Avishkar 2023 [1] ai powered cctv surveillance system.pptx

Ai surveillance system ai

1. AI-Powered CCTV Surveillance System for Enhanced Security and Incident Detection Problem statement Objectives Proposed System Methodology/Process Implementation Details Future Scope References Applications A v i s h k a r - 2 2 3 AI-Powered CCTV Surveillance System for Enhanced Security and Incident Detection 1)maintain security of area 2)prevent unauthorized access 3)maintain integrity of data 4)provide safe environment 5)reduce human effort 6)realtime alert Real-time threat detection: CCTV cameras equipped with AI technology can monitor live video streams to look for signs of intrusion, suspicious activity, and items that shouldn't be there. Crime prevention it can analyse historical data to find patterns of criminal behaviour, which can assist authorities in taking precautions to ward off further crimes.AI-based CCTV can assist businesses in streamlining operations by offering insights into foot traffic, wait times, and other factors., as well as other elements that may affect effectiveness.Given the increasing demand for security and surveillance across numerous sectors, including government agencies, transportation, and retail, there is a substantial market need for AI-based CCTV systems. According to a report by ResearchAndMarkets, the video analytics market in India is projected to reach USD 1.39 billion by 2026, growing at a CAGR of 16.6% during the forecast period. The Smart Cities Mission and the Atmanirbhar Bharat Abhiyan, two Indian government programs, are anticipated to accelerate the growth of the AI-based video surveillance market in India. 1) Gather a diverse dataset of CCTV footage that represents the environments where the system will be deployed. 2)Clean and preprocess the data, including resizing, normalization 3)Train the s models on the preprocessed data to recognize objects, individuals, and anomalies. 4)Integrate the trained models into the CCTV system, 5)real-time video processing to continuously analyze CCTV feeds. 6)alerting mechanisms to notify security personnel or authorities when security breaches detected. 1) Object Detection Implement a deep learning model YOLO 2. Facial Recognition :deep learning model like FaceNet 3. Anomaly Detection: anomaly criteria, such as loitering, sudden crowd dispersion, or abandoned objects. 4. Real-Time Video Processing:Employ efficient video processing libraries l OpenCV for real-time frame extraction and analysis. 5. Alerting and Notification:Configure alerting mechanisms to notify relevant personnel when security breaches or predefined events occur.Send alerts via email, SMS, or integration with a security incident management system. 1) Global Deployment 2)Customization and Adaptability 3)Health and Pandemic Monitoring 4)Smart Cities and IoT Integration 5)Autonomous Surveillance Drones 6)Behavioral Analysis 1) Banking and Finance: 2) Border Security 3) Critical Infrastructure Protection 4) Schools and Educational Institutions 5) Smart Cities 6) Event Security 7) Prison and Correctional Facilities 8) Residential Security 9)Industrial Facilities 10)airports, train stations, and bus terminals https://ieeexplore.ieee.org/document/10169620