International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
Voice Assistance Based Remote Surveillance System Jitendra Bhandarkar1, Gouri Halde2, Sunita Parihar3 1M.Tech. Scholar, ECE, Priyadarshini College of Engineering, Nagpur, India
23Assistant Professor, ECE, Priyadarshini College of Engineering, Nagpur, India
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Abstract - In this project, a live video streaming system is
For the image processing and software development purpose here, we used high level general-purpose programming language i.e. Python. For ESP32 cam module setup Arduino IDE and embedded c language is used. It’s a low-cost development board with a small camera module attached. It is a versatile & affordable platform for developing image-based IoT applications.
designed. With the fast-growing world trend toward video surveillance systems, by means of which one can monitor the entire system remotely, this becomes interesting and easy. In other words, systems present the idea where one can monitor a remote area from a particular place. This project deals with the design approach of an embedded based real-time surveillance system using ESP32 Cam module for intrusion detection with face detection and recognition, fire detection, voice alerts, live video streaming, and portability as the supreme features of the system. The proposed solution offers a cost-effective, voice-assistance-based, ubiquitous surveillance solution that is efficient and easy to implement.
Let's talk about the already proposed system. When we started looking for some sample research papers on security surveillance systems, and after studying them, we discovered some common things and a few concepts as follows: Ruiguan Ge, Zhenfang Shan and Hao Kou,proposed a system An Intelligent Surveillance System, that the system has the characteristics of a timely alarm with high compression and good usability, motion detection algorithm and quantitative media compression technology. The outcome of the simulation experiment confirms that the improved motion detection algorithm is reliable. Personal device can effectively decode and play surveillance video [1].
Key Words: Remote, Surveillance, ESP32 Cam Module, Camera, PIR Sensor, Voice Alert, Python, Executable File.
1.INTRODUCTION Digitalization can be considered as a revolution of digital technologies. Now a day’s people and things are interconnected for every possible need. Today everyone wants his home to be safe in every way, from thieves, fire, strangers, etc., and one of the things that people will want to know about their monitoring/surveillance system is whether or not they have the ability to connect to it over the cloud for remote viewing. In the past, security systems had to be monitored by guards. He was continuously watching the monitors to make sure that nothing would happen. Because of their incredible features, video surveillance systems are becoming increasingly popular.
Saroja Kanta Panda and Sushanta Kumar Sahu, proposed a systemwhere, they create a fully functional, real-time monitoring system. In the future, plan to use OpenCV as a better way to improve the detection algorithm, because it mainly depends on the threshold value. Its mean algorithm was developed to perform absolute conditions and to determine whether a person is authenticated or not [2]. Qinsheng Du, and Jiling Tang, “Design of the ARM Based Remote Surveillance System,”, They created a system where video has been compressed by the MJPEG algorithm and then directly sent to owner, It’s about Image Compression [3].
We are back with a product which is very interesting because of its unique features, and it’s a voice assistance based. Here, we used image processing to improve the project's concepts. Image processing indicates the processing of an image or video frame that is taken as an input, and the result set of the processing may be a set of related parameters of the image. The purpose of image processing by which we can analyse how is the person's movement? Who’s the person, whether it's known or unknown? What is the object found? and so many other things. And after analysing all this, our system will tell us with a voice alert that the person is identified or unknown, the object, activity and movement. One of the feature of the system is the requirement of less storage space because of the system responds on only when any motion is detects in front of camera.
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Rohan Namdeo, Sahil Sharma, Varun Anand and Chanchal Lohi in July 2020 proposed a system “Smart Automated Surveillance System using Raspberry Pi”, where the system will send an alert notification immediately to the owner whenever there is a movement detected, the system will take images at desired time and start recording video [5]. Sruthy. S, S. Yamuna, and Sudhish N. George, in 2017 proposed a system where person detection with face recognition feature and fire detection are the prime features of this system in “An IoT based Active Building Surveillance System using Raspberry Pi”. And the source is IEEE [6].
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