Last week, a foreign drone computer vision startup called Percepto won a million-dollar seed round investment. The investors are also very famous, including Time Warner's former CEORichardParsons, famous venture capitalist, Dallas Mavericks owner MarkCuban, and China's famous Angel investors, etc.
The company had already raised crowdfunding in indiegogo before it got an investment in March, and got a report from Wired, a well-known foreign media, praising its “automatic tracking of the drone for the droneâ€. Earlier, the Lily drone, when it was in the publicity of the film, there was a scene where it followed the skier’s tracking, so the drone visual computing has long been a foreign phenomenon, and these look What seems to be inadvertent and not great innovation is precisely what Chinese entrepreneurs are trying to find and lack.
But the truth often comes very simple. From the point of view of the drone, the foreign sticks will be so innovative, because the foreign sticks are born to play better than us. When they are playing, they will be surprised and stunned. The reporters of the technology industry for many years immediately realized that the UAV computing vision is likely to become the next wave of industrial opportunities after the drone machine, and found a domestic drone visual computing. An entrepreneur understands that now we should Know the information.
How do you see the visual computing technology of a drone?
To put it simply, it can be understood that the camera and the sensor are combined with a computer to simulate the effects of the human eye and the brain to obtain the distance in three dimensions, thereby identifying the object, judging the motion state of the object, and others.
For the current drones, the main reason is distance sensing, because the laser scanner equipment is too expensive and too heavy, and the miniaturized, low-cost distance measurement involves hardware sensors and software algorithms; another Classes are target-detected, including detection, tracking, navigation, and others. Most of them are based on the integration extension of these two types.
What stage does the domestic drone calculate vision?
As far as I know, the domestic drone computing visuals can demonstrate that the cool technical effects can spread very quickly, but in general it is still in the stage of transformation from the laboratory to the market, everyone is Looking for a combination point, in addition to the use of images combined with machine learning, the stability is relatively high, and many other methods still have limitations in practical applications, such as lighting, occlusion.
The cool effect of the drone?
Cool effects are similar to the ability to track, block, and sense the environment, so that the drone can meet the needs of some tasks. A bit like the Intel Realscene platform, targeted development for possible application scenarios of aircraft.
Can it be integrated into the cloud platform?
This has nothing to do with the gimbal. The gimbal just warms up. This technique either integrates the algorithm into the sensor, or uses a general-purpose sensor to obtain the data and then runs the algorithm on the mobile or on-board computing unit.
Can it be solved directly on the matching mobile app?
Generally, such an algorithm has a large amount of computation, and requires a large amount of data to be transmitted from the aircraft to the mobile phone. The distance and the bandwidth are limited, and the fever is also very powerful. The App can only say that an alternative solution can be made, but what application scenario to look at .
What is the prospect of this technology development?
It depends on the stage of development of the drone industry, which is a bit like the active safety and automatic driving in the automobile industry. It is only popularized after the car has developed to a certain extent.
If the visual technology is stable and practical in effect, the small unmanned aircraft can be solved at a small cost and become a module or a basic software and hardware platform.
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