Global 
United States 
Artificial Intelligence and Machine Language form the underlying foundation for machines to become capable of thinking, sorting useful data and acting like human beings. The umbrella of AI encompasses Computer Vision (CV) and Deep Learning (DL) techniques which are the basis for developing Facial Recognition (FR) technology.
Deep diving into the role of CV in this technology, one observes that along with AI, it allows the Facial Recognition model with biometric technology to retrieve information from videos, images and visual forms of inputs provided by the scanning firmware. This is followed by sorting of useful information from the captured and processed data for AI based recommendations on identifying human faces through nodal point measurements (distances and patterns in facial features) in real-time. In pursuit of a behavior similar to human vision, face recognition using OpenCV assists in distinguishing between facial characters, distance between people under observation and much more in fractions of seconds, by using cameras, historical or training data and DL algorithms to verify an individual’s identity. Facial recognition market across the globe was valued at USD 4.35 billion as of 2019 and is expected to increase at a CAGR of 14.8%, to reach a market value of about USD 19.92 billion by 2032.. [Fortune Business Insights]
Applications of Facial Recognition Technology
Computer vision services powered Facial Recognition have led to astonishing advancements during the last decade. Let us go through a few real-world applications of this remarkable technology:
Device Authentication
In this era, every individual is connected with people across the globe through their personal devices. It is because of their features including security options, that smartphones, tablets and laptops have become inseparable parts of the population. With increasing knowledge about the know-how of their working, hacking of the same has become a common phenomenon, which although can be tackled effectively by implementing features like lock & transaction authorization using facial recognition.
This makes it easier for the users to access their respective smartphones etc. devices without having to memorize swipe patterns, passcodes or so alongside the extra layer of convenience and security. Similarly, in the case of automobiles, hotel rooms, offices and home security systems, RFID and facial recognition based systems can be used to grant access to IoT enabled locks, keycards and automatic doors for safety.
Patient Management
Electronic Health Record systems are finding their way across various hospitals in the world for patient identification through facial signature recognition for accurate matches and avoiding errors and fraudulent cases. Patients can be prescribed treatments swiftly and checked for compliance with the same throughout the process.
Moreover, if a COVID-19 or critically-ill patient shows uneasiness or other symptoms, these can be detected using this technology and professionals can be alerted. OpenCV face recognition based systems also plays an important role in assisted living centers where patient safety and premise security are of prime importance, for example, if a patient wanders off the facility without any identification, facial recognition can be used to identify them.
Shopping Experience
Retailers try to enhance customer experience for analyzing customer behavior and optimizing store layouts. This can be done by using facial recognition to form marketing strategies around customer demographics, avoid shoplifting (and even categorizing prone areas) and detect fraudulent transactional activities, thus, ensuring safe retail premises and building customer loyalty. Now-a-days, vending machines are integrated with AI based drinks recommendation systems that recognize customer faces, and suggest products based on their approximate age, gender and expressions. With facial recognition tech, advertisers can assist retailers in measuring audience engagement, advertisement effectiveness and tailoring better campaigns for increasing ROI, through viewer’s demographics and sentiment responses over billboards, POP ads, banners etc.
Adding to enhanced user satisfaction, another major facility that retail stores offer includes self-checkout kiosks. Other than showcasing product recommendations as per user’s purchase history, these kiosks consist of facial recognition based sensors that summate the amount according to the products picked by the customer, making it a hassle-free experience for them. These also perform people counting and waiting time analysis to avoid crowding in stores, especially during COVID-19 times. While people can also use facial recognition tech to identify, tag their acquaintances and organize their pictures for easy pic sharing.
Law Enforcement
We are all aware of the application of facial recognition systems in securing places of importance such as airports, railway stations, government premises and industrial factories. This technology can be used to detect suspicious or dangerous activities in real time by comparing facial signatures of suspects with formerly created databases and tracking them, such as in case of national border security.
FR technology is extensively integrated in government and private surveillance cameras for monitoring large scale public events like matches, political rallies, malls, educational institutions, public transports, stadiums etc., for ensuring public, staff, employees, students’ safety, tracking attendance, and crowd management. Especially during emergencies of terrorism or acts of crime, suspects can be quickly identified with facial recognition technology.
Moreover, with the development of smart cities surging across the globe, it has now minimized traffic accidents through traffic flow monitoring, violation issuance/penalties and identifying culprits in hit-and-run cases. Governments can now assure people with maximum chances of finding missing persons and maintaining order in public places, with quick alerts, personnel deployment and control via facial recognition systems.
Quality Management
Distance detectors with facial recognition technology can assure that safety precautions are adhered to. These cameras identify employees or customers and make sure that they do not enter restricted areas or loiter. Their movement is monitored across the premises and depth cameras are used to detect and verify safe distances between workers with respect to machine functioning, productivity rules and even COVID-19 precautionary measures.
These systems can assist companies and factories in meeting customer demands and quality requirements by addressing their instructions, policies and quality processes by their employees. The FR systems can identify and demarcate red and green circles over employees not adhering to policies such as wearing protective gear and maintaining distance etc. and vice versa. Another major factor in quality management is optimal performance and industrial production through assembly line operations, which can also be monitored and evaluated using this technology post employees’ training. After product assembly, quality inspection softwares or machines can be trained for asset quality and defects tracking at the speed of tens of thousands of products per hour.
How KritiKal Can Assist You?
With KritiKal, you can grasp the opportunity to stand out in the competitive market by leveraging our state-of-the-art AI based facial recognition services that can be applicable across various industries, as well as proficient and skilled engineers for timely deliveries. We provide enhanced and real-time insights into customer sentiment analysis, theft, crime and infringement prevention, access management and on-premise security in banks, visitor face recognition and registration, geo fencing in VIP areas, FR based automatic engine ignition, learning applications for musical instruments, people counting etc. through our FR technology, that can integrate with your database and conduct facial signature analysis within milliseconds accurately even if images are obtained with low resolution and in wide-angle.
Conclusion
Facial Recognition technology is helping people all over the world in multiple applications. It has become more efficient, versatile and accurate over the years and is showcasing a tremendous transformative impact across varying sectors. KritiKal can offer you with commitment and continuous innovation while you leverage our 21+ years of experience in developing such custom computer vision development services with respect to your goals and requirements. Let us assist you in embarking this journey of success. Please call us or mail us at sales@kritikalsolutions.com to avail our services.
Anustha currently holds the position of Senior Software Engineer at KritiKal Solutions. She excels at software solution implementation, coding, team managment as well as strategy implementation. She has dedicatedly helped KritiKal in delivering various projects through efficient planning, coordinating, and implementing practices and procedures that bring significant improvement in software engineering process.