Hello, we are Mobilio, a company that pursues zero safety accidents in industrial sites with AI-based CCTV solutions. As the temperature rises from last week, the rising of heat will be a signal for the coming summer. In summer, it is also a time of increasing safety accidents caused by increased fatigue and decreased attention among workers due to heat. We hope that both companies and workers will put more effort into making it safer.

In the previous ‘Using Computer Vision Technology to Prevent Safety Disasters’ post, we explored in detail how computer vision technology can be used to prevent safety accidents. This technology is an omni-directional technology that can be applied to many tasks such as safety accident detection, product tracking, and facial recognition. Facial recognition technology is especially applicable to security tasks that control only authorized personnel access to workshops, key facilities and equipment, making it more useful. Today, we’re going to summarize the highly utilized facial recognition technology.

Principles of Facial Recognition Technology

Most of the facial recognition technologies currently in use are developed based on the concept of a ‘collaborative model’. It is a method of comparing an object (mainly a person) image taken with a camera at a fixed distance to the image stored in the database to determine whether it is the same person. As those who have visited overseas, especially the United States, know, these systems are widely applied to immigration control and security systems.  It is a non-cooperative method that recognizes the face of a particular person among many people. As you can easily think of, it’s a very difficult technology to recognize moving objects as well as different facial angles, distance, lighting conditions, and accessories (hats, glasses, etc.). However, it has already been commercialized. Facial recognition technology uses features such as skeletal data, spots on the skin, eyelashes, wrinkle, and so on to construct statistical models of faces and recognize people.

Facial Recognition Structure

Various use cases of facial recognition technology

Nowadays, we often see companies that operate access control or commuting management systems using individual fingerprint data (biometric). Facial recognition is one of the biometric-based technologies. However, facial recognition has more than just biometric technology. The value and potential of facial recognition technology has been recognized in many businesses and in the public sector of many countries, and the use of this technology is under consideration. The UK and China are considered to be leading in terms of the use of social safety nets in facial recognition technology. Of course, there are many voices of opposition concerning the emergence of Big Brother in George Orwell’s 1984 novel.

Survey on the use of facial recognition technology (2018)

However, as shown above, there is a higher percentage against the question of whether social use of facial recognition should be restricted. As a result, many businesses and societies are more actively looking to integrate facial recognition technologies into their existing infrastructure. There are side effects, but there are more positive effects. And this phenomenon is accelerating with the incorporation of artificial intelligence (AI) into facial recognition technology. The areas where face recognition technology provides value include:


1) Utilize various marketing activities

It is the marketers of the enterprise who make full use of facial recognition technology. For example, they are using this technology to count the number of people viewing advertisements or displays in stores, distinguish between gender and age groups, and create various data such as the time we saw advertisements. This data is effectively used for target marketing and advertising. An Australian company is applying this technology to baby product marketing and increasing efficiency by reducing advertising costs by exposing advertisements only when mothers with babies approach them. In marketing powers such as the United States, it is often referred to as generalized technology.


2)  Staff and Visitor Verification

When visitors access corporate buildings or facilities, AI based facial recognition system compares and checks the actual faces with the registered face database to determine whether he or she is the same person. After the facial recognition system confirms the visitor, the results of the meeting will be handled by the scheduled staff or the access control system.


Access control is simpler because AI-based facial recognition systems can be used to train the system to recognize all employees as authorized objects. However, there remains the task of incorporating their own unique authentication processes into each enterprise. A growing number of companies are applying multi-factor authentication schemes (how to go through multiple authentication tasks) depending on their business characteristics. Implementing this framework effectively manages the problems of absenteeism and tardiness that can occur as companies grow and employees grow. It can fundamentally block problems such as overtime manipulation that are often posted in the media. And it’s more important to be able to significantly increase security for key facilities and assets.


3)  Strengthen customer service using facial recognition technology

Facial recognition technology can be used to improve customer service qualities. For example, when a VIP customer with a high percentage of revenue visits a store and automatically recognizes the customer and allocates a customer manager immediately, or provides the customer with the service they ordered, resulting in greater loyalty. If this service process is running smoothly, your company will be a customer-centered company without the phrase customer-first service..


4)  Security enhancement

Security would benefit the most from using facial recognition technology. Tracking employees and visitors can help identify possible problems and properly manage visitors to important facilities. Global competition and fierce information warfare require systematic security system to protect employees and assets across industries.

AI-based facial recognition technology can automatically recognize a given task and perform a set of actions. For example, you can set up an alarm to alert you to a fire or to recognize people in the fire’s location and forward the situation to 119 for rescue. This technology can be applied to CCTVs that are already in operation to implement a 24-hour monitoring system while maintaining the existing labor costs.


5)  Target recognition with high accuracy

If you look at the news related to the crimes or incidents, you often find that the target is recorded on CCTV or vehicle’s black boxes, but the investigation is not carried out properly because it cannot be properly identified due to the quality of the image or lighting issues. AI-based facial recognition technology is being used as a right tool to compensate for this problem. Through this, it strengthens the social safety net and reduces the possibility of crime.

Mobilio Co., Ltd. specializes in safety accident prevention solutions.





#SafetyAccident#PreventiveMaintenance#SafetyDisaster#AIcctv#ArtificialIntelligence#saftetyaccidents#accesscontrol #AICTVSolution#FaceCognition#FaceCognitionTechnology#aibasedFaceCognition#securityenhancement

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