The Russia pavilion at Expo 2020 Dubai is using the latest facial recognition technology to control crowds at the pavilion and analyze visitors’ gender and age to demonstrate how video analytics can support smart cities of the future.
Dozens of cameras installed at the entrance of the pavilion, as well as in various halls, are connected to a central control room, where data on visitor numbers, including segmentation based on gender and age, are collected.
Installed by NtechLab, the technology partner of the pavilion, the system also collects information about visit times and determines whether attendees are new or returning visitors.
Andemir Bizhoev, head of sales Middle East, NtechLab, said the technology helps the pavilion manage queues and also understand their customers.
“It can notify employees when an excessively large number of people gather in one area. It will also provide information about queues in specific areas, such as what time they formed and how many people are in the queue. That way, you don’t need security guards to man the crowd,” Bizhoev said.
“For instance, the data will show me that the Russian pavilion had 179 unique visitors in the last hour, and 62 percent were men and 38 percent were women. Eighty-nine percent of this were unique visitors,” he said, analyzing the collected data for the day.
According to him, the technology can be used by retails firms and also by countries to plan smart cities of the future.
Bizhoev said NtechLab’s technology can be used by retailers to understand their target customers. “We are also showcasing the technology and how it can support smart cities of the future.”
He said the same facial recognition algorithm is integrated into the Moscow city video analytics system, allowing real-time, high-precision facial recognition in the video stream, which can be used to compare with databases of wanted and missing persons.
In 2020, over 5,000 crimes were solved in Moscow using a video analytics system with facial recognition technology, according to data by the Ministry of Internal Affairs of Russia.
The market for facial recognition access control technology is worth $3.8 billion and is expected to grow to $8.5 billion by 2025.
With governments investing in smart cities that rely on AI, Big Data, and autonomous technologies, facial recognition technology is considered essential for offering safe and efficient digital solutions and services.
Dismissing concerns regarding a breach of privacy, Bizhoev said the technology does not store facial images as data.
“We are just providing analytics so that they can make calculated business decisions based on the age or gender of the customers. For crowd-controlling, the system can be programmed to limit the number of people to 50 to 100 depending on the requirements,” he said.
(Except for the headline, this story has not been edited by The Technology Express staff and is published from a syndicated feed)
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