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Research can't tell you that there are 44 trillion cameras staring at you in the world

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  • Time of issue:2018-09-14 16:05

Research can't tell you that there are 44 trillion cameras staring at you in the world

It is reported that market research companies such as Goldman Sachs have previously released data showing that the total number of cameras in the world is about 14 trillion. According to LDV's latest research, products equipped with cameras include smart home products such as robots, security systems, and Amazon Echo.

We are already under the surveillance of various cameras. Photographer and entrepreneur Evan Nisselson (Evan Nisselson) founded LDV in 2012. He pointed out, “Today you walk through major areas, parks or train stations in New York or San Francisco, and you will leave images.”

Nelson believes that everyone has a different view of the camera. But it believes that as long as the relevant equipment can make people feel from it, people will generally accept more and more cameras. He imagined such a future where his Amazon Echo would notice his clothes and suggest buying a new set of clothes. The stove uses a camera to prevent children from getting too close while playing. Or the front door uses a camera for facial recognition, allowing only certain people to enter.

The enhancement of artificial intelligence technology combined with the continuous drop in the price of cameras has led to an increasing penetration rate of equipment. More cameras can collect more visual data, and can further improve the algorithm, so as to realize more artificial intelligence services based on camera equipment. Nielsen pointed out, "I think 90% of the foundation of artificial intelligence lies in visual data." For example, the artificial intelligence of an autonomous car can not only observe the environment around the vehicle through the camera, but also determine whether the driver in the car is awake enough. If the camera in the car can perform real-time monitoring when driving a car every day, if the driver's performance is not normal enough, the artificial intelligence will respond accordingly. Nielsen also admitted that the biggest challenge is to determine the cause of the problem and why the driver is not behaving normally.

LDV pointed out that the growth of wearable camera equipment is still slow, and smartphone camera is still the mainstream. Nielsen said that smartphone cameras will get closer and closer to "real cameras."

At the same time, the development of augmented reality technology will create a better development environment for smart phone camera equipment, which can integrate more information into the smart phone screen. But in short, photography is still the main driving force, Nielsen said, "Capturing images and sharing is the main driving force for photographers who need more cameras."



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