Top AI Facial Recognition Business Applications

Top AI Facial Recognition Business Applications

Facial recognition technology is gradually making its way into our daily lives. It hasn’t obviously peaked yet, but already got plenty of business applications. Previously we mentioned just a few of them, plus covered the very basics of the technology there. Now let’s fully explore the topic. 

Facial recognition is still considered an emerging technology while a bunch of organizations already leveraged it – from social media to security. More businesses and governments consider applying facial recognition, and computer vision technology becomes an essential part of their strategy.  

Finding missing people 

Police use facial recognition for finding missing children and disoriented adults. CCTV systems with face recognition functions enable operators to add a missing child photo and match it with images previously captured on video. Police employ this technology for video analytics of the place and time where a child was last seen. 

Also, facial recognition allows tracking all the movements of the missing child or disoriented adult, triggering a real-time alert when a match is found. 


Tracking criminals and preventing crimes 

Facial recognition AI helps in identifying and tracking past criminals or suspects. Police operators can detect criminals, matching their photos from a database with live video, and take immediate actions in case of a match. 

Helping clinicians to make accurate diagnoses 

Facial analysis has already been helping healthcare professionals and clinicians in making accurate diagnoses for a while. For example, 22q11.2 deletion syndrome (genetic disease) is the most common microdeletion syndrome and is underdiagnosed in diverse populations. This syndrome has a variable phenotype and affects multiple systems, making early recognition imperative. 

Clinicians employed facial recognition to diagnose that disease in the early stages with a success rate as high as 96.6%. 

Looking to Develop a Robust Facial Recognition App? 


Tracking and control of attendance 

Tedious and time-consuming methods for taking attendance, like calling names, or making manual records are totally outdated. Leveraging facial recognition technology for attendance tracking and control has numerous benefits: 

  • less manual work, 
  • more accuracy, 
  • zero chances of manipulating with manual records, 
  • cost-efficiency, and more. 

IEEE (Institute of Electric and Electronic Engineers) proposed a student attendance system based on face recognition: 

“The proposed system makes the use of Haar classifiers, KNN, CNN, SVM, Generative adversarial networks, and Gabor filters. After face recognition attendance reports will be generated and stored in excel format. The system is tested under various conditions like illumination, head movements, the variation of distance between the student and cameras. After vigorous testing overall complexity and accuracy are calculated. The Proposed system proved to be an efficient and robust device for taking attendance in a classroom without any time consumption and manual work. The system developed is cost-efficient and needs less installation.”


Deriving Marketing Insights 

CCTV cameras in retail stores + Facial recognition technology make it possible to analyze shoppers and derive varied insights: 

  • detecting shopliftersSaks Fifth Avenue (the American department store) is already using such a system, 
  • cashless paymentsAmazon Go stores are already using it, 
  • customers counting – to find out a store’s popularity within customers of different demographics, 
  • glance time – to get the insights about a store or a product appeal to customers, 
  • customer greeting – this feature enables a store’s staff to greet loyal customers and provide them with the relevant service, 
  • targeted advertising – a camera placed near an ads screen detects the gender and age of a customer and offers the relevant ads then. 

Apple, Lowe’s, Albertsons, Macy’s, and Ace Hardware are already using AI facial recognition for different purposes. And more giants are planning to use it in the future, according to TheVerge: McDonalds, Walgreens, and 7-Eleven. 



For quite a while now, Innohub’s team has been engaged in developing a few AI Facial Recognition solutions, related to access control, law enforcement, but not only. 

Our team had all the time and opportunity to evaluate the Face Recognition and Computer Vision technology’s tremendous potential. When it comes to public security (conference/subway security, surveillance detection, etc.) and other security-related applications, there’s no technology like facial detection.  

If you are planning to make whatever you do safer by bringing into play the Facial Recognition AI technology, look into its possibilities closely with the help of Innohub’s AI experts, and that might exceed your expectations.