Integrating IoT technology into basketball action recognition enhances sports analytics, providing crucial insights into player performance and game strategy. However, existing methods often fall short in terms of accuracy and efficiency, particularly in complex, real-time environments where player movements are frequently occluded or involve intricate interactions. To overcome these challenges, we propose the EITNet model, a deep learning framework that combines EfficientDet for object detection, I3D for spatiotemporal feature extraction, and TimeSformer for temporal analysis, all integrated with IoT technology for seamless real-time data collection and processing. Our contributions include developing a robust architecture that improves recognition accuracy to 92\%, surpassing the baseline EfficientDet model's 87\%, and reducing loss to below 5.0 compared to EfficientDet's 9.0 over 50 epochs. Furthermore, the integration of IoT technology enhances real-time data processing, providing adaptive insights into player performance and strategy. The paper details the design and implementation of EITNet, experimental validation, and a comprehensive evaluation against existing models. The results demonstrate EITNet's potential to significantly advance automated sports analysis and optimize data utilization for player performance and strategy improvement.

Internet of Things (IoT) applications are becoming more widespread. According to Statista, worldwide expenditure on IoT in 2022 is expected to be $1B. IoT enables a myriad of different business applications. Knowing those IoT examples and use cases can help businesses integrate IoT technologies into their future investment decisions. That is why we set out to create the most comprehensive list of IoT use cases in industries.

As a set of technologies based on edge computing infrastructure and 5G or high-speed connectivity, it is rapidly becoming a reality with many real-world implementations. Statista estimates global IoT spending will hit 1.1 trillion dollars this year, predicting the number of IoT devices worldwide will shoot up from 13 billion currently, to more than 29 billion in 2030. Since it is based on "things", its direct impact on the day-to-day work of senior management or finance departments may seem remote. But IoT can sustain AI (Artificial Intelligence) and machine learning (ML) applications handling multitudes of data flowing from many types of sensors and devices, even when mobile. It opens up huge opportunities for everyone, whether supplying or using services.

Billions of devices are connected to the internet. By the end of 2019 there were around 3.6 billion devices that are actively connected to the Internet and used for daily tasks. With the introduction of 5G that will open the door for more devices, and data traffic. You can add to this trend the increased adoption of edge computing which will make it easier for businesses to process data faster and close to the points of action. Making the most of data, and even understanding on a basic level how modern infrastructure functions, requires computer assistance through artificial intelligence.

The mix of IoT and AI is being used by tech enthused agencies for curbing the rise of coronavirus cases, and flattening the curve. By the time you finish reading this article, the number of new coronavirus cases would have increased in tens of thousands. While the world has slowly started to live and adapt in this environment as a new norm, scientists and tech enthusiasts around the globe have not settled down. They are constantly finding new ways to curb the COVID-19 rise. One of the ways they have been working is the adoption of technologies – to be more precise, AI and IoT technology. Let's look into how these two technologies are bringing the world closer to a time where we will have a better control of the situation.

Hey Alexa, turn the lights on!;' Do you ever wonder how Alexa is able to make things so well by herself? Together with artificial intelligence (AI), machine learning, and cloud technology, IoT is something that brings intelligence to Alexa. The Internet of Things (IoT) will radically change the way we live and work in the 21st century, as more and more devices will be connected to each other. According to a published report by Statista, the Internet of Things market in 2022 will be worth 496.6 billion U.S. dollars.

One of the most widely used buzzwords in the logistics sector in 2022 is "digitalization." The word is a useful umbrella term for the evolution to computer-based processes from manual procedures that relied on pencils and clipboards in the warehouse or printed manifests at the loading dock. But references to the trend nearly always ignore the tactical steps needed to make digitalization happen. Your DC probably doesn't have a magic wand that transforms basic paper checklists into cloud-based software platforms. So how are practitioners driving toward the goal of pulling logistics processes into the 21st century?

In a world dominated by artificial intelligence, data, and ever-advancing connectivity technologies, it's hard to leave the'Internet of Things' out of a list of innovative and game changing technologies. In fact, IoT may be one of the most important technologies out there right now, as it is responsible for the success of many other technologies, like machine learning. As the market landscape evolves over the next several years, it's critical for businesses to monitor how things are changing. Some of the most successful businesses are the ones who think creatively about evolving technologies. Coming up with ideas for innovative ways to use and combine these technologies together isn't possible without keeping an eye on these trends.

Thanks to the rise of new technologies, the world we live in today is vastly different from the world we lived in, even just a few years ago. One of the most profound changes the internet has brought about is the rise of the internet of things (IoT). The IoT refers to the network of physical devices connected to the internet that can collect, store, share, and interpret data. With IoT in mind, one of the biggest trends in the tech world is the rise of Artificial Intelligence. The AI technology has been used in everything from computers to medical devices, and it will only become more prevalent in our everyday lives.

Nowadays, digital transformation has happened in every aspect of our life, from professional business to personal free time. For many of us, we are getting used to participating in all kinds of online activities and even shifting the focus of life to the online world. On the one hand, the Internet is the first thing that comes to mind for most of us when we need to find information. On the other hand, we are consciously or unconsciously sharing our personal information on the internet when we are engaged in all kinds of online activities, such as online shopping, sharing posts on social media, and even just surfing websites. We often say that the Internet is a double-edged sword.