Remote sensing meets the value and demand of AI, new opportunities and new challenges

Atlas 200 can also be combined with Huawei's full-stack, all-scenario AI capabilities and Atlas product series to achieve better compatibility in the fields of cloud integration and multi-device computing, effectively coping with the complex solution deployment and cloud integration applications that may be required for AI+remote sensing.

AI computing power is flying in the sky, but it is only a small part of the intelligent remote sensing. Looking further, we can find that the machine vision represented by Atlas 200 and the mode of connecting everything are effectively creating breakthrough opportunities for various industries. The intelligent iteration of everything inevitably starts with a chip.

Everything starts with the core

In general, when Atlas 200 enters the UAV remote sensing space, we can see that the following application scenarios have achieved breakthroughs:

1. Enhanced real-time image recognition and image preprocessing capabilities. Enhanced the efficiency of real-time applications such as real-time analysis of agricultural disasters, disaster relief dispatch, and road condition and mountain detection and early warning.

2. Based on the security guarantee of local computing, the terminal processing capability is improved, so that the remote sensing work of electricity, mining, and power systems can better apply AI capabilities for remote sensing and mapping, and improve the industrial-level application capabilities of remote sensing technology.

3. The high cost-effectiveness and mainstream computing power of the Atlas series of products can better support the implementation of real industrial projects, help the industry to complete low-cost and low-threshold deployment of AI remote sensing, and avoid out-of-stock situations in large-scale deployments, build a more complete and stable supply chain, and make it possible for long-tail industries such as agriculture that require widespread deployment of AI remote sensing to be applied.

In general, Atlas allows intelligent remote sensing to truly enter thousands of industries through the hardware channel, allowing intelligent remote sensing technology to achieve real-time, industrial-grade, and low-threshold capabilities to a certain extent, adapting to the needs of various industries.

At the same time, it should be noted that these three points combined allow machine vision capabilities to enter the industry with high efficiency, high security and low cost. At present, this capability is not only needed in the remote sensing field, but also in a large number of industries that require the application of visual recognition, image and video processing. Edge-side AI acceleration is an indispensable industry foundation.

For example, smart cameras in public places and traffic scenarios, facial recognition solutions in smart parks, visual systems of tour guide robots, etc. all require fast and easy access to end-side AI computing power that can efficiently support industrial applications.

The intelligence of everything starts with the "core" of everything. The story of Atlas 200 making AI computing power fly in the air and remote sensing landing in thousands of industries can perhaps be regarded as a "formula". It is reused in countless industrial ports today, forming a true blueprint for inclusive AI.