In recent times, a video titled "China Skynet" has gone viral on social media. The footage showcases how the "Skynet" system goes beyond just recognizing facial features—it connects to extensive databases and performs real-time matching based on identified characteristics. This makes it an invaluable tool in criminal investigations and missing persons searches.
At yesterday’s Hangzhou Yunqi Conference, the power of face recognition technology was even more impressive. It wasn’t just used for event management; China Post showcased its advanced “black tech†for package delivery, drawing significant audience attention.
From the videos released, it’s clear that once a user receives a pickup notification, they can approach a smart locker. The system uses an infrared camera to capture images in both near-infrared and visible light, analyzing facial textures and micro-expressions for accurate identification. If the match is successful, the locker door opens automatically, allowing the user to collect their parcel.
Compared to the old method where couriers had to manually hand over packages, this new system eliminates the hassle of sifting through piles of boxes. What’s more, the entire face-scanning process operates at a millisecond level, with a built-in financial risk prevention module that blocks fake attempts like photos, videos, or masks. This not only improves efficiency but also significantly reduces the risk of theft.
Face recognition isn't just limited to logistics. It's already being widely used in various sectors. For instance, at airports, passengers are often asked to face a camera during security checks to confirm their identity. However, this process requires them to stay still, which can be inconvenient and time-consuming.
To address this, Dubai International Airport introduced face recognition in 2018, replacing traditional passport checks. Passengers now go through a special channel equipped with over 80 cameras that identify them automatically, streamlining the process and reducing congestion.
Beyond security and logistics, cities like Shenzhen, Jinan, Haikou, and Shanghai have deployed red-light recognition systems at intersections. These systems capture pedestrians who run red lights and display their images on large screens, creating a public shaming effect. Many people then take action to avoid future exposure by paying fines.
The global face recognition market has seen explosive growth, rising from $390 million in 2009 to $2.653 billion in 2016, with an average annual growth rate of 31.5%. Analysts predict continued expansion, reaching around $7.595 billion by 2022.
Despite its rapid development, the technology still faces challenges. Factors like lighting, facial expressions, accessories, or aging can affect accuracy. Twins, for example, pose a particular challenge due to their similar features. Additionally, changes in appearance over time—especially for younger individuals—can impact recognition results.
However, with increasing research and the integration of AI, the future of face recognition looks promising. As part of the Internet of Things era, it's expected to become a key method for identity verification, offering vast business opportunities.
Globally, several companies lead in this field. Internationally, firms like Germany’s Cognitec, Spain’s HertaSecurity, Japan’s NEC, and U.S.-based Identix and Bioscrypt are prominent. Google and Facebook, despite entering later, leverage strong technical capabilities and data resources to dominate the market.
In China, leading players include Shang Tang Technology, GTS Technology, and Yuncong Technology. Shang Tang, known for its high recognition rates, has gained international recognition. GTS provides facial scanning solutions for Alibaba, while Yuncong leads in banking applications.
As the technology continues to evolve, its impact on daily life will only grow, making face recognition a powerful and essential tool in modern society.
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