{"id":71282,"date":"2026-04-21T01:05:37","date_gmt":"2026-04-21T04:05:37","guid":{"rendered":"https:\/\/a3aengenharia.com.br\/solucoes\/geral\/safr-from-realnetworks-2\/"},"modified":"2026-04-22T19:46:17","modified_gmt":"2026-04-22T22:46:17","slug":"safr-from-realnetworks","status":"publish","type":"solutions","link":"https:\/\/a3aengenharia.com\/en-us\/solutions\/electronic-security-systems-engineering\/safr-from-realnetworks\/","title":{"rendered":"SAFR from RealNetworks"},"content":{"rendered":"\n

Facial Recognition has become a prominent technology in today’s world, with applications ranging from security to retail data analysis. With a rapidly expanding market and promising projections, efficient and innovative solutions have emerged to meet this growing demand.<\/p>\n\n\n\n

In this context, the SAFR from RealNetworks<\/strong> Facial Recognition Solution stands out as one of the leading options available on the market. With high performance, efficiency, and integration with advanced technologies, SAFR delivers accurate results and exceptional speed, making it a viable choice for various sectors.<\/p>\n\n\n\n

In this article, we will explore how SAFR works, its benefits and unique features, understanding how this technology uses artificial intelligence to identify and authenticate individuals based on their facial characteristics. We will learn about its practical applications, its effectiveness even in scenarios with facial occlusions, and how its implementation can optimize processes and ensure greater security across different environments.<\/p>\n\n\n

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SAFR from RealNetworks<\/strong> is an advanced facial recognition solution that stands out in the market for its speed and efficiency. With an impressive accuracy rate of approximately 99.87% in recognition and an average response time of less than 50 ms, SAFR is undoubtedly one of the best options currently available on the market.<\/p>\n\n\n\n

In addition to its efficiency, SAFR also offers great cost-effectiveness, as it requires only 1\/5 of the hardware resources demanded by its competitors. This characteristic makes the solution highly accessible and viable for various sectors, such as banking, industry, retail, healthcare, and airports, especially at a time when contactless solutions are so important.<\/p>\n\n\n

How Does It Work?<\/h2>\n\n\n\n

SAFR uses advanced technologies such as Artificial Intelligence<\/strong>, Machine Learning<\/strong>, and Deep Neural Networks<\/strong> to deliver highly accurate facial recognition results. The process begins with facial recognition software that detects an individual’s face in an image or video captured by a camera.<\/p>\n\n\n\n

From the face detection, SAFR creates a unique representation of the face, known as a facial signature. This signature is compared against faces present in a pre-defined database to identify possible matches.<\/p>\n\n\n\n

To carry out this process, SAFR operates with two main components: SAFR Desktop<\/strong> and SAFR Recognition<\/strong>. These two parts work together and are connected to a video source to detect faces and generate their respective signatures. Subsequently, this information is processed and compared against the database to determine whether there are matches.<\/p>\n\n\n\n

Facial detection is carried out primarily by the SAFR Desktop and SAFR Recognition components, but the recognition process itself is performed by SAFR Cloud<\/strong> or SAFR Platform<\/strong>, depending on the chosen deployment method.<\/p>\n\n\n\n

Face capture and detection are critical factors for the effectiveness of this technology, as the human face can present subtle variations such as lighting, camera resolution, and focal distance, which can influence the solution’s accuracy rates.<\/p>\n\n\n\n

SAFR takes into consideration specific information about the detected face, such as its orientation (referred to as Center Pose Quality<\/strong> or CPQ<\/strong> in SAFR), sharpness, contrast, and size. This information is used to determine whether the face found is suitable for the recognition process. If so, the face is sent to SAFR Cloud or the Local Server for facial recognition to be performed.<\/p>\n\n\n\n

This advanced technical approach of SAFR allows it to achieve high levels of accuracy in facial recognition, making it a powerful tool for various applications and industries.<\/p>\n\n\n\n

Check out below the step-by-step configuration of the solution in conjunction with the Milestone Systems XProtect VMS:<\/p>\n\n\n\n

Facial Detection<\/h3>\n\n\n\n

The solution starts by automatically detecting faces through the installed cameras. When a face is identified, it can be added to the face registry and inserted into specific lists for identification and analysis purposes.<\/p>\n\n\n\n

\"Facial<\/figure>\n\n\n\n

With this precise and fast detection, SAFR simplifies the face registration and management process, making it efficient and highly reliable for a variety of applications.<\/p>\n\n\n\n

This detection approach facilitates the inclusion of new individuals in the system and allows for quick updates, ensuring that the database is always up to date for accurate and reliable facial recognition.<\/p>\n\n\n\n

With SAFR, the facial detection process is essential for unlocking the full potential of person recognition and identification, making it a powerful tool for improving security and efficiency across various scenarios.<\/p>\n\n\n\n

Face Registration<\/h3>\n\n\n\n

When a face is detected, SAFR offers the ability to register it under different categories, meeting the user’s specific needs. Among the available options, the following stand out:<\/p>\n\n\n\n

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  1. VIP \u2013 For special individuals, such as VIP customers, strategic partners, or important visitors.<\/li>\n\n\n\n
  2. Blacklist \u2013 For individuals identified as threats or persons prohibited from accessing certain areas.<\/li>\n\n\n\n
  3. Whitelist \u2013 For authorized employees or persons permitted in restricted areas.<\/li>\n\n\n\n
  4. Wanted \u2013 For individuals wanted by authorities or identified as suspects of crimes.<\/li>\n\n\n\n
  5. Authorities \u2013 For important figures, such as security team members, senior-level employees, or executive-level managers.<\/li>\n<\/ol>\n\n\n\n

    This categorization flexibility enables more efficient management of registered information, making SAFR a versatile and adaptable solution for various scenarios and each client’s specific needs.<\/p>\n\n\n\n

