Enhancement of a Machine Learning Allocation with Video Copy Detection using IoT with Steganography for Raspberry Pi
Year: 2025
Type: article
Abstract: The IoT is being created by Internet and billions of physical devices (IoT). These devices are producing more useful or meaningless data. This data must be prepared and transmitted, which is a difficult task. Future research directions and other IoT applications are also discussed. The security sector is undoubtedly one of the IoT framework's application areas. It is essential to a common little effort solution to prevent wrongdoing and guarantee the safety of individuals from the home, military, industry, and other settings. This study covers the depiction driven evolution procedure for AI Security System employing Raspberry Pi IoT setup. It makes note at end of the client’s expectation. Such kind of instance is to share the information and protect with the Internet of Things that are more dependent by having the methods of Artificial Intelligence which supports the level of proximity and some of the non-mistaken with an accuracy of 90 percent proof,and the major confirmation to be made here is being a part of this. This method utilizes the help of electric door that are striking the actuator and the USB type web camera with the example of Image-gathering. It is also a kind of application with a standard programming Interfaces to collect similar gaming plans which are to be more related with the Internet of Things which are based on boarding knowledge of Raspberry Pi and also the steganography type distribution.
Source: Journal of Machine and Computing
Authors: Karthika P, Balamurali S
Institution: Kalasalingam Academy of Research and Education
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409181592