scholarly journals The Symmetries in Film and Television Production Areas Based on Virtual Reality and Internet of Things Technology

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1377 ◽  
Author(s):  
Zheng Xie
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Internet Of Things ◽  
Knowledge Acquisition ◽  
Film Production ◽  
Technology System ◽  
Television Production ◽  
Film And Television ◽  
Artificial Intelligence Technology ◽  
Internet Of Things Technology

To enrich the form of film and television production, improve the level of film and television production, and satisfy the film-watching experiences of audiences, based on Virtual Reality (VR) and the Internet of Things (IoT) technology, with the help of S3 Studio Max and Photoshop software, a VR film-watching system is built, which realizes the interaction with users on different devices through somatosensory interaction sensors. In addition, by utilizing Twirling720, the panoramic sound recording is achieved. Through this system, a smart IoT platform between users, films, and devices is built. Finally, this platform is utilized to produce the film and television work Van Gogh in Dream, which is evaluated and analyzed through questionnaires. The results show that the technology system of this set of film and television production is complete, and the production level of film and television works have been significantly improved. The audience recognition of film and television production based on this technology is 55%, and the impression evaluation is over 56%. However, knowledge acquisition is only 20%, and historical understanding is above 50%. These dimensions show that compared with traditional film production, artificial intelligence films can bring a better experience to audiences, but knowledge acquisition is less. Therefore, professional knowledge will be improved at the later stage. The above results provide a theoretical basis for the application of artificial intelligence technology in film production and production mode.

scholarly journals Application of Virtual Reality Technology in Film and Television Animation Based on Artificial Intelligence Background

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Yanrong Bao
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Social Life ◽  
Quality Evaluation ◽  
Course Design ◽  
Television Program ◽  
Sensor Technology ◽  
Teaching Mode ◽  
Film And Television ◽  
Artificial Intelligence Technology

The application of artificial intelligence technology in the film and television field has profoundly changed the content and production methods of television programs and promoted the development and production of a new generation of artificial intelligence television. The popularization of artificial intelligence technology is conducive to improving the quality of television program content, innovating content categories, reducing television program production cost, and improving production efficiency. Due to the popularization and the use of virtual reality (VR) technology in scientific research and social life, the application of VR technology has been studied from the perspective of film and television animation (FTA) teaching, hoping to promote the development of FTA education. First, the existing dynamic environment modeling technology, real-time three-dimensional (3D) graphic generation technology, stereoscopic display, and sensor technology and other VR technologies are combined to carry out teaching design. In view of the current situation of the teaching process of FTA major, the research on these four aspects has been carried out. VR technology is used as an auxiliary teaching tool to complete the basic course teaching of FTA; the 3D animation course and VR technology are combined to improve the teaching effect of professional skill courses. Then, in the application effect, classroom satisfaction, comprehensive quality evaluation, and professional core curriculum effect are compared and analyzed. The results show that the students’ comprehensive quality evaluation in VR technology group is significantly improved, and the satisfaction of classroom atmosphere, teaching mode, and teaching facilities are 75%, 61%, and 81%, respectively. The students in this group can better integrate the new design method into the animation modeling and complete the course design task with high quality. Compared with the traditional teaching mode, the students’ satisfaction is higher and the harvest is greater. Therefore, the use of VR technology in FTA teaching can stimulate students’ interest in learning, improve learning efficiency, and promote the mastery of professional knowledge and skills. The application mode and effect analysis of the proposed VR technology provide a reference for the application of VR technology in FTA teaching.

scholarly journals Exploration of the Application of Virtual Reality and Internet of Things in Film and Television Production Mode

2020 ◽  
Vol 10 (10) ◽  
pp. 3450 ◽  
Author(s):  
Qian Song ◽  
Yoo Sang Wook
Keyword(s):  
Virtual Reality ◽  
Internet Of Things ◽  
Future Development ◽  
Recall Rate ◽  
Virtual Character ◽  
Adaboost Algorithm ◽  
Television Production ◽  
Film And Television ◽  
Interaction System ◽  
The Future

