Identification and location monitoring through Live video Streaming by using blockchain

Abstract

Surveillance through video surveillance is the basis for the increasing demand for security. Users who are capable can manipulate video images, timestamps, and camera settings digitally; they can also physically manipulate camera locations, orientation, and mechanical settings. Advanced video manipulation techniques can easily alter cameras and videos, which are essential for criminal investigations. To ensure security, it is necessary to increase the level of security for the camera and video data. Blockchain technology has gained a lot of attention in the last decade due to its ability to create trust between users without the use of third-party intermediaries, which allows for many applications. Our goal is to create a CCTV camera system that utilizes blockchain technology to guarantee the reliability of video or image data. The truthfulness of stored data can be confirmed by authorities using blockchain technology, which enables data creation and storage in a distributed manner. The workflow of tracking and blockchain storage to secure data was discussed for security purposes. Develop an algorithm that synchronizes all updated criminal records of all users with IoT devices. Our final step involved calculating the accuracy of tracking the recognized face in diverse datasets with different resolutions and assessing the efficiency of the location being tracked. The accuracy of recognition has changed depending on the resolution. Low-resolution datasets have more accuracy than high-resolution datasets. According to the analysis, the system's average accuracy is 98.5%, and its tracking efficiency is 99%. In addition, smart devices in various locations can take actions on specific individuals according to the distributed blockchain server storage.