The early drones were cumbersome and expensive, mainly used for geological exploration, radio program aerial photography, and the average person would have a look. Nowadays, with the lowering of the technical threshold, you can even buy various types of drones at the supermarket at your door, hovering and taking off, and even taking the camera to the screen in real time.
But do you know that Cisco, Intel, IBM, Microsoft, and Google are also developing their own drones? As a technology giant, their gameplay can be quite different.
1. Intel and AT&T develop drones to test LTE networks
At the communication show in Barcelona in February this year, Intel demonstrated its multi-rotor drone based on AT&T LTE communication technology. Unlike other drones that transmit video stream data via WiFi signals, this drone uses LTE networks. That is to say, in theory, Intel's aircraft can fly anywhere in the cell phone with LTE signals, and if there is enough power, it can fly throughout the city.
It is understood that the original intention of AT&T and Intel to test and develop the UAV is to test the application of LTE on the Internet of Things (IoT), especially at different heights, different travel speeds, and the connection effect of LTE networks in the presence of obstacles. In the future, not only your mobile phone, your refrigerator, air-conditioning water heater, and your car can access the Internet through the LTE network. Thanks to LTE technology, the UAV express delivery will gradually become possible.
2. Microsoft uses drones to catch mosquitoes
Although mosquitoes are annoying, Microsoft's drones do not want to eliminate mosquitoes to prevent mosquitoes from biting. Instead, they use drones to track the distribution of mosquitoes, and then place professional mosquito traps to capture mosquitoes and perform bioanalysis. Predict diseases that may erupt in large areas.
According to Microsoft researchers, they will deploy a world-class biometric detection system, catch mosquitoes, do biometric analysis on the fly, and then pass the data to Microsoft's cloud server. In this way, humans can take preventive measures before the epidemic breaks out, not only reducing human casualties, but also reducing human medical costs.
3.IBM research and development drone table tennis training
This is the result of the IBM Vision Research Group. IBM uses computer vision to identify table tennis, predicts the trajectory of table tennis, and then calculates the best hitback method for table tennis according to the algorithm.
At present, the working mode of the drone is to transmit the collected data to the computer first, and then calculate the result and then transmit it to the drone. The R&D staff said that in addition to continuing to improve the trajectory algorithm, they will try to get the drone to complete the data acquisition and hitting functions independently, even if there is no network connection, it can play table tennis like humans.
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