Face recognition software

The immense potential of neural networks and machine learning algorithms enables efficient and accurate face detection, tracking and recognition. New technologies are actively used in many areas of business: for online insurance, remote verification of users of financial companies or banks, and contactless identification in logistics.

The neural network captures changes on a person’s face and analyzes several frames at once. This process ensures that there is a live person in front of the camera, which eliminates the possibility of fraudulent use of images on mobile screens or paper.

The principle and structure of the neural network is largely based on the structure of the human nervous system. The speed of its development and learning depends on the size of the database: the more information the artificial intelligence processes, the smarter it is. Thus, the machine acquires the ability to analyze and interpret data, which is used in the development of many software products that perform various functions.

Neural network training makes it possible to carry out face recognition in real time. This process takes less than a minute and gives an accurate result.

The program algorithm works as follows:

• Loading data into the system

The more diverse the source material is, the more effective recognition will be in practice.

• Data processing

Based on the video storyboard, the system projects casts of all unique face tags (mouth, eyebrow, chin and nose areas). This is how a general array of information is formed, corresponding to a certain person.

• Face recognition

The system reads the markers of the faces that enter the camera and compares them with those that are already in its memory. In case of a match, it recognizes and identifies the person.

The program creates a rectangle around the detected face, collects data and displays information about it. During operation, the software extracts a number of attributes related to a face: it takes into account the position of the head, age, gender, emotions, eyes open or closed, and also takes into account lighting, location in space and other factors.

Typically, recognition occurs in four stages:

1. Face and silhouette detection in a photo or video.
2. Correction of visual distortions.
3. Extraction of facial characteristics.
4. Verification / identification of a person.

The quality of a product program is assessed using a set of metrics that correspond to typical system use cases.

The AVADA MEDIA team has been developing software for over nine years, including software for face recognition based on artificial intelligence and neural networks. A wide range of applications, a user-friendly and simple interface, as well as quick implementation make the product optimal for many companies and enterprises.

Facial recognition software is used in the following areas and industries:

• Retail & Marketing

The software prevents theft and loss of business, effectively identifying shoplifters, and also collects data on visits and actions of buyers in the sales area.

The facial recognition algorithm conducts a gender-age analysis of visitors, helps to determine the target audience and evaluate the effectiveness of marketing campaigns. In addition, the technology can be used to biometrically identify employees and increase their productivity.

• Financial institutions

The capabilities of facial recognition software help to quickly identify fraudsters, improve the quality of scoring (customer ratings) and reduce personnel risks.

The system identifies people who have visited a bank or other financial institution, collects data about them, checks documents and identifies unscrupulous customers. This approach significantly reduces the time required to make a decision on loans and reduces possible risks.

• Enterprise security

The technology makes it possible to increase the level of security in the office and at the enterprise, effectively provides access to workplaces, is responsible for monitoring the presence of employees and recording working hours. The system makes access to the company territory quick and comfortable, reducing the time for passing the control to a few seconds.

• Transport and public safety

Airports, railway stations, sea and river ports, stations and urban public transport – all of them from time to time attract the attention of fraudsters, terrorists and other intruders. High accuracy and speed of information processing make facial recognition software an ideal tool for ensuring security at transport facilities. The technology also makes it possible to instantly identify offenders and locate wanted persons.

• Verifications on websites and applications

The system helps to “clear” traffic from bots, scammers, fakes and create a comfortable environment for users, which has a beneficial effect on the reputation of the resource, and also increases the loyalty of the target audience, the effectiveness of marketing campaigns and promotions.

• Entertainment industry

The program provides internal security and allows you to inform employees about the appearance of unwanted visitors or scammers. Daily and monthly statistics of customer visits help segment the target audience, determine how much time visitors spend on the premises and improve work with them.

It is a simple and easily scalable system as the process of memorizing a new face takes a matter of seconds.

Our specialists use innovative technologies for neural learning, so the product performs its functions efficiently. We always take into account the individual needs of the company and offer solutions that best solve the assigned tasks and contribute to business development.