International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
Squid Game and Music Synchronization Mrs. Suhasini1, Ms. Bhavana VR2, Mr. Kruthik Gowda HR3, Ms. Ramya BL4, Ms. Shama R5 1 Assistant Professor, Dept. of Computer Science and Engineering, Maharaja Institute of Technology,
Thandavapura
2,3,4,5 Students, Dept, of Computer Science and Engineering, Maharaja Institute of Technology, Thandavapura
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Abstract - According to a recent info trends study, in
with vast repositories of libraries and packages available in python like Tkinter for front- end design and development can solve various real-world problems, these coupled with deep learning algorithms and accurate object detection using Yolo and various iterations for neural networks prove to be a boon in improving the accuracy of object detection and tracking and application of these into the real world.In context to the current issue concerning expensive games with augmented reality and virtual reality because of their costly sensors and high-end processing power required for their application also not convenient for small-scale manufacturers to develop without sufficient research and development, that’s when the application of advanced computer vision comes into picture which has proven to be useful in various application like yoga pose estimation and various complex exercises like posture management thus success in this field provides a view to approaching other aspects of applicability.
2021, mobile and camera device users will have taken more than 1.5 trillion images, a sharp increase from the data from 2016. These image data will be used in a variety of real-time applications, including visual video surveillance, object identification, object detection, and classification. Advanced computer vision algorithms that were an upgrade over traditional computer vision techniques were created to manage these enormous volumes of data automatically. One of the most crucial tasks is object detection, which can greatly enhance the functionality of a variety of computer vision-based applications, including object tracking, license plate detection, mask and social distance detection, etc. To create a comprehensive Key Words: Detection, Computer vision, Image
1.INTRODUCTION Saliency and scalable object detection are two recent examples of object detection methods based on computer vision systems. The conventional object detection procedure can be divided into region detection, feature extraction, and classification. These systems have a number of problems with variations in pose, changing lighting settings, and increased complexity of localization of an object within the given image.
1.1 Overview An approach to gaming implementation of a television series which proved to be a motivation for this implementation of a game based solely just on the camera sensor and advanced computer vision technologies like tensor flow for artificial intelligence and NumPy for calculations and Tkinter for front-end development, we intend to replicate the real world game played in the movie scene into a gaming scenario using the cheapest of resources as possible and proving that immersive games can also be cheap and not needing any complex consoles
In the world of computer vision, the world is displayed in 3D, but the input to humans and computers is two-dimensional. In addition, computer systems can only process binary bits of data, but some useful programs only work in two dimensions. To take full advantage of computer vision, you need 3D information, not just a collection of 2D views. , These limited opportunities, 3D information is portrayed directly and is clearly not as good as people use. However, designing a robust, feature-rich extract for all types of objects is considered a tedious task due to the different number of lighting variations. To perform visual recognition, you need a classification model and library to further distinguish the categories of objects. Of the object.
1.2 Problem Statement Current Augmented Reality and Virtual Reality games are too expensive as the need of costly sensors to recognize movements is very high. Training of players, athletes and dancers’ posture and response time currently needs an experienced human supervision. Motion detection using cameras is not much used in game development due to its accuracy Issues also as it hinders profit margin of console developers. Understanding community, and provide mental health guidance.
The application of these advanced computer vision techniques along with various machine learning algorithms like NumPy, TensorFlow which provide support for advanced mathematical calculations along
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