Biometrids - Identity with face recognition
https://biometrids.io/
The facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One way to do this is to compare the selected facial features of the image and face database.
It is commonly used in security systems and can be compared with other biometric data, such as fingerprint recognition systems or iris eyes. More recently, it has also become popular as a commercial identification and marketing tool.
Techniques for acquisition
faces Some face recognition algorithms identify facial features by extracting landmarks or characteristics of the subject's facial image. For example, an algorithm can analyze the relative position, size and / or shape of the eyes, nose, cheekbones and jaw. This feature is then used to search other images with matching functions. Another algorithm normalizes the facial image gallery and then compresses the face data, storing only data in the image useful for face recognition. Furthermore, the probe image is compared with face data. One of the first successful systems was based on a combination of template techniques applied to a series of prominent facial features, providing a kind of compressed face representation.
The recognition algorithm can be divided into two main approaches, geometric, analyzing characteristics, or photometrics, which is a statistical approach that filters images into values and compares values with templates to eliminate variation.
Popular recognition algorithms include analysis of key components using proprietary faces, linear discriminant analysis, elastic hand plot matching using Fisherface algorithm, hidden Markov model, multiline subspace learning using tensor representation and link instalation. dynamically motivated by neurons.
Three-dimensional recognition
3D face recognition techniques use 3D sensors to capture information about face shape. This information is used to identify the characteristics of the facial surface, such as the outline of the eye socket, the nose and the chin.
One of the benefits of facial recognition in 3D is unaffected by lighting changes like other techniques. You can also identify faces from different angles, including profile views. Three-dimensional data point of a face greatly improves face recognition accuracy. 3D research is reinforced by the development of advanced sensors that do a better job of capturing 3D face images. The sensor works by projecting the structured light on the face. Up to a dozen or more of these image sensors can be placed on the same CMOS chip; Each sensor captures different parts of the spectrum ....
Even the perfect 3D combination technique can be sensitive to expression. For that purpose, a Technion group applies metric geometry tools to treat expressions such as isometry.
The new method is to introduce a way to capture 3D images using three tracking cameras that lead to different angles; a camera will lead to the front of the subject, the second to one side and the third to a corner. All these cameras will work together to be able to follow the subject face in real time and be able to detect and recognize.
Analysis of skin texture
Another trend that appears using visual details is a mask, such as that captured on a standard scanned image or scan. This technique, called skin texture analysis, changes the lines, patterns and unique points that are visible on a person's skin into a mathematical space.
Tests have shown that with the addition of skin texture analysis, facial recognition performance can increase from 20 to 25 percent.
Thermal camera
Different ways to retrieve input data for face recognition is through the use of thermal cameras, using this procedure, the camera will only detect the shape of the head and ignore the subject accessories, such as glasses, hats or makeup. One problem with using thermal images for face recognition is that the database for face recognition is limited. Diego Socolinsky and Andrea Selinger (2004) investigated the use of thermal facial recognition in real-life scenarios and operations, and at the same time created a new thermal shadow image database. The research used low-resolution, low-feroelectric ferroelectric sensors capable of obtaining thermal infrared waves long wave (LWIR). The results show that LWIR fusion and regular visual cameras have the best results on an outdoor probe. Indoor results show that visuals have an accuracy of 97.05%, while LWIR has 93.93% and Fusion has 98.40%, but on the outside, visuals have 67.06%, LWIR 83.03% and merge 89.02% . The study used 240 subjects over a 10-week period to create a new database. Data collected on a clear, rainy and cloudy day.
Biometrides is a new platform built to facilitate the identification of automotive device users. at the same time as a platform that can solve the identity problem in the block
The Biometrids Platform lets people identify themselves with others through face recognition installed on their phones. Using a distributed ledger that does not change, everyone in the chain is unique. Face means ID, and every unique ID. If you are listed in that chain once, you will never be able to manipulate that ID again or copy that ID. This will prevent identity theft and fraud, and will also ensure that users are those they say.
https://biometrids.io/
Token name is IDS.
There will be a total of 100,000,000 IDS.
- 5% will be sold in pre-ICO.
- 5% will be for awards and advisors.
- 70% will be sold in crowdsale.
- 10% for the team.
- 10% will be the foundation.
Pre-ICO will run for a week and the price is 910 IDS / 1eth. The crowd will run for four weeks and the price will be:
- Week 1: 665 IDS / 1eth
- Week 2: 550 IDS / 1eth
- Week 3: 500 IDS / 1eth
- Week 4: 450 IDS / 1eth
Pre-Ico and crowdsale will run until now, or until all the coins are sold. 10% for the team and 10% for the foundation will be under lock and key for three years.
Any unsold currency during ICO will be blocked for five years. After five years, they will be sold to the first investor in a private fundraising campaign. They will not be sold on the exchange.
ROADMAP
TEAM
For more information please visit our LINK below:
Website: https://www.biometrids.io/index.php
Twitter: https://twitter.com/biometrids
Facebook: https://www.facebook.com/Biometrids-1603692473026252/
Telegram : https://t.me/joinchat/E-BNGBDaHcasMMJOlsEPmw
Creative: agusomen
https://bitcointalk.org/index.php?action=profile;u=1548502
ETH: 0xf65BB1DD453066a8705fc931a48C40f00Ce979D4
Komentar
Posting Komentar