In order to reduce some of the problems of technological restructuring and insufficient expansion in the current film and television production mode, the application of emerging technologies such as artificial intelligence (AI), virtual reality (VR), and Internet of Things (IoT) in the film and television industry is introduced in this research. First, a topical crawler tool was constructed to grab relevant texts about “AI”, “VR”, and “IoT” crossover “film and television”, and the grasping accuracy rate and recall rate of this tool were compared. Then, based on the extracted text, the data of recent development in related fields were extracted. The AdaBoost algorithm was used to improve the BP (Back Propagation) neural network (BPNN). This model was used to predict the future development scale of related fields. Finally, a virtual character interaction system based on IoT-sensor technology was built and its performance was tested. The results showed that the topical crawler tool constructed in this study had higher recall rate and accuracy than other tools, and a total of 188 texts related to AI, VR, and IoT crossover television films were selected after Naive Bayes classification. In addition, the error of the BPNN prediction model based on the AdaBoost algorithm was less than 20%, and it can effectively predict the future development scale of AI and other fields. In addition, the virtual character interaction system based on IoT technology constructed in this study has a high motion recognition rate, produces a strong sense of immersion among users, and can realize real-time capture and imitation of character movements. In a word, the field of AI and VR crossover film and television has great development prospects in the future. Therefore, the application of IoT technology in building the virtual-character interaction system can improve the effect of VR or AI film and television production.

scholarly journals Intelligent Application of Artificial Intelligence Internet of Things Technology in the Economic and Legal Fields

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tingting Tan
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Criminal History ◽  
Fund Raising ◽  
Economic Crime ◽  
Internet Technology ◽  
Sensor Technology ◽  
Crime Intelligence ◽  
Internet Of Things Technology ◽  
Economic Crimes

In today’s globalized situation, people on the one hand enjoy the great convenience brought by the Internet and artificial intelligence Internet of Things (IoT) technology, and, on the other hand, they are also inevitably subject to a series of harms brought by network technology. Internet economic crime is a new type of crime based on Internet technology. Criminals use Internet technology to conduct illegal visits and Trojan horse program attacks, steal user information, and defraud victims of money. This has resulted in the people’s personal and property safety and social harmony and stability. Strictly cracking down on cyber economic crimes in accordance with the law is of great significance to safeguarding the interests of the people and maintaining social stability. However, as the methods and forms of cyber economic crimes emerge endlessly, it is very important to collect intelligence information on such crimes. This paper proposes using the sensor technology, embedded system technology, radio frequency automatic identification technology, and cloud computing technology in artificial intelligence Internet of Things technology to design and build a data-mining-based network economic crime intelligent information aggregation collection system to realize network economic crime intelligence of aggregation and analyze and help combat cyber economic crimes. This article takes cyber economic crime cases in various cities in our province as an example, selects 9 cyber economic criminals’ intelligence information as sample data, and tests and applies the designed cyber economic crime intelligence information system. The final results show that the numbers of cyber economic crime cases in four cities A, B, C, and D in four provinces are roughly the same, but city A has the largest number; the minimum confidence of the 9 criminals is above 0.60, indicating that the economic crimes of cyber economic criminals are related to their academic background and family status and criminal history are related to a certain extent; illegal fund-raising fraud and online credit card fraud account for the largest proportion of the four cities and are currently the main forms of online economic crime.

scholarly journals Design and Implementation of 3D Film and Television Scene Production Algorithm Based on the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ruiying Kuang
Keyword(s):  
Internet Of Things ◽  
Collision Detection ◽  
3D Models ◽  
The Internet ◽  
Film And Television ◽  
Mapping Technology ◽  
3D Scene ◽  
Internet Of Things Technology ◽  
3D Movie ◽  
The Internet Of Things