    \"Cadastramento<\/figure>\n\n\n\n

    After the face has been added to the database, the system will be ready to perform facial recognition. The analytic is capable of recognizing and identifying information such as whether the person is wanted, their gender, age, and even their sentiment.<\/p>\n\n\n\n

    With this valuable information, it is possible to implement a high level of security and have full access control, as well as gain important insights to improve business operations.<\/p>\n\n\n\n

    Through SAFR, it is possible to identify whether a customer is male or female, which areas of the store have the most foot traffic, which regions generate the most interest, whether people are happy, perform overall visitor counts, queue counts, and prevent lost sales due to abandonment, taking into account people’s satisfaction or dissatisfaction while waiting in lines.<\/p>\n\n\n\n

    The information provided by SAFR enables more informed and strategic decision-making, allowing for improvements in customer experience, resource optimization, and increased operational efficiency. The image below illustrates some of the features and insights that can be obtained with SAFR:<\/p>\n\n\n\n

    \"Reconhecimento<\/figure>\n\n\n\n

    Mask Recognition<\/h3>\n\n\n\n

    SAFR was specifically developed to operate with high accuracy in detecting and recognizing faces, even in situations where the face is partially obscured by face masks or sunglasses. The system was trained using a vast amount of images of faces in motion, including various types of facial occlusions, which allows it to reliably identify whether a person is wearing a mask or not.<\/p>\n\n\n\n

    This precise detection capability, even with facial occlusions, enables the configuration of automated alerts based on obstructions. This makes SAFR a valuable tool for ensuring compliance with disease prevention and control measures, without the need for additional human resources for continuous monitoring or positioning of security staff at each entrance.<\/p>\n\n\n\n

    When part of the face is not visible, SAFR’s facial recognition algorithm is able to focus on the visible reference points to accurately determine a match. This algorithm was specifically trained to handle partially obscured faces, allowing it to maintain high accuracy rates even in situations where people are wearing masks.<\/p>\n\n\n\n

    \"Reconhecimento<\/figure>\n\n\n\n

    Registering Video Analytic Metadata in the Milestone XProtect VMS<\/h3>\n\n\n\n

    Registering video analytic metadata in the Milestone VMS is an important step to ensure that events generated by SAFR are properly viewed and managed in the Milestone Smart Client. This allows the VMS to use the analytic data to create rules and execute pre-configured actions.<\/p>\n\n\n\n

    \"Cadastrando<\/figure>\n\n\n\n

    Facial Recognition<\/h3>\n\n\n\n

    Facial recognition and identification are crucial steps in the process. When the video analytic event reaches the Milestone VMS Smart Client, it is possible to manage events in real time, enabling immediate action to be taken. This contributes to quick and effective responses to security threats.<\/p>\n\n\n\n

    \"Reconhecimento<\/figure>\n\n\n\n

    Sentiment Feedback<\/h3>\n\n\n\n

    Sentiment feedback is one of the most powerful features provided by facial recognition. Beyond its ability to identify wanted individuals or criminals, this technology offers the possibility of profiling customers who frequent a given establishment.<\/p>\n\n\n\n

    Through the use of video analytics, it is possible to perform precise counts, identify gender, and capture customer sentiment, generating valuable information for strategic decision-making in business operations.<\/p>\n\n\n\n

    By gaining insights into customer satisfaction during their shopping experience, as well as detecting moments of dissatisfaction in lines or other areas of the store, it is possible to improve service quality and product offerings.<\/p>\n\n\n\n

    These analyses also make it possible to identify the most sought-after product types and which areas of the store are most frequented, enabling optimization of product placement and even better segmentation of the target audience.<\/p>\n\n\n\n

    With the use of this advanced technology, the monitoring system becomes truly intelligent, driving the performance and efficiency of the establishment.<\/p>\n\n\n\n

    \"Feedback<\/figure>\n\n\n\n

    Actions Based on Facial Recognition<\/h3>\n\n\n\n

    Actions based on facial recognition represent one of SAFR’s main differentiators. With SAFR Actions installed on any computer and connected to SAFR Cloud or Server, it is possible to efficiently monitor recognition events.<\/p>\n\n\n\n

    These actions can be triggered based on a wide range of attributes associated with each recognition event, such as the type of person identified, the ID class (such as threat, concern, or stranger), the location (building), and the camera source used.<\/p>\n\n\n\n

    The possible actions are diverse and customizable, allowing the user to configure specific responses for each identified scenario. Some of the possible actions include sending an email, unlocking a door, or even triggering an alarm.<\/p>\n\n\n\n

    This flexibility in triggering actions is especially valuable in environments where security is a priority. Upon detecting a recognition event, the system

    Applications<\/h2>\n\n\n\n

    The Facial Recognition offered by SAFR has a wide range of applications that make it a powerful and versatile tool for various fields. One of the main applications is access control, especially at a time when the need to avoid touching surfaces is essential for public health.<\/p>\n\n\n\n

    Additionally, SAFR is an excellent option for the retail sector. It can be used to perform people counting, monitor space occupancy, analyze customer sentiment and gender, and also enables the recognition of important individuals, such as VIP customers or public figures.<\/p>\n\n\n\n

    An additional advantage is the complete integration of SAFR with VMS (Video Management System) software. This integration allows direct management on the VMS platform, using inputs from the facial recognition analytics to automate tasks and enhance the efficiency of the monitoring system.<\/p>\n\n\n\n

    In this way, SAFR becomes a complete and intelligent solution that can be applied in various contexts, from commercial establishments and educational institutions to large transportation hubs, contributing to security, process optimization, and informed real-time decision-making.<\/p>\n\n\n\n

    Demo Video<\/h2>\n\n\n\n
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