Advanced Camera Surveillance For Intruder Detection And Suspicious Activity Monitoring

Strengthening Factory Security: Advanced Camera Surveillance for Intruder Detection and Suspicious Activity Monitoring

Enhancing security is critical for large-scale industrial facilities like Yunus Textile Mills (YTML).

Accurate Results for Housekeeping

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Accurate Admin Alerts

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About Shan

Enhancing security is critical for large-scale industrial facilities like Yunus Textile Mills (YTML). As part of their commitment to safeguarding operations and preventing unauthorized activities, YTML implemented an advanced camera surveillance system to monitor intruders, suspicious movements, and other potential security threats. This system was developed by The Disrupt Labs to ensure real-time monitoring and deliver instant alerts, helping the security team act quickly and efficiently.

By incorporating features such as crowd monitoring, emergency exit tracking, and zone-specific detection, the new system significantly improved security measures and streamlined operations without disrupting daily activities. Designed for accuracy and scalability, the system has significantly improved security measures, helping YTML stay ahead of potential risks.

The Challenge

YTML faced several challenges in upgrading its security infrastructure:

01.

High Sensitivity to Environmental Variables

Cameras needed to operate effectively under varying lighting conditions, weather changes, and movement speeds while minimizing false alarms.

02.

Integration with Existing Infrastructure

The new system had to integrate seamlessly with the existing setup without disrupting daily operations, ensuring minimal downtime during installation.

03.

Real-Time Notifications

Immediate alerts were required to notify security personnel via WhatsApp, complete with images and text for quick decision-making.

04.

Customizable Detection Zones

The factory’s layout included multiple restricted areas and emergency zones, requiring the system to allow zone-specific customization for precise monitoring.

“The AI-based PPE Monitoring System from The Disrupt Labs has transformed our approach to workplace safety. Automating PPE monitoring has minimized human error, brought compliance levels to over 95%, and saved us countless hours previously spent on manual tracking. The system’s intuitive dashboard and automated reporting allow our management team to make informed, data-driven decisions, significantly boosting both safety and operational efficiency. It has truly set a new benchmark for safety at our facility.”

M/S Axens

Representative

The Solution

The surveillance system addressed all the challenges by automating key aspects of factory security.

AI-Powered Detection and Tracking

Machine learning algorithms enabled real-time object detection and tracking, delivering reliable performance even under changing lighting and environmental conditions while minimizing false positives for accurate alerts.

Integration with Existing Systems

Advanced cameras were integrated with the existing infrastructure, ensuring minimal operational disruption during installation and scalability for future upgrades.

Real-Time WhatsApp Notifications

Alerts with images and descriptive text were sent directly to designated personnel, enabling faster responses to potential security threats.

Customizable Detection Zones

Admins were able to define specific monitoring zones, such as restricted areas, parking lots, and emergency exits, providing targeted alerts for critical areas.

Crowd Monitoring and Emergency Alerts

The system detected real-time crowd buildup and alerted staff to potential risks, triggering emergency alerts when crowds moved toward exit points.

Housekeeping Alert

If a pallet, cardboard, or garbage trolley is found in the general areas for more than half an hour, an alert will be sent to the area supervisor.

The Outcome

The CCTV surveillance system greatly improved YTML's security and day-to-day operations. It quickly identified threats like unauthorized access and crowd buildups, allowing for faster responses and keeping everyone safer. The system also made it easier for security teams to act on alerts right away, preventing potential issues before they escalated. With its smooth integration, managing data and updating contacts for alerts became simpler, ensuring the system remains effective and easy to use as YTML grows.

Enhanced Security

Unauthorized access and crowd buildup were detected and addressed promptly, and emergency exit alerts ensured timely responses to safety risks.

Proactive Response

Security teams were able to act immediately on alerts, improving overall safety measures and reducing delays in managing potential threats.

Streamlined Operations

The system simplified data management from cameras and alerts, making it easy to add or update recipient details for WhatsApp notifications.

Conclusion

The advanced camera surveillance system has redefined security at YTML, addressing key challenges such as intruder detection, restricted area monitoring, and crowd management. By delivering real-time alerts and adapting to the factory’s unique needs, the system ensures both safety and operational efficiency. This solution reflects YTML’s dedication to maintaining a secure work environment while embracing modern technology to meet evolving security demands.

Strengthening Factory Security: Advanced Camera Surveillance for Intruder Detection and Suspicious Activity Monitoring

About Shan

The Challenge

01.

High Sensitivity to Environmental Variables