surface.
Electric Router,Stone Electric Router,Portable Electric Router ,Mini Electric Router AWLOP CO.,LTD , https://www.awlop.com
The general principles of the video retrieval system we often say are similar. Firstly, the retrieved data needs to be centralized and processed first. In this process, the transfer of large amounts of data requires higher speed and better equipment to collect. After the data is collected, the data is summarized for manual inspection by relevant personnel.
By viewing the condensed video, you can effectively save the time for troubleshooting the video. When you find the desired target in the condensed video, you can quickly open the corresponding original video clip by clicking on the target on the video. The case handler can further initiate the search by providing target features such as person or car, target color, height, direction of movement, speed of movement, pedestrian dressing, gait, or by providing a sample. The video retrieval system first decodes the undecoded video data through an efficient decoder, and then extracts and extracts the moving targets through the background modeling algorithm, and then extracts and analyzes the focused features of the moving targets through the intelligent analysis algorithm. The analysis results are properly described, stored in the database, and compared with the features of the requested search. Finally, the high-correlation target is displayed as a result by snapshot or other means, and the original video clip can be quickly located.
The basic characteristics of certain goals are instantly analyzed and recorded in the records for retrieval.
At present, the video retrieval system being applied in China can only index and retrieve some basic features of the target. The current video retrieval system cannot complete the task of "finding a girl with iPhone6" because of the resolution, With the influence of multiple factors such as clarity and video angle, we can't tell the model of the phone. We don't even know if there is anything in the target. We can't even judge whether the goal is a boy or a girl because of the fast changing era of this popular factor. . Some of the amazing intelligent analysis effects shown in some film and television works can only provide researchers with some research ideas and directions. In addition to being able to search for some of the basic characteristics mentioned above, what we can do now is to retrieve the license plate information, which is due to the maturity of the license plate recognition technology and the construction of the intelligent transportation system. For tasks like face recognition, for general surveillance video, even high-definition bayonet, it is difficult to achieve high accuracy, or combined with manual comparison to really play a role, the human eye can accurately distinguish and identify The goal, the video retrieval system may not be able to achieve, to achieve the human eye's ability to distinguish, that is, after all, is the highest realm and ultimate goal in the field of machine vision, there is still a long way to go. Seeing the hidden propaganda of some products, the suspects in the video changed clothes, wore hats, changed vehicles, and the retrieval system could accurately retrieve the target. The author was ignorant and skeptical.
At present, the security field is developing rapidly. Under the era of big data, video retrieval technology can effectively make better development for the security field. However, such technologies also need to be continuously improved and improved to better promote the development of security in all fields.
Video retrieval system
The scale of security infrastructure construction is constantly expanding. The scale of real-time data has reached the order of PB. At the same time, video data from the consumer field is also providing data support for security. Everyone's mobile phone may upload images to the public security platform. Information, providing case clues, to quickly and efficiently filter effective information from these massive information, video retrieval technology needs to be improved in two directions: first, it needs to improve the processing power and efficiency of video data, to meet the level of massive data. Process data more accurately and quickly, extract and describe the content of the information, and efficiently index and store to meet subsequent data information retrieval, analysis and mining services. Secondly, it is necessary to improve the current data processing technology and storage architecture from the perspective of architecture, and introduce new technologies for big data services to meet the security data retrieval requirements in big data environment.
At present, the distribution of video data in the security field is mainly distributed and stored independently on the servers of various organizations. The application of video retrieval is mainly performed by an independent server, and as the amount of data rapidly expands, this This approach will certainly encounter bottlenecks in data movement and computing power in the near future. Big data-related cloud computing and cloud storage technologies are applied to security video retrieval services, which can solve the problem of data movement, and fully exploit the advantages of distributed computing to discover sufficient computing power.