The Basics & Practice of Face

Recognition for Business

Facial recognition use cases has gone far beyond what we are used to. Unlocking smartphones in good, but what other challenges can be accurately resolved by the technology? As we focus on industrial businesses, let's go through the main insights here.

The topic of face recognition doesn’t need an explanation today. Everybody knows about it at least since 2010, after Facebook has implemented tagging on images using face recognition. Nevertheless, many people are still surprised to hear that face recognition has existed already almost 60 years. Woodrow Wilson Bledsoe has made early contributions to developing in the 60s, but his invention has not become very popular during the next years till the early 2000s. The situation has changed during the last 20 years, and now the market for face recognition applications is booming.

The field for using this feature is huge. For example, in customer service.

Airlines are already using face recognition instead of traditional pass control by boarding, which means no more problems with lost boarding passes. Since 2016 in Atlanta Airport exists an exit face recognition system.

Even more crucial is using face recognition for crime prevention. 2014 in Southern California was already announced that criminal face recognition data will be shared with local, state, and federal agencies.

Since the 2017 face recognition access control function on iPhone X makes this phone a bestseller. Now over 150000 facial points of measurement are available, even profile images can be recognized to distinguish the identity.

Facial Recognition for Security

Security and safety are the most popular purposes to use facial recognition features in manufacturing.

Let’s start with security. If the business needs to protect sensitive equipment from people who don’t have access to use it, facial recognition can help to identify everyone on the factory floor. Additionally to managing the access control, facial recognition technology can help employers to track work hours of the employees. 

If security requirements allow it, facial recognition can replace codes, key cards, or other forms of access control completely. If the business requires a stronger security level, face recognition can be used along with access cards or codes to prevent rules violations. For instance, when unauthorized people follow somebody with a card going through an open door, or when workers share keys or access codes.

How does it work? For instance, an Access control system based on face recognition is such a video analytics solution that enables you to improve access control for your institution. The application allows automated observation and tracking of people in the monitored area in real-time. The application also has access to additional personal information such as a qualification level, access to secured areas, working hours, permission to use sensitive equipment or to perform updates and modifications.

This automated solution can be used also for a faster check-in for work every morning and for minimizing safety violations, such as borrowed or shared ID cards. The exclusion of human factors allows the working process to be safer and better organized.

For example, any case of injury can be traced to identify what caused it, to avoid misinterpretation in case if it comes to litigation. Real-time monitoring and automated alerts allow safety engineers to spend less time on the worksite to focus more on new safety drill routines. The solution allows improving security protocol compliance in order to prevent security violations and reduce manufacturing risks caused by human factors.

Key Features

  • Data security thanks to cloud storage and processing (ISO 27000)

  • Adaptable to different lighting conditions

  • Compatible with state’s or company’s safety regulations and security protocols

  • Distinguishes photos from real faces to avoid cheating

  • Real-time analytics and alerts

  • Compatible with any high-resolution camera

  • Pre-packed and ready to use

Facial Recognition for Safety

If workers are obliged to wear Personal Protective Equipment at the workplace, facial recognition helps to control it automatically and to alarm the responsible person in case of violations.

For instance, the PPE Monitoring system is an AI-based software that analyses video streams from CCTV cameras. The algorithm cheques workers on the accuracy of wearing protective items (Coat, Glasses, Glove, Mask, Helmet). When somebody doesn’t wear the PPE, the system can identify it and send an automatic notification to a safety engineer. It improves safety at the workplace and allows to decrease the injury rate. The solution can be very useful for different locations such as building sites, fabrication lines, steel, oil & gas enterprises, and other industrial environments where safety rules should be strictly followed.

Why do you need an automated solution for PPE monitoring? Of course, all this can be also performed by a safety engineer manually but it takes a lot of time and effort. Additionally, human observation is less stable and accurate, because people can not focus their attention for a long time, they get tired and can be injured easier. When monitoring is not good enough it can often provide injuries as well.

Monitoring in real-time allows us to research each case and to see all details to avoid misinterpretation in case litigation or court. Real-time monitoring and automated alerts save time of controllers as well.

Facial recognition tools are easy to implement. All you need is a stable network, CCTV, and lighting.

But how to combine using facial recognition with data security? There are different points of view on this. Some people say that facial recognition is much better than fingerprint, iris scan, and other types of biometrics. Others are still against using it. According to the statistics of the Center for Data Innovation, each fourth American citizen would recommend limiting the usage of facial recognition technology.

Both solutions, the Access control system based on face recognition and PPE Monitoring system are trained on the dataset manually selected and annotated by  VITech Lab which is an R&D division of VITech company. Top healthcare and manufacturing brands have been working with VITech since 2008. Those machine learning solutions are ready to be implemented very quickly and be customized to fit additional customer requests.

Thank you for reading! 

Feel free to rate the article: