Real-Time Footfall Monitoring System For Yunus Textile Mills Limited

The system offers accurate headcounts, helping quickly identify personnel during emergencies like earthquakes or fires, and keeps detailed records of labor presence.

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Improved Labor Monitoring

About YTML

YTML, a leading textile manufacturer, wanted to improve safety and make it easier to manage the flow of people in their facilities. Their old methods for tracking footfall and monitoring labor attendance were slow and often inaccurate, making it tough to ensure safety, especially during emergencies.

To tackle these issues, YTML teamed up with The Disrupt Labs to implement an AI-powered Footfall Monitoring System. This system provides real-time data on who is in the factory, helps during emergencies, and makes visitor management much more efficient. Using advanced AI technology, YTML aimed to create a safer, more organized workplace for everyone.

The system offers accurate headcounts, helping quickly identify personnel during emergencies like earthquakes or fires, and keeps detailed records of labor presence.

The Challenge

YTML faced several key challenges that needed an innovative solution:

01.

Accurate Headcount

Maintaining real-time data on the number of people present in the factory was difficult, leading to potential safety risks and inefficiencies.

02.

Emergencies

During emergencies like earthquakes or fires, it was crucial to have reliable data on personnel presence to aid in evacuation and rescue efforts.

03.

Labor-Specific Monitoring

Distinguishing between employees and visitors was essential for effective workforce tracking and ensuring the right people were in the right areas.

04.

Visitor Management

Tracking visitor entries and exits accurately without interrupting daily operations was another challenge.

05.

Data Storage and Reporting

Securely managing large volumes of data while allowing easy access for audits and analysis was critical for operational transparency and compliance

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“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.”
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M/S Axens
Representative

The Solution

The Disrupt Labs designed an AI-powered Real-Time Footfall Monitoring System tailored to YTML’s needs. This system integrated advanced technology to address each challenge effectively:

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Real-Time Footfall Monitoring

High-resolution cameras and advanced algorithms provided real-time detection and counting of individuals, distinguishing between employees and visitors with accuracy.

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Emergency Preparedness Module

The system continuously updated headcounts, generating alerts during emergencies to help track missing individuals and identify unsafe zones, aiding in swift and efficient evacuation.

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Data Collection and Reporting

Centralized data storage allowed for comprehensive logs of labor presence, visitor entries, and headcounts, with automated report generation to simplify audits and ensure compliance.

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Visitor Management System

The system tracked visitor entries with time-stamped records, providing notifications for movements within sensitive areas to enhance security without disrupting operations.

The Outcome

The AI-powered Footfall Monitoring System has redefined safety and operational efficiency at YTML. By harnessing real-time data and advanced AI technology, YTML revolutionized how they manage personnel and visitors, creating a safer and more streamlined workplace. This case study highlights the powerful impact of AI-driven solutions in boosting industrial safety and overall operational performance.

Conclusion

The real-time Footfall Monitoring System implemented at YTML demonstrates the transformative power of AI in improving factory safety and operational efficiency. The system brought significant enhancements, including real-time headcounts and emergency alerts that improved evacuation procedures and rescue efforts during both drills and actual emergencies. Accurate labor attendance tracking simplified workforce management and ensured compliance with safety regulations. Visitor tracking became seamless, enhancing security without interfering with daily operations. Additionally, robust data storage provided valuable insights, enabling smarter, data-driven decisions to enhance safety and productivity. By addressing challenges related to headcount accuracy, emergency preparedness, and labor monitoring, this AI-powered solution has set a new standard for factory management