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Real-Time, YOLO-Based Intelligent Surveillance and Monitoring System Using Jetson TX2

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Data Analytics and Management

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 54))

Abstract

In recent years, real-time surveillance and monitoring system is getting importance because of security reasons. Government organizations, residential areas, commercial complexes, schools and colleges, industries, borders, and others require a dedicated surveillance system. The traditional surveillance systems do not provide real-time object identification and alerts. This paper aims to design and develop a real-time object detection and alert system (ODAS). The proposed system could be used as a surveillance and monitoring system. The object detection system uses the YOLO framework to detect objects within images and live videos. Object identity and time stamp, along with bounding box image, are marked by the detection system and stored locally. Also, the collected information is transmitted to the server in real time. At the server, the graphical user interface (GUI) application continuously gathers information from different nodes, analyzes it, and fires an alert message if the anomalies/targeted object is found. GUI also facilitates us to analyze the obtained information of an individual node or in the combination that infers the direction of movement made by a detected object and its current position. ODAS also takes the services of the real-time database to provide real-time updates of anomalies on the android phone/tablet.

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Author information

Authors and Affiliations

  1. CSIR-Central Electronics Engineering Research Institute, Pilani, India

    Prashant Kumar, S. Narasimha Swamy, Pramod Kumar, Gaurav Purohit & Kota Solomon Raju

  2. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India

    Prashant Kumar, S. Narasimha Swamy, Pramod Kumar, Gaurav Purohit & Kota Solomon Raju

Authors
  1. Prashant Kumar
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  2. S. Narasimha Swamy
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  3. Pramod Kumar
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  4. Gaurav Purohit
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  5. Kota Solomon Raju
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Corresponding author

Correspondence to Prashant Kumar .

Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, New Delhi, India

    Ashish Khanna

  2. Maharaja Agrasen Institute of Technology, New Delhi, India

    Deepak Gupta

  3. Jan Wyzykowski University, Polkowice, Poland

    Zdzisław Pólkowski

  4. CHRIST (Deemed to be University), Bengaluru, India

    Siddhartha Bhattacharyya

  5. Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kumar, P., Narasimha Swamy, S., Kumar, P., Purohit, G., Raju, K.S. (2021). Real-Time, YOLO-Based Intelligent Surveillance and Monitoring System Using Jetson TX2. In: Khanna, A., Gupta, D., Pólkowski, Z., Bhattacharyya, S., Castillo, O. (eds) Data Analytics and Management. Lecture Notes on Data Engineering and Communications Technologies, vol 54. Springer, Singapore. https://doi.org/10.1007/978-981-15-8335-3_35

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