Grinding Glass Microsphere
5. To add new glass beads to ensure the quality and efficiency of grinded materials.
Grinding Glass Beads are mainly used for the disperser, grinding media of industries, such as coloring, paint, ink, coatings, resins, chemical engineering, with the advantages of smooth surface, even size, high hardness, good chemical stability. Thanks to the characteristics of heat-resistant, wearable, compression strength, the filling-type bead could be used to improve glass fibre reinforced plastic, rubber, and so on.
Grinding Glass Beads Grinding Glass Beads,Grinding Glass Beads Borosilicate,Grinding Glass Beads Road Marking,Gj-I Grinding Glass Beads CHIYE GLASS BEAD (HEBEI) CO., LTD , https://www.chiyeglassbeads.com
1. Fingerprint collection and classification This is the first step in the operation of the Automatic Fingerprint Identification System (AFIS). The image of the living fingerprint is recorded into the system through an optical or CMOS fingerprint collector, and the image is segmented. Under the premise of keeping the useful fingerprint information substantially complete, some redundant image information is cut out to generate a relatively small fingerprint image. The figure performs enhancement processing to attenuate noise, enhance contrast of the ridges and valleys, and improve image quality. Then extract the features of the image, generate an array of directions, and then use the fingerprint analyzer to divide the ridges and valleys of the fingerprint into five categories, such as a pointed arch, an arch, a left ring, a right ring, and a vortex. Small species belong to each other. The main purpose of fingerprint classification is to facilitate the management of large-capacity fingerprint database, reduce the search space, and speed up the fingerprint matching process.
2. Fingerprint collection After the fingerprint identification device is normally connected, the fingerprint can be recorded. In the fingerprint collection process of the reader, the fingerprint of the reader needs to be entered twice. The fingerprint collected for the first time is compared with the fingerprint collected for the second time. If the system is successfully saved, it will be saved and added to the fingerprint identification system.
If the fingerprint collected is not qualified, the system will give an audible prompt. If the identification is not acceptable, the save function cannot be used and needs to be re-acquired. Double quality control is performed on the collected fingerprint information of the reader before being saved to the database. To judge the quality of the fingerprint collected, the fingerprint information collected for the second time and the fingerprint template collected for the first time are subjected to a 1:1 single comparison to ensure the quality of the fingerprint collection, and to prevent illegal and unqualified fingerprint information from being stored in the database.
3. Fingerprint detail matching This is the core of the automatic fingerprint identification system. In this system, the Biokey algorithm is adopted. This algorithm is a fast and accurate 1:1 and 1:N fingerprint identification algorithm. When using Biokey for fingerprint recognition, 2000~6000 fingerprints, no need to pass the name on the fingerprint. Pre-classification of PIN, etc. can be easily completed in the Pentium III900MHZ128MB memory environment under the test of 1~5S.
4. Fingerprint compression and storage In order to save storage space, the fingerprint image must be compressed. At present, fingerprint image data compression algorithms are more common in JPEG, WSQ and EZW. The system uses Biokey-WSQ based on adaptive scalar quantization and wavelet decomposition image compression algorithm. When used for fingerprint image compression, the algorithm can keep fingerprints as much as possible. The detailed feature point information has little influence on the accuracy of extracting fingerprint detail features after decompression. When the WSQ algorithm performs fingerprint image compression with large compression ratio, the location of the feature points of the decompressed fingerprint image and the related information are better preserved, which has less influence on the fingerprint recognition to be performed later. The WSQ compression ratio is 1:20 or 1:15, that is, a fingerprint image can be compressed to 6~10K. This compression ratio is very suitable for this algorithm. This saves storage space and does not affect the extraction of template feature points after decompression. It is used for fingerprint image compression, and considering the need for fingerprint image recognition, the algorithm is improved from the perspective of maintaining key point information as much as possible.
1. To select glass beads in types, sizes and quantity in accordance with viscosity, rigidity and dispersal of the grinded materials.
2. To clean glass beads and mill's inside before the grinding processed.
3. To input the grinded materials firstly and a curtain amount of glass beads later. To add continuously glass beads till 70%~80% of the mill is full.
4. To forbid to keep glass beads funning with little grinded material for a long time, as the glass beads inside the mill are easily broken at high speed operation.
The glass bead can be produced based on the standard of countries or areas, such as EN1423/1424, AASHTO M247, BS6088, JIS R3301 and KS L2521 etc.
The process of using the fingerprint identification system
[ Huaqiang Security Network News ] The fingerprint identification system is developing rapidly in the security industry. It is also used frequently in daily work. Let me introduce the use process of the fingerprint identification system. I hope to help everyone. Fingerprint recognition technology is well known. The fingerprint of a person has the characteristics of uniqueness and stability. That is, each person's fingerprint is unique. There is no identical fingerprint between the two, and each person's fingerprint is quite fixed, generally not It changes with age and health status, so people can be identified by fingerprints. At present, there are many automatic fingerprint identification systems at home and abroad, but their structures are similar, including fingerprint collection and classification, fingerprint matching and fingerprint compression and storage.
Product Description