Artificial intelligence security is lacking in "core" What is the progress of smart security development?

"Getting artificial intelligence to the world" has become a widely recognized phrase in the Internet circle. In recent years, artificial intelligence has set off a round of rounds of enthusiasm in the world. According to iResearch, the global AI market will reach 119 billion yuan in 2020, with a compound annual growth rate of 19.7%. In the same period, China's artificial intelligence market will reach 9.1 billion yuan, with a compound annual growth rate of over 50%. Let's take a look at the related content with the security electronic editor.

As the earliest industry with artificial space for artificial intelligence, the security industry has a clearer awareness and more urgent need for the development of artificial intelligence. Artificial intelligence is promoting the third technological change in the security industry after high-definition and networking.

In the context of the development of artificial intelligence, the security industry began a new journey of intelligence around AI. What is the progress of smart security development on this journey?

Artificial intelligence security is lacking in "core" What is the progress of smart security development?

"progress"

Edge computing promotes edge intelligence development

Edge computing refers to an open platform that integrates network, computing, storage, and application core capabilities on the edge of the network near the source or data source. It provides edge intelligent services to meet industry digitalization in agile connections, real-time services, data optimization, and application. Key requirements for intelligence, security and privacy protection. In one sentence, edge computing can be understood as referring to the completion of an arithmetic program near the edge of the data source.

With the continuous advancement of technology, the concept of "edge intelligence" came into being. It proposed a new model: let each edge device of the Internet of Things have data acquisition, analysis and calculation, communication, and most important intelligence. The new intelligent edge computing also takes advantage of the power of cloud computing, using the cloud to securely configure, deploy, and manage edge devices on a large scale, and the ability to assign intelligence based on device type and scenario, allowing intelligence to be in the cloud and edge. Flowing between them, the result is the best of both worlds.

Edge intelligence has become the trend of the times. With the advent of the era of Internet of Everything, the amount of pictures and video data generated by the front-end equipment in the field of computer vision is huge. If all of them are aggregated into the cloud computing data center for intelligent analysis, it will bring unlimited bandwidth requirements and real-time requirements for communication. pressure. This requires the provision of edge intelligence services nearby, and the gradual migration of artificial intelligence or inference capabilities from the cloud to the edge side helps to alleviate the pressure on the transmission link.

Deep learning construction promotes AI-City development

As a natural training field and application field of artificial intelligence technology, the security industry has an urgent need for the application of artificial intelligence. In recent years, with the emergence of “brains” such as “urban brain”, “traffic brain” and “police brain”, artificial intelligence deep learning technology combined with multi-dimensional perception has promoted the further development of AI-City.

The main research areas of deep learning are in speech recognition and vision, and deep learning is applied in all directions, and different technological innovations can be made in different fields. For the security industry that has mastered many video image resources, the combination of deep learning and security has a relatively high degree of fit, namely analysis of images and video, including: image analysis; face recognition; word processing.

Deep learning in the security industry is mainly concentrated on body analysis, vehicle analysis, behavior analysis, and image analysis. With the breakthrough of deep learning algorithms, intelligent analysis techniques such as target recognition, object detection, scene segmentation, character and vehicle attribute analysis have made breakthroughs.

"obstruction"

Artificial intelligence is the lack of security "core"

In the security industry, the chip can be said to run through, from the front-end to the back-end, from transmission, recording to storage, lack of "core" security, is bound to be incomplete.

Security video surveillance has a huge amount of data, which can provide enough scenarios for deep learning training. In addition, in recent years, the development of intelligent algorithms relies on massive big data, making important breakthroughs in speech recognition and vision, showing faster iterations. . The artificial intelligence in the field of security requires a processing chip with sufficient computing power, but at the chip level, there is no artificial intelligence security application chip that fully meets the actual needs.

It is difficult to break the manual intervention

Although the artificial intelligence surface has completed some bluestone bridges that humans cannot do, the large-scale application of artificial intelligence has not yet arrived, and manual intervention is needed to distinguish the differences between similar objects.

From the actual case, when the video of a single scene is taken down, the map can be quickly revealed through the map search, and based on this, the suspicion of the suspect is found, and finally the target is locked, but the expert Frankly pointed out that this process relies on artificial intelligence algorithms, it is still difficult to open manual intervention, and it is still inseparable from the analysis and judgment of video criminal investigators.

Conclusion: Nowadays, the security industry has entered the era of data explosion. In the face of the data volume of spurt growth, traditional intelligent algorithms can no longer meet the needs of deep data value mining. The deepening and deepening of artificial intelligence research has brought more and more changes to the security industry, and more and more application scenarios that can play a role.

Back Skins Films

What is a Mobile Phone Back Skin?

The Mobile Phone Back Sticker is an interesting way to decorate the phone, which can add style to the mobile phone while also providing a small amount of protection. They are different from Mobile Phone Cases, which usually pay more attention to function than style. The Back Sticker is directly attached to the surface of the phone, which can achieve a more unique appearance than most phone cases.

Sometimes called skin or Mobile Phone Case, the typical mobile phone Back Film is made of vinyl products. The material provides a glossy finish and can use a variety of colors in the design. JJT can provide you with a variety of solid colors or use a variety of different patterns and color combinations of skins. In all cases, the Back Film is close to the phone body and will not interfere with any functions of the phone.

One of the advantages of using decorative skins is that they will not be permanently attached to the phone. This means that you can choose several different Back Skin Sticker and change the appearance of the phone according to the occasion. For example, they can be used to decorate mobile phones during holidays, seasons of the year, or special events such as birthdays, wedding receptions, and any other imaginable occasions.

Whether you want to get gorgeous, high-density, high-quality skin for your smartphone, then you need 3D Relief Back Sticker to fit your phone perfectly. Abandon the bulky Phone Case and wrap the smartphone in a high-quality PVC Back Sticker.
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