5 Facial Recognition Technology Trends and Market Predictions
Author: huifan Time: 2021-02-09
The global digitization of consumer and business data has severely affected the adoption of facial recognition terminal technology. Today, AI-based computer vision services are entering a diversified business to provide enhanced protection, personalized customer service, accurate video analysis, and more. According to Component’s facial recognition market report, by 2024, the facial recognition industry is expected to reach $7 billion in the United States. Therefore, it is essential for the next generation of enterprises to use the potential of facial recognition technology to ensure better safety and efficiency.
This blog post focuses on the latest trends and developments in the facial recognition device space and market.
1) Adjust air travel
Facial recognition technology is rapidly replacing ID cards and boarding passes in major airports in Europe, ISA and the United States. To this end, government authorities are using a huge database of citizens (including images, videos, and records) to identify people at checkpoints.
This is how the machine learning algorithms behind facial recognition technology are changing the way airports operate-
a) The facial recognition system uses a pre-established passenger photo gallery to shorten the boarding time of passengers from hours to minutes.
b) Security cameras and video analysis functions can be combined to identify luggage and unattended luggage more easily and efficiently.
c) In addition, security cameras with built-in facial recognition systems can detect criminals and prevent illegal activities through real-time threat detection alerts.
2) Innovative smart phone functions
Although AI ventures to use smartphones with facial recognition security lock systems, the technology is still in its infancy. The technology is facing demographic challenges, including racial discrimination and privacy issues.
In order to profit from the mass adoption of smart phones, companies can use facial recognition to support the following smart phone functions,
a) The popularity of social media platforms has greatly promoted the introduction of AI-based augmented reality systems in smartphones. Companies can use this opportunity to connect remote customers with live events to achieve real-time participation and brand awareness.
b) The use of facial recognition access control codes can make online transactions via smartphones more secure and effective. It eliminates the need for time-consuming KYC processes and biometric verification, which prevents users from making final transactions.
3) Enhance e-commerce shopping experience
The emergence of artificial intelligence in the e-commerce industry began in the form of product recommendations, that is, tracking users' shopping behavior. However, with the development of computing power and artificial intelligence services, leading e-commerce companies are deploying machine learning solutions across vertical industries.
E-commerce business can accelerate growth through facial recognition technology,
a) The facial recognition system can now export customer sentiment and sentiment analysis to provide more personalized and appropriate product recommendations.
b) In addition, face ID may be a potential future for cardless transactions. Global giants such as Amazon have invested in
to provide a faster, safer and worry-free buying experience.
|face recognition terminal|
4) Self-disciplined car
The AI-powered facial recognition system in the car is the first step towards achieving the goal of a fully driverless car. In the development stage, facial recognition can automatically realize the following car functions while providing security protection,
a) Record and investigate the driver’s 3D facial recognition impressions to monitor blinks, head movements and other signs of drowsiness. The system then triggers audio and video alarms to regain the driver’s attention and prevent accidents.
b) In addition, auto companies can use facial recognition technology to provide drivers with a personalized driving experience. The system can automatically adjust the rearview mirror, seat, steering wheel and music system based on the recognized driver record.
5) Track movement in the workplace
Facial recognition has proven to resist fingerprint or ID card access control in the office. Nowadays, computer vision provides enterprises with powerful power in the following aspects and optimizes the monitoring system:
a) By installing AI-based security cameras throughout the organization, companies can track the activities of employees and visitors in real time. It enables companies to prevent unauthorized entry into specific areas.
b) In addition, the rapid digitization of employee data can change the old reception desk in the office. The precise object detection function of the facial recognition system can help office workers manage inventory, server rooms, office supplies, etc.
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