Film and television itself is a product of culture and innovation, combining digital technology, creative thinking, and artistic design. In the rapid development of 3D film and television, the situation of scene design and production has also become an important role. In a typical environment, the main scene plays the role of film and television and coherent plot. This thesis mainly analyzes the design and implementation of a 3D movie scene production algorithm based on the Internet of Things and also makes 3D movie scenes through the algorithm of Internet of Things technology. This article also analyzes the traditional 3D scene-making algorithm, which is mainly composed of a plane mapping part, a basic primitive generation part, a collision detection and positioning part, and a terrain generation part. Among them, the plane mapping technology provides the function of using plane mapping to simulate 3D objects. The basic primitive generation part uses the OpenGl function to draw 3D primitives and paste the BMP format image on each surface of the stereo primitives, so that the 3D model can be represented by a plane texture; collision detection is a key part of mechanical physics, which can detect games of the physical edge of the object in the middle; the terrain generation part uses the converted gray height value as the corresponding grid terrain height and uses planar mapping technology to capture the image of the entire terrain, that is, paste and generate a terrain map. The results show that a characteristic of the algorithm of the Internet of Things technology is that the 3D scene is completely mapped. This avoids the trouble of using 3DMAX and other tools to create 3D models and also reduces the difficulty of creating 3D scenes and makes the execution efficient, which is better than directly importing 3D models, runs faster, and runs very smoothly. The Internet of Things is an important development trend in the Internet information age and can be used to produce 3D film and television scenes to reduce development difficulty and cost and has a variety of research and development value and practical value. In the analysis part, this article also introduces the algorithms used in the scene production and passes the tests of 4 different files in 4 different frames and also found that more than 83% of people feel that the use of Internet of Things algorithms in the production of 3D movie scenes has improved production efficiency.

scholarly journals Artificial Intelligence Applications in the New Model of Logistics Development Based on Wireless Communication Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Shuaiqi Wang
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Internet Of Things ◽  
Cost Reduction ◽  
Sharing Economy ◽  
Smart Logistics ◽  
Supply Chain Logistics ◽  
Service Efficiency ◽  
Artificial Intelligence Technology ◽  
The Internet Of Things

With the continuous development of artificial intelligence technology, the supply chain logistics industry has shown new changes. The products of the intelligent era such as smart devices, big data computing, and Internet of Things technology have gradually become the transformation and innovation of logistics and supply chain enterprises. The important driving force of the logistics and supply chain industry will greatly improve the operational efficiency of the logistics and supply chain industry. Methods. This article studies the technical framework of artificial intelligence and explores the upgrading and transformation of supply chain logistics enterprises in logistics infrastructure, production tools, and logistics operation processes under the promotion of artificial intelligence technology, from warehouse location, inventory management, warehousing operations, transportation, and distribution. The data analysis and prediction analyze the impact of artificial intelligence on the supply chain logistics field and finally point out the problems in the intelligent development of the supply chain logistics field and put forward targeted suggestions to promote the modern supply chain logistics to become more intelligent. developThe new development trend of smart logistics is towards sharing economy, automation, service efficiency, and cost reduction. Results. In this context, if logistics companies want to achieve higher-quality development, they cannot do without business model innovation and larger-scale collaboration, transparency of logistics information, and more comprehensive information sharing. The new trend of the development of smart logistics is to develop in the direction of sharing economy, automation, service efficiency, and cost reduction. Conclusion. Intelligence and the Internet of Things are the inevitable trend of the development of smart logistics, which is mainly realized through the Internet of Things path in terms of visual information technology, intelligent robot operation, vehicle scheduling, and cargo traceability.

Design of industrial internet of things system based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-11
Author(s):  
Xu Kun ◽  
Zhiliang Wang ◽  
Ziang Zhou ◽  
Wang Qi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Industrial Equipment ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Test Platform ◽  
Artificial Intelligence Technology

For industrial production, the traditional manual on-site monitoring method is far from meeting production needs, so it is imperative to establish a remote monitoring system for equipment. Based on machine learning algorithms, this paper combines artificial intelligence technology and Internet of Things technology to build an efficient, fast, and accurate industrial equipment monitoring system. Moreover, in view of the characteristics of the diverse types of equipment, scattered layout, and many parameters in the manufacturing equipment as well as the complexity of the high temperature, high pressure, and chemical environment in which the equipment is located, this study designs and implements a remote monitoring and data analysis system for industrial equipment based on the Internet of Things. In addition, based on the application scenarios of the actual aeronautical weather floating platform test platform, this study combines the platform prototype system to design and implement a set of strong real-time communication test platform based on the Windows operating system. The test results show that the industrial Internet of Things system based on machine learning and artificial intelligence technology constructed in this paper has certain practicality.

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