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Smart Surveillance System Using AI for Real-Time Anomaly Detection

  • Unique Paper ID: 175694
  • Volume: 11
  • Issue: 11
  • PageNo: 3536-3541
  • Abstract:
  • Indeed, considering these technological advancements, smart surveillance systems are very relevant to improving security architectures and reducing the likelihood of human errors that occur in manual monitoring. This paper, premised on advanced AI technologies such as CNN and I3D, postulates a framework that shall enable the realization of an integrated smart surveillance system to detect real-time anomalies in the preventive actions of crimes and traffic incident management. Using such artificial intelligence models enables it to continuously track live video streams; and correctly detect, identify, and classify irregularities such as crimes or accidents. In case of irregularity detection, the system instantly reacts in just a minute by taking visual documentation in the form of snapshots and forwarding instant notice calls to concerned authorities for prompt action. Coupling all these AI technologies allows for really significant improvements both in terms of speed and accuracy and, more generally, dependability, which makes it a powerful resource to enhance public safety across any kind of environment. The paper presents the foundational architecture of the system, conducts a technical review of the components and equipment used, and provides a roadmap for future development and possible use in smart city infrastructures.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 3536-3541

Smart Surveillance System Using AI for Real-Time Anomaly Detection

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Journal no 47859

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