Artificial intelligence in security is one of the fastest growing tech markets. Currently valued at US$5 billion it is expected to reach US$14 billion by 2026, a CAGR of 18.64%. COVID-19 has shaped the future of the security sector by increasing the demand for contactless facial biometric technology to lower health risks and reduce unnecessary labor.
This article shares the key considerations of deploying facial recognition in security and surveillance systems and includes our recommended solutions.
There are many benefits of facial recognition technologies. One of the most common applications is security and surveillance. Facial recognition technology increases efficiency and reliability with real-time monitoring to avoid human error. Organizations can even use facial recognition for pandemic control.
Facial recognition performs real-time identity verification when a person (e.g., an employee) enters a venue. Advanced facial recognition software like FaceMe Security integrates with time and attendance systems to automatically track and report employee clock-in/out history.
Traditional security systems require security guards to observe the premises and oversee all movement in order to verify guests and catch intruders. Facial recognition software verifies identities by mapping the facial identity of the person and providing real-time alerts when restricted persons enter an area, avoiding human error.
When a criminal event occurs, e.g., theft, security guards must locate a suspect quickly. Security guards can use facial recognition software, such as FaceMe Security, to search for the person and follow them across different security cameras on the field.
In the post-pandemic era, mask wearing or body temperature readings may still be required at specific venues, like hospitals, clinics, or drugstores. However, masks can be problematic when using facial recognition to perform tasks like unlocking your iPhone and effectively utilizing surveillance and security systems. A modern facial recognition system, such as FaceMe Security, recognizes a person's identity even when the person wears a mask – with over 98% accuracy. Read more about how facial recognition keeps workplaces healthy and safe.
When adding facial recognition to existing systems you must first define some key constraints and success factors required for deployment. Such as, what type of system architecture to use; whether you should keep, upgrade, or replace hardware and software components such as security cameras and servers; and what data to maintain and where — at the edge, on local servers, or in the cloud.
You will also need to ask other essential questions in choosing and developing your ideal video surveillance system, including:
Developers designing the system architecture for a security and surveillance solution must first determine the array of events, time constraints, and notification settings needed to create the best system for each unique deployment scenario. Below are a few factors to consider.
The first step in designing a high-performing system architecture is determining the video source. Besides camera placement, identify if you will pull the video stream directly from IP cameras using RTSP, or interface with an existing video management system (VMS).
Video format is another important factor. Traditional IP camera systems use H.264/MPEG-4 as their primary format, while newer models may support H.265/HEVC reducing file size by approximately 70% and saving storage space on your NVRs (Network Video Recorders).
Assess existing infrastructure to determine how to integrate facial recognition technology. Factors such as real-time processing, and deployment scope, will help determine if you will process content on a centralized server or use a workstation and send results to a central server. In the latter scenario, an organization may have a workstation in California, Florida, and Texas, all communicating with the central server in California.
Facial recognition software like FaceMe Security is compatible with existing IP surveillance setups, including NVR, VMS, and IP cameras. You can add workstations equipped with AI processing capabilities (GPUs, VPUs, or APUs and FaceMe Security software) to upgrade existing systems with facial recognition functionality – with only 15 to 20% in additional costs.
CyberLink is a pioneer in AI computing and facial recognition technologies, built on solid knowledge and long-standing leadership in digital media solutions. CyberLink’s FaceMe is the best facial recognition solution, known for its accuracy, flexibility, and performance optimization.
FaceMe SDK is a cross-platform engine, available for Windows, Linux, Android, and iOS. System integrators have total flexibility when deploying facial recognition technology in many solutions, including security and surveillance. However, to develop a tailor-made solution, resources, time, and engineering effort are needed. In many circumstances, a ready-to-use turnkey solution is more suitable.
FaceMe Security is such a turnkey, value-added facial recognition solution. It enables facial recognition functionalities on top of existing IP surveillance deployments – such as PCs, workstations, servers, VMS (video management systems), and most importantly, IP cameras.FaceMe Security can conduct various tasks from identity verification to visitor check-in, employee attendance-taking, mask detection, real-time monitoring, and alert notifications.
As a plug-and-play software package, FaceMe Security is a perfect option for well-defined use cases with quicker timelines. It is preset to accommodate typical security application scenarios and is highly scalable. What's more, it's suitable for single and multi-camera scenarios, as well as multi-location deployments.
Most security setups contain VMS (video management systems), allowing security guards to simultaneously monitor videos from multiple cameras. However, most of the VMS available for the market don’t support facial recognition out-of-box, requiring add-ons to integrate facial recognition functionality.
FaceMe Security supports mainstream VMS, including Milestone, Network Optix Nx Witness, and VIVOTEK VAST2. Integration gives FaceMe Security the ability to send real-time notifications to supported VMS systems when needed, such as alerting the arrival of VIPs, people of interest, or employees, or when a person is not adhering to mandated health protocols.
FaceMe Security is customizable and expandable with several add-ons. For example, you can have health measurement stations dispersed around a facility, clock-in/out interfaces at entrances and exits, and central monitoring interfaces in security rooms.
Large scale surveillance systems typically integrate VMS to handle user databases, perform live monitoring, send real-time notifications to hosts, clock-in employees, and send alerts to security guards upon detecting a block-listed individual. FaceMe Security is available with a VMR Add-on to handle surveillance activities when no VMS is available. The VMR Add-on includes the following:
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The FaceMe Health Add-on is a complete health monitoring solution crucial in preventing the spread of Covid-19 by performing the following:
Employers, retailers, schools, and other facilities can utilize the Health Add-on to reduce virus transmission and protect people’s health.
FaceMe Security's Check-in Add-on plays a significant role in security access and control. It can be deployed in employee attendance systems to clock in/out and restrict access in facilities by integrating with door lock systems.
FaceMe Security's comprehensive features, add-on solutions, and flexible deployments for various environments make it the highest value plug-and-play facial recognition solution for security today.
Facial recognition will continue to grow in popularity as the most accurate and efficient technology for security. However, with such a fast growing market it can be challenging to know the best option for you.
Certain core factors, like accuracy and speed, are critical considerations regardless of use case. Other important factors are flexibility, scalability, feature sets, and cost. Also, for ethical reasons, it is important to run a reputably tested and highly accurate solution. Be sure to thoroughly research the history and background of the company behind the software you choose. Facial recognition is powerful technology, so the vendor and software you select must be tested, trusted, and reputable.
To learn more about FaceMe Security, please visit the FaceMe Security website or request a free demo today!
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