Why is facial recognition as an identifier the ideal choice for access control?
In the area of access control, facial recognition has come a long way. Once considered too slow to authenticate people’s identities and credentials under heavy traffic conditions, facial recognition technology has evolved into one of the most popular access control identity authentication solutions. fastest and most efficient in all industries. Advances in artificial intelligence and advanced neural network (ANN) technology from industry leaders like Intel have improved the accuracy and efficiency of facial recognition. However, another reason the technology is gaining traction is due to the growing demand for contactless access control solutions that can help mitigate the spread of disease in public spaces. Effective for high volumes Facial recognition eliminates security risks and is also virtually impossible to counterfeit Modern facial recognition technology meets all the criteria to become the go-to solution for frictionless access control. It provides an accurate, non-invasive way to authenticate the identity of people in high traffic areas, including multi-tenant office buildings, industrial sites, and factories where multiple shifts per day are common. Typical electronic access control systems rely on people providing physical identifying information, such as proximity cards, key fobs, or Bluetooth enabled cell phones, all of which can be misplaced, lost or stolen. Facial recognition eliminates these security risks and is also virtually impossible to counterfeit. Affordable Biometric Option While there are other biometric tools available, facial recognition offers significant benefits. Some technologies use hand geometry or iris scans, for example, but these options are generally slower and more expensive. This makes facial recognition a natural application for daily access control activities, including chronicling the weather and the presence of a large workforce on construction sites, warehouses and farm operations. and mining. In addition to verifying personal identifying information, facial recognition can also identify whether a person is wearing a face covering that complies with government or company mandates regarding health security protocols. Beyond securing physical locations, facial recognition can also be used to manage access to computers, as well as specialized equipment and devices. Overcoming Challenges With AI So how did facial recognition become so reliable when the technology once faced so many challenges, including difficulties with camera angles, certain types of facial expressions, and various conditions? ‘lighting ? Thanks to the emergence of algorithms based on so-called “convolutional” neural networks, engineers have been able to overcome these obstacles. Facial recognition solution SecurOS FaceX FaceX is powered by neural networks and machine learning, making it capable of authenticating a wide range of faces A joint effort between New Jersey-based Intelligent Security Systems (ISS) and the technology giant Intel has created the facial recognition SecurOS FaceX Solution. FaceX is powered by neural networks and machine learning, making it capable of authenticating a wide range of faces and facial expressions, including those captured in changing light, at different resolution levels and at different distances from the video camera. Secure Video Management System Deployment of a common facial recognition system begins with IP video cameras that feed a secure video management system connected to a video archive. When the software initially registers a person’s face, it creates a “digital descriptor” that is stored as a digital code that will always be associated with an identity. The system encrypts and stores these numeric codes in an SQL database. For convenience and cost reduction, the video server processor performs all neural network processes without the need for special GPU cards. Unique digital identifiers The next step is to correlate the faces captured in a video recording with their unique digital descriptors in the file. The system can compare the newly captured images with large databases of known individuals or faces captured from video streams. Facial recognition technology can provide multi-factor authentication, searching watchlists for specific types of characteristics, such as age, hair color, gender, ethnicity, facial hair, glasses , headgear and other identifying features, including bald spots. Strong Encryption SED-compatible drives rely on dedicated chips that encrypt data with AES-128 or AES-256. An additional layer of encryption is available through the use of Self-Encrypting Discs (SEDs) that contain video recordings and metadata. SED-compatible drives rely on dedicated chips that encrypt data with AES-128 or AES-256 (short for Advanced Encryption Standard). Identity Theft Protections How do facial recognition systems deal with people who try to trick the system into wearing a costumed mask or holding up a photo to hide their face? ISS FaceX, for example, includes anti-spoofing capabilities that essentially verify the “vividness” of a given face. The algorithm can easily signal the flat, two-dimensional nature of a face mask, printed photo, or image on a mobile phone and sound a “spoofing” alarm. Speeding up entry speed Integrating facial recognition into existing access control systems is simple and cost effective Integrating facial recognition into existing access control systems is simple and cost effective. The systems can operate with security cameras and commercial computers. Users can also take advantage of existing infrastructure to maintain the aesthetics of the building. A facial recognition system can complete the detection and recognition process in an instant, opening a gate or turnstile in less than 500ms. Such efficiency can eliminate the hours associated with verifying and manually managing credentials by security personnel. A Vital Tool Modern facial recognition solutions are infinitely scalable to adapt to global businesses. As a result, facial recognition as an identifier is increasingly being implemented for a wide range of applications that transcend traditional access control and physical security to include health security and workforce management. of work. All these features make facial recognition a natural and fluid solution to manage access control, both in terms of performance and cost.