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Home / Casi di studio / Enhancing Campus Security at Malatya İnönü Üniversitesi with the Axxon One Advanced Video Management Software

Enhancing Campus Security at Malatya İnönü Üniversitesi with the Axxon One Advanced Video Management Software

Malatya University undertook a comprehensive upgrade of its campus security infrastructure. This project aimed to deploy cutting-edge technologies to enhance security measures, streamline operations, and provide robust monitoring and analysis capabilities.

About the Client

Malatya İnönü Üniversitesi is one of Turkey’s prominent educational institutions, known for its commitment to academic excellence and innovation. With a diverse student body and a sprawling campus, the university faces unique security challenges that require robust and scalable solutions. The administration is dedicated to providing a safe learning environment, making school security a top priority.

Recognizing the need for a state-of-the-art school security system, the university partnered with AxxonSoft, a leader in video management and video analytics domains, aiming to enhance the safety of its students, staff, and facilities.

Challenges

The university faced several education security challenges, including monitoring large campus areas, controlling access to facilities, managing vehicle traffic, and ensuring the safety of both students and staff. The existing university security system was outdated and insufficient to meet the growing demands.

Customer
Malatya İnönü Üniversitesi

Product
Axxon One VMS

Location
Malatya, Turkey

Features & Analytics
License plate recognition (LPR), intelligent search, video wall, remote client access, GPU acceleration

Solution

Project Scope

The school security systems upgrade project at Malatya İnönü Üniversitesi encompassed the installation and integration of a wide array of advanced technologies provided by AxxonSoft. The key solution components included:

  • School security cameras: Installation of 950 high-resolution 5 MP cameras across the campus to ensure extensive coverage and detailed monitoring.
  • AI video analytics: Implementation of AI-powered object detection and tracking on 100 cameras for enhanced situational awareness.
  • Identification technology: Deployment of video analytics dedicated to identification on sixteen cameras for improved access control in school.
  • LPR License Plate Recognition: Integration of fifteen LPR cameras to monitor and manage vehicle access and parking.
  • Radar speed detection: Installation of six Milesight radar speed detection cameras to monitor and enforce speed limits within campus premises.
  • Videowall: Establishment of a centralized video wall for real-time monitoring and management of the entire school security system.
  • Remote access: Providing seven remotely located client workstations with access to the school security system for decentralized monitoring.
  • Occupancy monitoring: Deployment of people counting analytics on six cameras along with a comprehensive dashboard for occupancy monitoring and analysis.
  • Server infrastructure: Installation of three Supermicro servers and two NVIDIA RTX A2000 GPUs to support the computational demands of the advanced AI and video processing.

Implementation

The project was executed in several phases to minimize disruption to university operations. Each phase involved careful planning, installation, and testing to ensure all components worked seamlessly together.

Phase 1: Assessment and Planning

AxxonSoft conducted a thorough assessment of the university’s existing school security infrastructure and requirements. Based on this assessment, a detailed project plan was developed, outlining the placement of cameras, servers, and other critical components.

Phase 2: Installation

The installation phase involved setting up the 950 high-resolution school cameras across key locations on the campus. These cameras were strategically placed to cover high-traffic areas, entrances, exits, and other critical points.

Phase 3: Integration of AI and Analytics

The next step was the integration of AI and video analytics features. This included setting up AI object detection and LPR. The neural network–based tracking technology was configured to enhance the system’s ability to detect and respond to unusual activities.

Phase 4: Speed Detection and People Counting

The radar speed detection cameras were installed at strategic points to monitor vehicle speeds and ensure compliance with campus speed regulations. The people counting cameras were deployed in areas with high foot traffic to monitor occupancy and movement patterns.

Phase 5: Centralized Monitoring and Remote Access

The video wall was set up in the central security control room to provide a comprehensive view of all camera feeds and analytics data. Remote access was configured for seven remote client workstations, allowing decentralized monitoring and quick response capabilities.

Phase 6: System Testing and Optimization

Comprehensive testing was conducted to ensure all components of the system were functioning correctly. Adjustments and optimizations were made based on the test results to ensure peak performance and reliability.

Results and Benefits

The implementation of the Axxon One advanced VMS has significantly enhanced the education security and safety in Malatya İnönü Üniversitesi. Key benefits include:

  • Improved coverage and visibility: The extensive camera network provides comprehensive coverage, ensuring no blind spots across the campus.
  • Enhanced threat detection: AI-powered object detection and identification capabilities have improved the ability to identify and respond to potential threats quickly.
  • Efficient vehicle management: The LPR system has streamlined vehicle monitoring and management, enhancing campus traffic control.
  • Speed regulation enforcement: Radar speed detection cameras have helped enforce speed limits, improving safety for pedestrians and drivers.
  • Data-driven insights: People counting and the corresponding dashboard provide valuable insights into campus occupancy and movement patterns, aiding in better facility management.
  • Robust infrastructure: The high-performance server and GPU setup ensure smooth and efficient processing of video data and AI analytics operation.

Conclusion

The collaboration between Malatya İnönü Üniversitesi and AxxonSoft has successfully created a state-of-the-art school security system, setting a new benchmark for campus safety. The advanced technologies and AI-driven analytics have not only enhanced education security but also provided valuable data for informed decision-making. By implementing this comprehensive security solution, Malatya University has demonstrated its commitment to providing a safe and secure environment for its community. This case study exemplifies how innovative school security solutions leveraging advanced technology can transform campus safety, ensuring a secure and conducive environment for education.