Efficient Anti-tailgating Using AI
Published on : April 2, 2020
What are the benefits of AI-based anti-tailgating systems?
- Enhanced security
- Prevention of theft
- Increased visibility
- Better safety
Security is probably the most sought-after condition across many establishments throughout the world. Without security, unauthorized persons would be able to gain access to confidential information. As such, many establishments procure the services of a third-party security provider in order to heighten the level of security in their area. They may particularly employ the use of AI anti-tailgate systems to prevent other people from entering an otherwise secure location.
Simply put, the act of tailgating or piggybacking is defined as a physical security breach. This refers to when a person illegally enters the premises of a particular location, precisely because they were able to follow that person inside the building. While there are many methods of preventing these instances from happening, one cannot deny the importance of procuring the services of a third-party anti-tailgating purveyor.
If you want to learn more about the benefits of AI-based anti-tailgating systems, continue reading.
Perhaps one of the most common forms of physical anti-tailgating systems that one could see in most establishments is the turnstile. Depending on how the turnstile is able to operate, the general idea is that only persons with the appropriate credentials are able to pass through these barriers. For example, office buildings may employ the use of fingerprint turnstile technology.
In this way, only those who have been registered in the system would be able to gain access to the facility. While fingerprint scanning is not a relatively new phenomenon, it can be incorporated and utilized alongside advanced AI technology in order to make their security effects more efficient. This enhanced security measure can be combined with other security practices like the placement of CCTV cameras or electronic locks. This is in order to prevent further entry of unauthorized individuals.
The more advanced modes of anti-tailgating systems don’t necessarily have to be used in combination with other high-tech systems. They could also be coupled with traditional forms of security such as that of a security guard who can keep watch and monitor the environment closeby.
Prevention of Theft
Once unauthorized persons are able to take advantage of a poorly-implemented anti-tailgating system, they may not only present further security breaches, but they may also be presented with the opportunity to steal confidential material. This kind of situation is not only disastrous for the business’s security as well as financial outcomes, but it can also potentially endanger the employees whose personal data might be illegally accessed.
As such, another benefit of utilizing AI-based systems in anti-tailgating is that it prevents instances of further theft from occurring. As mentioned before, anti-tailgating security measures should be used in conjunction with other best security practices. To give an example, let’s say a non-employee has gained primary entry into a building. A robust AI-security system would be able to prevent him from further entering areas containing sensitive information.
These areas might utilize facial recognition technology in order to identify the culprit. What happens next is an instantaneous set of processes that function in order to alert the building’s security management of the breach. The person would not only be prevented from physically accessing the room but also the additional AI-security measure digitally prevents them from getting anywhere near the location.
The problem with poorly-designed and poorly implemented security systems is that they fall short with regards to increasing the visibility of security breaches. For example, establishments that mainly rely on outdated sensors and alarm systems wouldn’t be able to notice that these sensors might encounter a defect at some point. Coupled with poor maintenance and security checks, the building is basically a disaster waiting to take place.
With AI-based anti-tailgating, users would have easier access to areas where AI security components are located. These may come in the form of advanced cameras, sensors, and trigger alarms. Through a robust and fairly intuitive interface, they would be warned as soon as the breach has occurred, thereby intercepting the person in the act.
With the increased visibility, the users would also be able to identify the perpetrator easily, enabling the former to report the incident to the proper authorities. When it comes to security, direct and swift action can make all the difference in preventing highly undesirable outcomes.
Aside from the protection of highly-confidential information, AI-based tailgating systems also enable better safety among an establishment’s staff and employees. These systems are preventative and interceptive in that they’re to quickly provide the users with information enabling them to act on the security breach.
For example, a robust in a bank would allow such an establishment to avoid getting robbed and threatened with firearms by armed robbers. This is a fairly common situation not only in films but also in real life.
Of course, this is not to say that machines are the end-all-be-all when it comes to preventing cases of loss of life or damages onto another person. This simply means that they’re able to help in the protection and the preservation of life. The most sound piece of advice is to always couple AI anti-tailgating systems with the best physical security practices.
AI anti-tailgate systems have allowed establishments to protect sensitive data as well as the lives of their employees. These kinds of systems may come in different forms such as alarms, sensors, facial recognition technology, and the like. However, one cannot deny that they have all been uniform in their goal: the prevention of major and minor security breaches.
The guide above has hopefully equipped you with adequate information on just some of the advantages of investing in AI-anti-tailgating systems.