Table of Contents
1. Technical status quo
2. Artificial intelligence and other technologies support
Home Technology peripherals AI With the support of artificial intelligence, the security inspection industry enters a new era of intelligence

With the support of artificial intelligence, the security inspection industry enters a new era of intelligence

Apr 11, 2023 pm 08:28 PM
AI Security check Intelligent

In the 1970s, the First Research Institute of the Ministry of Public Security introduced the first generation of security inspection equipment in China based on absorbing foreign security inspection equipment technology. After years of development, especially with the holding of various international events in China, the construction of domestic infrastructure and the rapid development of rail transit, China's demand for the application of security inspection equipment has continued to increase, and its sales growth rate is much higher than the international average level. On this basis, with the help of my country's strong manufacturing capabilities and the innovation and creation environment vigorously advocated and promoted by the country, China has become one of the world's largest security inspection equipment markets integrating R&D, production and sales.

With the support of artificial intelligence, the security inspection industry enters a new era of intelligence

However, in recent years, as the global anti-terrorism situation has become increasingly severe, security inspections and explosive disposal at airports, high-speed rails, large event venues and key government departments have received widespread attention from various countries. Facing the new situation, security inspection technology has developed unprecedentedly, and security inspection intelligence is increasingly on the agenda.

1. Technical status quo

Key application fields of security inspection Civil aviation security inspection has been established for more than 30 years. The environment and situation faced have undergone major changes, but the inspection mode has not made a qualitative leap. The security inspection equipment Although the upgrade has made great progress in user experience, there is no essential innovation in key technical aspects. The equipment currently in widespread use cannot achieve fine imaging and intelligent identification, and can only rely more on the experience and judgment of inspectors. Although technical defense is an auxiliary and human defense is the key, due to limitations in technical level and repeated manual confirmation in multiple links, Reduced inspection efficiency.

Traditional security inspections have problems such as reliance on manual identification, information closed-loop fragmentation, and the inability to trace back big data. In addition, there is a lack of information interaction between various systems, inconvenience in data retrieval, and the inability to conduct unified analysis. Neither can proactive warnings be achieved. , and cannot provide effective decision-making basis for management. The lag in informatization construction has resulted in an operational management pattern that passively accepts information.

Faced with various risks, the security inspection industry still responds more in traditional ways, with very limited means, mainly relying on employees' self-management, self-pressure, and strict inspection. Judging from the current security situation and the rapid development trend of technology, the technological update of security inspection facilities and equipment and the accelerated implementation of information construction are the keys to improving the quality, efficiency and reputation of the entire security inspection industry. Major airports aiming to build aviation hubs should strengthen their defense lines with the construction of technical platforms, and use more technical means to replace manpower to reduce errors and risks.

2. Artificial intelligence and other technologies support

Artificial intelligence security inspection, a new force in the security inspection industry-"intelligent security inspection". It is based on the research and development experience of existing safety detection equipment and is organically combined with artificial intelligence. It can not only improve efficiency but also interact with big data, thus becoming an effective means of social security. At the same time, due to the emergence of artificial intelligence, the security inspection industry is also undergoing a huge change and ushering in a new round of development opportunities.

Driven by the rapid development of data, algorithms and computing power, artificial intelligence technology has developed vigorously in recent years, and has derived a variety of applications in various industries. AI has been integrated into the security industry and is a technological change for security inspections. At present, "smart security inspection" has become an important trend in the security inspection industry. The main new features are: the integration and application of Internet of Things technology and new sensing technology - such as new perimeter security equipment using millimeter wave technology; big data collection and analysis Applications - such as "license and photo integration, fingerprint comparison, portrait collection and other comparison verification" security inspection applications; applications of medical-grade imaging technology - such as "see-through, imaging security doors"; artificial intelligence is widely used, etc.

At present, new technologies such as artificial intelligence and big data have been innovatively integrated with the security inspection industry, and have achieved breakthroughs in many aspects and dimensions. For example, accurate analysis of explosives has become possible and major breakthroughs have been achieved. In addition, the new generation of imaging security inspection equipment has gradually replaced the traditional single metal security inspection door; image recognition technology has replaced manual identification, and the detection of dangerous goods has been automated; the verification functions such as license and photo integration, fingerprint comparison, and portrait collection are integrated; comparison The fingerprint information or face information in the holder's ID card can be used to complete the verification of "identical identity", solve security inspection problems such as inconsistent identity and impersonation, and intelligentize information collection and comparison; human body temperature measurement applications, especially during the epidemic Demonstrate the advantages of new products and meet market demand expectations. The multi-functional door launched by Gatekeeper God in response to this epidemic integrates "temperature detection, disinfection, and face recognition". It can not only improve the efficiency of prevention and control work, traffic speed, reduce crowd density, but also greatly reduce the number of people interacting with each other. Cross-infection caused by close contact temperature measurement can achieve accurate matching between personnel and temperature.

Artificial intelligence is the core technology of the new generation of scientific and technological revolution, which profoundly affects people's production and life. With the integration of artificial intelligence and security inspection equipment, relevant companies are also taking advantage of their own advantages to integrate artificial intelligence into the security inspection business to meet the constantly updated security inspection needs. The traditional security inspection industry is entering a new era of intelligence.

The above is the detailed content of With the support of artificial intelligence, the security inspection industry enters a new era of intelligence. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Jun 28, 2024 am 03:51 AM

This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Context-augmented AI coding assistant using Rag and Sem-Rag Context-augmented AI coding assistant using Rag and Sem-Rag Jun 10, 2024 am 11:08 AM

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

Seven Cool GenAI & LLM Technical Interview Questions Seven Cool GenAI & LLM Technical Interview Questions Jun 07, 2024 am 10:06 AM

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Jun 11, 2024 pm 03:57 PM

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework Jul 25, 2024 am 06:42 AM

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time Jul 17, 2024 pm 06:37 PM

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

Five schools of machine learning you don't know about Five schools of machine learning you don't know about Jun 05, 2024 pm 08:51 PM

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. Aug 01, 2024 pm 09:40 PM

According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year

See all articles